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1
Paverd, Wayne. "Information visualisation." Master's thesis, University of Cape Town, 1996. http://hdl.handle.net/11427/13528.
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Bibliography: leaves 100-102.Information visualisation uses interactive three-dimensional (3D) graphics to create an immersive environment for the exploration of large amounts of data. Unlike scientific visualisation, where the underlying physical process usually takes place in 3D space, information visualisation deals with purely abstract data. Because abstract data often lacks an intuitive visual representation, selecting an appropriate representation of the data becomes a challenge. As a result, the creation of information visualisation involves as much exploration and investigation as the eventual exploration of that data itself. Unless the user of the data is also the creator of the visualisations, the turnaround time can therefore become prohibitive. In our experience, existing visualisation applications often lack the flexibility required to easily create information visualisations. These solutions do not provide sufficiently flexible and powerful means of both visually representing the data, and specifying user-interface interactions with the underlying database. This thesis describes a library of classes that allows the user to easily implement visualisation primitives, with their accompanying interactions. These classes are not individual visualisations but can be combined to form more complex visualisations. Classes for creating various primitive visual representations have been created. In addition to this, a number of auxillary classes have been created that provide the user with the ability to swap between visualisations, scale whole scenes, and use automatic level of detail control. The classes all have built-in interaction methods which allow the user to easily incorporate the forms of interaction that we found the most useful, for example the ability to select a data. item and thereby obtain more information about it, or the ability to allow the user to change the position of certain data items. To demonstrate the effectiveness of the classes we implemented and evaluated a. number of example systems. We found that the result of using the classes was a decrease in development time as well as enabling people with little, or no visualisation experience to create information visualisations.
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Rice, Iain. "Probabilistic topographic information visualisation." Thesis, Aston University, 2015. http://publications.aston.ac.uk/27348/.
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The focus of this thesis is the extension of topographic visualisation mappings to allow for the incorporation of uncertainty. Few visualisation algorithms in the literature are capable of mapping uncertain data with fewer able to represent observation uncertainties in visualisations. As such, modifications are made to NeuroScale, Locally Linear Embedding, Isomap and Laplacian Eigenmaps to incorporate uncertainty in the observation and visualisation spaces. The proposed mappings are then called Normally-distributed NeuroScale (N-NS), T-distributed NeuroScale (T-NS), Probabilistic LLE (PLLE), Probabilistic Isomap (PIso) and Probabilistic Weighted Neighbourhood Mapping (PWNM). These algorithms generate a probabilistic visualisation space with each latent visualised point transformed to a multivariate Gaussian or T-distribution, using a feed-forward RBF network. Two types of uncertainty are then characterised dependent on the data and mapping procedure. Data dependent uncertainty is the inherent observation uncertainty. Whereas, mapping uncertainty is defined by the Fisher Information of a visualised distribution. This indicates how well the data has been interpolated, offering a level of ‘surprise’ for each observation. These new probabilistic mappings are tested on three datasets of vectorial observations and three datasets of real world time series observations for anomaly detection. In order to visualise the time series data, a method for analysing observed signals and noise distributions, Residual Modelling, is introduced. The performance of the new algorithms on the tested datasets is compared qualitatively with the latent space generated by the Gaussian Process Latent Variable Model (GPLVM). A quantitative comparison using existing evaluation measures from the literature allows performance of each mapping function to be compared. Finally, the mapping uncertainty measure is combined with NeuroScale to build a deep learning classifier, the Cascading RBF. This new structure is tested on the MNist dataset achieving world record performance whilst avoiding the flaws seen in other Deep Learning Machines.
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Lahtinen, Linn. "Mobile Information Visualisation : Recommendations for creating better information visualisation interfaces on mobile devices." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210563.
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An increasing use of smartphones and other mobile devices puts pressure on user interfaces to work as well on small touch-screens as on desktop computers, and information visualisation interfaces are no exception. Even though there has been a demand for research on mobile information visualisation for many years, relatively little has been accomplished in this area, and the research that has been conducted is often narrow and oriented toward to a certain design. Therefore, this paper aims to give more general recommendations regarding the design of information visualisation interfaces for mobile devices. A qualitative user study was conducted to find weaknesses and strengths in existing information visualisation interfaces when interacted with on a smartphone. For this study, five prototypes were made by which different visualisations and interaction methods were tested by the participants of the study. The participants were given tasks based on the Visual Information Seeking Mantra, which focuses on four types of interaction with information visualisations (overview, zoom, filter and details-on-demand). The results indicate that the interaction with a visualisation is more important than visualisation itself to achieve a useful and efficient information visualisation interface. Other aspects to consider is to have an adequate zoom function, to not have interactive objects that are too small and to avoid over-cluttering. The latter aspect can be solved by either taking advantage of gestures or using more layers in the interface. However, what visualisations and interaction methods that work best is heavily dependent on the data and purpose of the visualisationEn ökande användning av smartphones och andra mobila enheter sätter press på användargränssnitt att fungera lika bra på små pekskärmar som på stationära datorer, och gränssnitt för informationsvisualisering är inget undantag. Trots att det har funnits en efterfrågan på forskning om mobil informationsvisualisering under många år har relativt lite uppnåtts inom detta område, samt att den forskning som har utförts ofta är smal och inriktad mot en viss design. Därför är syftet för denna forskningsartikel att ge mer allmänna rekommendationer om utformningen av gränssnitt för informationsvisualisering på mobila enheter. En kvalitativ användarstudie genomfördes för att hitta svagheter och styrkor i befintliga gränssnitt vid interaktion med en smartphone. För denna studie gjordes fem prototyper genom vilka olika visualiseringar och interaktionsmetoder testades av deltagarna i studien. Deltagarna fick uppgifter baserade på et mantra kallat ”the Visual Information Seeking Mantra”, som fokuserar på fyra typer av interaktion med informationsvisualiseringar. Resultaten indikerar att interaktionen med en visualisering är viktigare än själva visualiseringen för att uppnå ett användbart och effektivt informationsvisualiseringsgränssnitt. Andra aspekter att tänka på är att ha en effektiv zoomfunktion, att inte ha interaktiva objekt som är för små och att undvika att ha för många objekt på ett litet område. Den senare aspekten kan lösas genom att antingen dra fördel av gester eller använda fler lager i gränssnittet. Vilka visualiseringar och interaktionsmetoder som fungerar bäst är dock starkt beroende av data och syftet med visualiseringen.
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Badawood, Donia. "Narrative construction in information visualisation." Thesis, City, University of London, 2015. http://openaccess.city.ac.uk/15994/.
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Storytelling has been used throughout the ages as means of communication, conveying and transmitting knowledge from one person to another and from one generation to the next. In various domains, formulating of messages, ideas, or findings into a story has proven its efficiency in making them comprehensible, memorable, and engaging. Information Visualization as an academic field also utilises the power of storytelling to make visualizations more understandable and interesting for a variety of audiences. Although storytelling has been a a topic of interest in information visualization for some time, little or no empirical evaluations exist to compare different approaches to storytelling through information visualization. There is also a need for work that addresses in depth some criteria and techniques of storytelling such as transition types in visual stories in general and data-driven stories in particular. Two sets of experiments were conducted to explore how two different models of information visualization delivery influence narratives constructed by audiences. The first model involves direct narrative by a speaker using visualization software to tell a data-story, while the second involves constructing a story by interactively exploring the visualization software. The first set of experiments is a within-subject experiment with 13 participants, and the second set of experiments is a between-subject experiment with 32 participants. In both rounds, an open-ended questionnaire was used in controlled laboratory settings in which the primary goal was to collect a number of written data-stories derived from the two models. The data-stories and answers written by the participants were all analysed and coded using data-driven and pre-set themes. The themes include reported impressions about the story, insight types reported, narrative structures, curiosity about the data, and ease of telling a story after experimenting with each model. The findings show that while the delivery model has no effect on how easy or difficult the participants found telling a data story to be, it does have an effect on the tendency to identify and use outliers' insights in the data story if they are not distracted by direct narration. It also affects the narrative structure and depth of the data story. Examining some more mature domains of visual storytelling, such as films and comics, can be highly beneficial to this new sub-field of data visualization. In the research in hand, a taxonomy of panel-to-panel transitions in comics has been used. The definitions of the components of this taxonomy have been refined to reflect the nature of data-stories in information visualization, and the taxonomy has then been used in coding a number of VAST Challenge videos. The transitions used in each video have been represented graphically with a diagram that shows how the information was added incrementally in order to tell a story that answers a particular question. A number of issues have been taken into account when coding transitions in each video and when designing and creating the visual diagram, such as nested transitions, the use of sub-topics, and delayed transitions. The major contribution of this part of the research is the provision of a taxonomy and description of transition types in the context of narrative visualization, an explanation of how this taxonomy can be used to code transitions in narrative visualization, and a visual summary as a means of summarising that coding. The approaches to data analysis and different storytelling axes, both in the experimental work and in proposing and applying the framework of transition types used, can be usefully applied to other studies and comparisons of storytelling approaches.
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Ingram, Robert J. "Legibility enhancement for information visualisation." Thesis, University of Nottingham, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.307802.
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Fill, Hans-Georg. "Visualisation for semantic information systems." Wiesbaden Gabler, 2006. http://d-nb.info/992136148/04.
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Long, Elena. "Election data visualisation." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1589.
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Visualisations of election data produced by the mass media, other organisations and even individuals are becoming increasingly available across a wide variety of platforms and in many different forms. As more data become available digitally and as improvements to computer hardware and software are made, these visualisations have become more ambitious in scope and more user-friendly. Research has shown that visualising data is an extremely powerful method of communicating information to specialists and non-specialists alike. This amounts to a democratisation of access to political and electoral data. To some extent political science lags behind the progress that has been made in the field of data visualisation. Much of the academic output remains committed to the paper format and much of the data presentation is in the form of simple text and tables. In the digital and information age there is a danger that political science will fall behind. This thesis reports on a number of case studies where efforts were made to visualise election data in order to clarify its structure and to present its meaning. The first case study demonstrates the value of data visualisation to the research process itself, facilitating the understanding of effects produced by different ways of estimating missing data. A second study sought to use visualisation to explain complex aspects of voting systems to the wider public. Three further case studies demonstrate the value of collaboration between political scientists and others possessing a range of skills embracing data management, software engineering, broadcasting and graphic design. These studies also demonstrate some of the problems that are encountered when trying to distil complex data into a form that can be easily viewed and interpreted by non-expert users. More importantly, these studies suggest that when the skills balance is correct then visualisation is both viable and necessary for communicating information on elections.
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Sun, Yi. "Non-linear hierarchical visualisation." Thesis, Aston University, 2002. http://publications.aston.ac.uk/13263/.
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This thesis applies a hierarchical latent trait model system to a large quantity of data. The motivation for it was lack of viable approaches to analyse High Throughput Screening datasets which maybe include thousands of data points with high dimensions. We believe that a latent variable model (LTM) with a non-linear mapping from the latent space to the data space is a preferred choice for visualising a complex high-dimensional data set. As a type of latent variable model, the latent trait model can deal with either continuous data or discrete data, which makes it particularly useful in this domain. In addition, with the aid of differential geometry, we can imagine that distribution of data from magnification factor and curvature plots. Rather than obtaining the useful information just from a single plot, a hierarchical LTM arranges a set of LTMs and their corresponding plots in a tree structure. We model the whole data set with a LTM at the top level, which is broken down into clusters at deeper levels of the hierarchy. In this manner, the refined visualisation plots can be displayed in deeper levels and sub-clusters may be found. Hierarchy of LTMs is trained using expectation-maximisation (EM) algorithm to maximise its likelihood with respect to the data sample. Training proceeds interactively in a recursive fashion (top-down). The user subjectively identifies interesting regions on the visualisation plot that they would like to model in a greater detail. At each stage of hierarchical LTM construction, the EM algorithm alternates between the E - and M - step. Another problem that can occur when visualising a large data set is that there may be significant overlaps of data clusters. It is very difficult for the user to judge where centres of regions of interest should be put. We address this problem by employing the minimum message length technique, which can help the user to decide the optimal structure of the model.
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Taylor, Ian. "'Dynamic scaling for three-dimensional information visualisation'." Thesis, University of Nottingham, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.324478.
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Hales, Gavin. "Assisting digital forensic analysis via exploratory information visualisation." Thesis, Abertay University, 2016. https://rke.abertay.ac.uk/en/studentTheses/774128b9-957e-4a05-aa74-dbeefebb8113.
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Background: Digital forensics is a rapidly expanding field, due to the continuing advances in computer technology and increases in data stage capabilities of devices. However, the tools supporting digital forensics investigations have not kept pace with this evolution, often leaving the investigator to analyse large volumes of textual data and rely heavily on their own intuition and experience. Aim: This research proposes that given the ability of information visualisation to provide an end user with an intuitive way to rapidly analyse large volumes of complex data, such approached could be applied to digital forensics datasets. Such methods will be investigated; supported by a review of literature regarding the use of such techniques in other fields. The hypothesis of this research body is that by utilising exploratory information visualisation techniques in the form of a tool to support digital forensic investigations, gains in investigative effectiveness can be realised. Method:To test the hypothesis, this research examines three different case studies which look at different forms of information visualisation and their implementation with a digital forensic dataset. Two of these case studies take the form of prototype tools developed by the researcher, and one case study utilises a tool created by a third party research group. A pilot study by the researcher is conducted on these cases, with the strengths and weaknesses of each being drawn into the next case study. The culmination of these case studies is a prototype tool which was developed to resemble a timeline visualisation of the user behaviour on a device. This tool was subjected to an experiment involving a class of university digital forensics students who were given a number of questions about a synthetic digital forensic dataset. Approximately half were given the prototype tool, named Insight, to use, and the others given a common open-source tool. The assessed metrics included: how long the participants took to complete all tasks, how accurate their answers to the tasks were, and how easy the participants found the tasks to complete. They were also asked for their feedback at multiple points throughout the task. Results:The results showed that there was a statistically significant increase in accuracy for one of the six tasks for the participants using the Insight prototype tool. Participants also found completing two of the six tasks significantly easier when using the prototype tool. There were no statistically significant different difference between the completion times of both participant groups. There were no statistically significant differences in the accuracy of participant answers for five of the six tasks. Conclusions: The results from this body of research show that there is evidence to suggest that there is the potential for gains in investigative effectiveness when information visualisation techniques are applied to a digital forensic dataset. Specifically, in some scenarios, the investigator can draw conclusions which are more accurate than those drawn when using primarily textual tools. There is also evidence so suggest that the investigators found these conclusions to be reached significantly more easily when using a tool with a visual format. None of the scenarios led to the investigators being at a significant disadvantage in terms of accuracy or usability when using the prototype visual tool over the textual tool. It is noted that this research did not show that the use of information visualisation techniques leads to any statistically significant difference in the time taken to complete a digital forensics investigation.
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Williams, Jason B. "The role of visual analogy in information visualisation." Thesis, Loughborough University, 2002. https://dspace.lboro.ac.uk/2134/36110.
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This thesis is inspired by the growing domain of information visualisation, and the potentially open-ended choice of visual representations which can be used to represent any given abstract concept. Such a potentially unlimited choice means that the question of choosing an appropriate visual form is not insubstantial. This thesis therefore attempts to explore how to usefully inform such a choice through the concept of visual analogy. To this end a series of multidimensional icons are developed which differ in terms of level of analogy for a given concept. The practical studies outlined then set out first to confirm this difference in practical terms and then explore the implications of using different levels of explicit visual analogy in tasks appropriate to the use of multidimensional icons. The results reveal that a continuum of 'degree' of analogy can be practically established which increasingly constrains the interpretation users assign to representations as the level of analogy increases.
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Moore, Jeanne. "Visualisation of data to optimise strategic decision making." Master's thesis, University of Cape Town, 2017. http://hdl.handle.net/11427/25478.
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1.1 Purpose of the study: The purpose of this research was to explain the principles that should be adopted when developing data visualisations for effective strategic decision making. 1.1.1 Main problem statement: Big data is produced at exponential rates and organisational executives may not possess the appropriate skill or knowledge to consume it for rigorous and timely strategic decision-making (Li, Tiwari, Alcock, & Bermell-Garcia, 2016; Marshall & De la Harpe, 2009; McNeely & Hahm, 2014). 1.1.2 Sub-problems: Organisational executives, including Chief Executive Officers (CEOs), Chief Financial Officers (CFOs) and Chief Operating Officers (COOs) possess unique and differing characteristics including education, IT skill, goals and experiences impacting on his/her strategic decision-making ability (Campbell, Chang, & Hosseinian-Far, 2015; Clayton, 2013; Krotov, 2015; Montibeller & Winterfeldt, 2015; Toker, Conati, Steichen, & Carenini, 2013; Xu, 2014). Furthermore, data visualisations are often not "fit-forpurpose", meaning they do not consistently or adequately guide executive strategic decision-making for organisational success (Nevo, Nevo, Kumar, Braasch, & Mathews, 2015). Finally, data visualisation development currently faces challenges, including resolving the interaction between data and human intuition, as well as the incorporation of big data to derive competitive advantage (Goes, 2014; Moorthy et al., 2015; Teras & Raghunathan, 2015). 1.1.3 Research Questions: Based on the challenges identified in section 1.1.1 and 1.1.2, the researcher has identified 3 research questions. RQ1: What do individual organisational executives value and use in data and data visualisation for strategic decision-making purposes? RQ2: How does data visualisation impact on an executive's ability to use and digest relevant information, including on his/her decision-making speed and confidence? RQ3: What elements should data analysts consider when developing data visualisations? 1.2 Rationale: The study will provide guidance to data analysts on how to develop and rethink their data visualisation methods, based on responses from organisational executives tasked with strategic decision-making. By performing this study, data analysts and executives will both benefit, as data analysts will gain knowledge and understanding of what executives value and use in data visualisations, while executives will have a platform to raise their requirements, improving the effectiveness of data visualisations for strategic decision-making. 1.3 Research Method: Qualitative research was the research method used in this research study. Qualitative research could be described as using words rather than precise measurements or calculations when performing data collection and analysis and uses methods of observation, human experiences and inquiry to explain the results of a study (Bryman, 2015; Myers, 2013). Its importance in social science research has increased, as there is a need to further understand the connection of the research study to people's emotions, culture and experiences (Creswell, 2013; Lub, 2015). This supports the ontological view of the researcher, which is an interpretivist's view (Eriksson & Kovalainen, 2015; Ormston, Spencer, Barnard, & Snape, 2014). The epistemology was interpretivism, as the researcher interviewed executives and data analysts (Eriksson & Kovalainen, 2015; Ritchie, Lewis, Nicholls, & Ormston, 2013). Furthermore, literature relating to decision-making supported the researcher's interpretivist view, as people generally make decisions based on what they know at the time (Betsch & Haberstroh, 2014). Therefore, the researcher cannot separate the participant from his/her views (Dhochak & Sharma, 2016).The population for this research comprised of 13 executives tasked with strategic decision-making, as well as 4 data analysts who are either internal (permanent employees) or external (consultants) of the organisation within the private sector. 1.4 Conclusion: RQ1: What do individual organisational executives value and use in data and data visualisation for strategic decision-making purposes? Based upon the findings, to answer RQ1, organisational executives must first be clear on the value of the decision. No benefit will be derived from data visualisation if the decision lacks value. The executives also stressed the importance of understanding how data relevancy was identified, based on the premise used by the data visualisation developers. Executives also value source data accuracy and preventing a one-dimensional view by only incorporating data from one source. Hence the value of dynamism, or differing data angles, is important. In terms of the value in data visualisation, it must provide simplicity, clarity, intuitiveness, insightfulness, gap, pattern and trending capability in a collaboration enabling manner, supporting the requirements and decision objectives of the executive. However, an additional finding also identified the importance of the executive's knowledge of the topic at hand and having some familiarity of the topic. Finally, the presenter of the visualisation must also provide a guiding force to assist the executive in reaching a final decision, but not actually formulate the decision for the executive. RQ2: How does data visualisation impact on an executive's ability to use and digest relevant information, including on his/her decision-making speed and confidence? Based on the findings, to answer RQ2, themes of consumption, speed and confidence can be used. However; the final themes of use and trust overlap the initial 3 theme. Consumption is impacted by the data visualisation's ability to talk to the objective of the decision and the ability of the technology used to map the mental model and thinking processes of the decision-maker. Furthermore, data visualisations must not only identify the best decision, but also help the executive to define actionable steps to meet the goal of the decision. Executives appreciate the knowledge and skill of peers and prefer an open approach to decision-making, provided that each inclusion is to the benefit of the organisation as a whole. Benchmark statistics from similar industries also add to the consumption factor. Speed was only defined in terms of the data visualisation design, including the use of contrasting elements, such as colour, to highlight anomalies and areas of interest with greater speed. Furthermore, tolerance limits can also assist the executive in identifying where thresholds have been surpassed, or where areas of underperformance have occurred, focussing on problem areas within the organisation. Finally, confidence is not only impacted by the data visualisation itself but is also affected by the executive's knowledge of the decision and the factors affecting the decision, the ability of the data visualisation presenter to understand, guide and add value to the decision process, the accuracy and integrity of the data presented, the familiarity of the technology used to present the data visualisation and the ability of the data visualisation to enable explorative and collaborative methods for decision-making. RQ3: What elements should data analysts consider when developing data visualisations? Based on the findings, to answer RQ3, the trust theme identifies qualitative factors, relating to the presenter. The value, consumption and confidence themes all point to the relevance of having an open and collaborative organisational culture that enables the effective use of data visualisation. Collaboration brings individuals together and the power of knowledgeable individuals can enhance the final decision. In terms of the presenter, his/her organisational ranking, handling of complexity and multiple audience requirements, use of data in the data visualisation, ability to answer questions, his/her confidence and maturity, professionalism, delivery of the message when presenting, knowledge of the subject presented, understanding of the executive's objectives and data visualisation methodology, creation of a "WOW" factor and understanding the data journey are all important considerations.
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Pagonis, Antonis. "An efficient visualisation mechanism for communication network monitoring information." Thesis, Loughborough University, 1999. https://dspace.lboro.ac.uk/2134/13691.
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Most, if not all, of the control and monitoring functions of modern communication network systems are implemented as software. Such software systems are of considerable size and complexity in order to cope with the pre-defined requirements. Effective presentation of results and control of network activities are part of the expected software specifications. This thesis begins with an overvIew of the functions of Network Performance Management. Furthermore, it concentrates on Information Visualisation and its major role in the process of designing useful and usable software for communication network systems. Additional work follows on the author's novel idea of Figural Deformity Visualisation and its potential advantages with respect to network performance data pre-analysis. Figural Deformity (FD) can be a novel way of visualising multiple-variations by employing a single object and gradually deforming its original shape in order to represent relevant mapped parameters. Nevertheless, some research issues are considered before attempting to evaluate the effectiveness of the proposed visual mechanism by conducting user trials with qualified subjects. The thesis continues by presenting a prototype FD-Interface which has been used to collect the required experimental data. The relevant statistical analysis presents strong evidence in favour of the proposed type of user-interfaces. Finally, the work is concluded by presenting an initial implementation of the idea which has been evaluated in one of the largest companies of the British telecommunication industry.
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Walker, Arron R. "Automated spatial information retrieval and visualisation of spatial data." Thesis, Queensland University of Technology, 2007. https://eprints.qut.edu.au/17258/1/Arron_Robert_Walker_Thesis.pdf.
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An increasing amount of freely available Geographic Information System (GIS) data
on the Internet has stimulated recent research into Spatial Information Retrieval (SIR).
Typically, SIR looks at the problem of retrieving spatial data on a dataset by dataset
basis. However in practice, GIS datasets are generally not analysed in isolation. More
often than not multiple datasets are required to create a map for a particular analysis
task. To do this using the current SIR techniques, each dataset is retrieved one by one
using traditional retrieval methods and manually added to the map. To automate map
creation the traditional SIR paradigm of matching a query to a single dataset type
must be extended to include discovering relationships between different dataset types.
This thesis presents a Bayesian inference retrieval framework that will incorporate
expert knowledge in order to retrieve all relevant datasets and automatically create a
map given an initial user query. The framework consists of a Bayesian network that
utilises causal relationships between GIS datasets. A series of Bayesian learning
algorithms are presented that automatically discover these causal linkages from
historic expert knowledge about GIS datasets. This new retrieval model improves
support for complex and vague queries through the discovered dataset relationships.
In addition, the framework will learn which datasets are best suited for particular
query input through feedback supplied by the user.
This thesis evaluates the new Bayesian Framework for SIR. This was achieved by
utilising a test set of queries and responses and measuring the performance of the
respective new algorithms against conventional algorithms. This contribution will
increase the performance and efficiency of knowledge extraction from GIS by
allowing users to focus on interpreting data, instead of focusing on finding which data
is relevant to their analysis. In addition, they will allow GIS to reach non-technical
people.
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Walker, Arron R. "Automated spatial information retrieval and visualisation of spatial data." Queensland University of Technology, 2007. http://eprints.qut.edu.au/17258/.
Full textAbstract:
An increasing amount of freely available Geographic Information System (GIS) data
on the Internet has stimulated recent research into Spatial Information Retrieval (SIR).
Typically, SIR looks at the problem of retrieving spatial data on a dataset by dataset
basis. However in practice, GIS datasets are generally not analysed in isolation. More
often than not multiple datasets are required to create a map for a particular analysis
task. To do this using the current SIR techniques, each dataset is retrieved one by one
using traditional retrieval methods and manually added to the map. To automate map
creation the traditional SIR paradigm of matching a query to a single dataset type
must be extended to include discovering relationships between different dataset types.
This thesis presents a Bayesian inference retrieval framework that will incorporate
expert knowledge in order to retrieve all relevant datasets and automatically create a
map given an initial user query. The framework consists of a Bayesian network that
utilises causal relationships between GIS datasets. A series of Bayesian learning
algorithms are presented that automatically discover these causal linkages from
historic expert knowledge about GIS datasets. This new retrieval model improves
support for complex and vague queries through the discovered dataset relationships.
In addition, the framework will learn which datasets are best suited for particular
query input through feedback supplied by the user.
This thesis evaluates the new Bayesian Framework for SIR. This was achieved by
utilising a test set of queries and responses and measuring the performance of the
respective new algorithms against conventional algorithms. This contribution will
increase the performance and efficiency of knowledge extraction from GIS by
allowing users to focus on interpreting data, instead of focusing on finding which data
is relevant to their analysis. In addition, they will allow GIS to reach non-technical
people.
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Nguyen, Quang Vinh. "Space-efficient visualisation of large hierarchies /." Electronic version, 2005. http://adt.lib.uts.edu.au/public/adt-NTSM20051123.174122/index.html.
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Humphries, Christopher. "User-centred security event visualisation." Thesis, Rennes 1, 2015. http://www.theses.fr/2015REN1S086/document.
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Il est aujourd'hui de plus en plus difficile de gérer les énormes quantités de données générées dans le cadre de la sécurité des systèmes. Les outils de visualisation sont une piste pour faire face à ce défi. Ils représentent de manière synthétique et souvent esthétique de grandes quantités de données et d'événements de sécurité pour en faciliter la compréhension et la manipulation. Dans ce document, nous présentons tout d'abord une classification des outils de visualisation pour la sécurité en fonction de leurs objectifs respectifs. Ceux-ci peuvent être de trois ordres : monitoring (c'est à dire suivi en temps réel des événements pour identifier au plus tôt les attaques alors qu'elles se déroulent), exploration (parcours et manipulation a posteriori d'une quantité importante de données pour découvrir les événements importants) ou reporting (représentation a posteriori d'informations déjà connues de manière claire et synthétique pour en faciliter la communication et la transmission). Ensuite, nous présentons ELVis, un outil capable de représenter de manière cohérente des évènements de sécurité issus de sources variées. ELVis propose automatiquement des représentations appropriées en fonction du type des données (temps, adresse IP, port, volume de données, etc.). De plus, ELVis peut être étendu pour accepter de nouvelles sources de données. Enfin, nous présentons CORGI, une extension d'ELVIs permettant de manipuler simultanément plusieurs sources de données pour les corréler. A l'aide de CORGI, il est possible de filtrer les évènements de sécurité provenant d'une source de données en fonction de critères résultant de l'analyse des évènements de sécurité d'une autre source de données, facilitant ainsi le suivi des évènements sur le système d'information en cours d'analyseManaging the vast quantities of data generated in the context of information system security becomes more difficult every day. Visualisation tools are a solution to help face this challenge. They represent large quantities of data in a synthetic and often aesthetic way to help understand and manipulate them. In this document, we first present a classification of security visualisation tools according to each of their objectives. These can be one of three: monitoring (following events in real time to identify attacks as early as possible), analysis (the exploration and manipulation a posteriori of a an important quantity of data to discover important events) or reporting (representation a posteriori of known information in a clear and synthetic fashion to help communication and transmission). We then present ELVis, a tool capable of representing security events from various sources coherently. ELVis automatically proposes appropriate representations in function of the type of information (time, IP address, port, data volume, etc.). In addition, ELVis can be extended to accept new sources of data. Lastly, we present CORGI, an successor to ELVIS which allows the simultaneous manipulation of multiple sources of data to correlate them. With the help of CORGI, it is possible to filter security events from a datasource by multiple criteria, which facilitates following events on the currently analysed information systems
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Reichenbacher, Tumasch. "Mobile cartography : adaptive visualisation of geographic information on mobile devices /." München : Verlag Dr. Hut, 2004. http://purl.fcla.edu/UF/lib/MobileCartography.pdf.
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Dawkes, Huw Lyndon Richard. "The visualisation construction environment : a visual tool for information retrieval." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.248372.
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Hong, Theodore Wayne. "Grammatical inference for information extraction and visualisation on the Web." Thesis, Imperial College London, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.408078.
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Wong, Bryan. "Using access information in the dynamic visualisation of web sites." Master's thesis, University of Cape Town, 2004. http://hdl.handle.net/11427/6365.
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Includes bibliographical references.Log file analysis provides a cost-effective means to detennine web site usage. However, current methods of displaying log analysis results tend to be limited in that they either contain no reference to a web site's structure, or else they portray this structure as a standard graph or tree. This dissertation presents a visual representation of web server log information, which addresses these limitations by incorporating log file data into a visualisation of a web site's layout. The devised visualisation utilizes properties unique to web sites in order to create a compromise between the clutter-prone network graph and the infonnation incomplete tree representations that have traditionally been used to depict web sites. As such, the visualisation emphasises typical web site features such as the home page, sub-sites and navigation bars. This approach pennitted the introduction of the concept of implying the presence of links without explicitly rendering them. This notion has many implications, not least of which is the reduction of cluttering. The visualisation combined several other techniques to address the issues of structure and data representation, data exploration, scalability and context maintenance. Assessment of the visualisation consisted of a heuristic evaluation by an expert from the web site usage industry, a test to detelmine the intuitiveness of the representation, and a series of user experiments. Results of the assessment were generally promising although a few areas of concern, such as the difficulty experienced by users in navigating the visualisation with a trackball, were identified. These issues should not prove to be too difficult to overcome however. The visualisation could thus be said to have successfully met the aim of developing a representation of web site usage infonnation that incorporates site structure and treats web sites as unique entities, thereby taking advantage of their particular characteristics. It is hoped such a visualisation will be of benefit to web site designers and administrators in analysing and ultimately improving their web sites.
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Khan, Wajid. "Information visualisation and data analysis using web mash-up systems." Thesis, University of Bedfordshire, 2014. http://hdl.handle.net/10547/584232.
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The arrival of E-commerce systems have contributed greatly to the economy and have played a vital role in collecting a huge amount of transactional data. It is becoming difficult day by day to analyse business and consumer behaviour with the production of such a colossal volume of data. Enterprise 2.0 has the ability to store and create an enormous amount of transactional data; the purpose for which data was collected could quite easily be disassociated as the essential information goes unnoticed in large and complex data sets. The information overflow is a major contributor to the dilemma. In the current environment, where hardware systems have the ability to store such large volumes of data and the software systems have the capability of substantial data production, data exploration problems are on the rise. The problem is not with the production or storage of data but with the effectiveness of the systems and techniques where essential information could be retrieved from complex data sets in a comprehensive and logical approach as the data questions are asked. Using the existing information retrieval systems and visualisation tools, the more specific questions are asked, the more definitive and unambiguous are the visualised results that could be attained, but when it comes to complex and large data sets there are no elementary or simple questions. Therefore a profound information visualisation model and system is required to analyse complex data sets through data analysis and information visualisation, to make it possible for the decision makers to identify the expected and discover the unexpected. In order to address complex data problems, a comprehensive and robust visualisation model and system is introduced. The visualisation model consists of four major layers, (i) acquisition and data analysis, (ii) data representation, (iii) user and computer interaction and (iv) results repositories. There are major contributions in all four layers but particularly in data acquisition and data representation. Multiple attribute and dimensional data visualisation techniques are identified in Enterprise 2.0 and Web 2.0 environment. Transactional tagging and linked data are unearthed which is a novel contribution in information visualisation. The visualisation model and system is first realised as a tangible software system, which is then validated through different and large types of data sets in three experiments. The first experiment is based on the large Royal Mail postcode data set. The second experiment is based on a large transactional data set in an enterprise environment while the same data set is processed in a non-enterprise environment. The system interaction facilitated through new mashup techniques enables users to interact more fluently with data and the representation layer. The results are exported into various reusable formats and retrieved for further comparison and analysis purposes. The information visualisation model introduced in this research is a compact process for any size and type of data set which is a major contribution in information visualisation and data analysis. Advanced data representation techniques are employed using various web mashup technologies. New visualisation techniques have emerged from the research such as transactional tagging visualisation and linked data visualisation. The information visualisation model and system is extremely useful in addressing complex data problems with strategies that are easy to interact with and integrate.
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Yang, Ting Surveying & Spatial Information Systems Faculty of Engineering UNSW. "VISUALISATION OF SPATIAL DATA QUALITY FOR DISTRIBUTED GIS." Awarded by:University of New South Wales. School of Surveying and Spatial Information Systems, 2007. http://handle.unsw.edu.au/1959.4/27434.
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Nowadays a substantial trend occurs that vast amounts of geospatial data are supplied, managed, and processed over distributed GIS. It is important to provide users with the capability of visualising spatial data quality information in a meaningful way for distributed GIS, since it will significantly enhance user understanding of data quality and aid them in assessing the data fitness for their application requirements. This thesis investigates the issue of visualisation of spatial data quality for distributed GIS. Based on a review of core concepts associated with spatial data quality, metadata standards, and major research areas related to data quality, the limitations of current data quality presentation are highlighted. To overcome some of these limitations, the research topic of this thesis is proposed, namely, adding visualisation functionality to the presentation of spatial data quality to convey uncertainty information to users in an interactive and graphical manner. Based on a review of the theories on visualisation and the frameworks developed for visualisation of spatial data quality in literature, an extended framework is developed incorporating several aspects of visualisation such as contexts, contents, and techniques, where the hierarchical nature of data quality and error models are two main parts of the visualisation contents. A brief framework of visualisation of spatial data quality for distributed GIS is proposed, where data storage with quality information and web services for visualising data quality are two key components. To satisfy a series of requirements for representing spatial data quality, a new object-oriented data model is proposed based on the review of developments of data models. This data model can specifically deal with the hierarchical nature of data quality and error propagation, recognising data quality as a dynamic process. Further, The implementation of the data model using GML and SVG is discussed. The details of a web service for visualising spatial data quality are addressed. After proposing the requirements on building a system for spatial data quality visualisation for distributed GIS, the design of a prototype visualisation system for distributed GIS is addressed in detail. The prototype visualisation system for spatial data quality is developed and implemented with an example data set, where SVG and JavaScript are used to illustrate how various graphic methods such as animation, data quality filters, and colour gradients can be used for distributed GIS. In addition to the visualisation of positional accuracy at the feature level, in this pilot system, the hierarchical structure of data quality information is also presented. Limitations of the research in this thesis are also addressed. However, in general, this research is of great significance for the contributions made to a relatively new research area in terms of theories, procedures, and software developments.
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Edmunds, Matthew. "Stream surface seeding for flow visualisation." Thesis, Swansea University, 2014. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.678585.
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Shovman, Mark. "Measuring comprehension of abstract data visualisations." Thesis, Abertay University, 2011. https://rke.abertay.ac.uk/en/studentTheses/4cfbdab1-0f91-4886-8b02-a4a8da48aa72.
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Common visualisation techniques such as bar-charts and scatter-plots are not sufficient for visual analysis of large sets of complex multidimensional data. Technological advancements have led to a proliferation of novel visualisation tools and techniques that attempt to meet this need. A crucial requirement for efficient visualisation tool design is the development of objective criteria for visualisation quality, informed by research in human perception and cognition. This thesis presents a multidisciplinary approach to address this requirement, underpinning the design and implementation of visualisation software with the theory and methodology of cognitive science. An opening survey of visualisation practices in the research environment identifies three primary uses of visualisations: the detection of outliers, the detection of clusters and the detection of trends. This finding, in turn, leads to a formulation of a cognitive account of the visualisation comprehension processes, founded upon established theories of visual perception and reading comprehension. Finally, a psychophysical methodology for objectively assessing visualisation efficiency is developed and used to test the efficiency of a specific visualisation technique, namely an interactive three-dimensional scatterplot, in a series of four experiments. The outcomes of the empirical study are three-fold. On a concrete applicable level, three-dimensional scatterplots are found to be efficient in trend detection but not in outlier detection. On a methodological level, ‘pop-out’ methodology is shown to be suitable for assessing visualisation efficiency. On a theoretical level, the cognitive account of visualisation comprehension processes is enhanced by empirical findings, e.g. the significance of the learning curve parameters. All these provide a contribution to a ‘science of visualisation’ as a coherent scientific paradigm, both benefiting fundamental science and meeting an applied need.
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Hughes, Robert. "The development and use of tactile mice in visualisation." Thesis, University of East Anglia, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338043.
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Anderson, Jonathan. "Visualisation of data from IoT systems : A case study of a prototyping tool for data visualisations." Thesis, Linköpings universitet, Programvara och system, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-138723.
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The client in this study, Attentec, has seen an increase in the demand for services connected to Internet of things systems. This study is therefore examining if there is a tool that can be a used to build fast prototype visualisations of data from IoT systems to use as a tool in their daily work. The study started with an initial phase with two parts. The first part was to get better knowledge of Attentec and derive requirements for the tool and the second part was a comparison of prototyping tools for aiding in development of data visualisations. Apache Zeppelin was chosen as the most versatile and suitable tool matching the criteria defined together with Attentec. Following the initial phase a pre-study containing interviews to collect empirical data on how visualisations and IoT projects had been implemented previously at Attentec were performed. This lead to the conclusion that geospatial data and NoSQL databases were common for IoT projects. A technical investigation was conducted on Apache Zeppelin to answer if there were any limits in using the tool for characteristics common in IoT system. This investigation lead to the conclusion that there was no support for plotting data on a map. The first implementation phase implemented support for geospatial data by adding a visualisation plug-in that plotted data on a map. The implementation phase was followed by an evaluation phase in which 5 participants performed tasks with Apache Zeppelin to evaluate the perceived usability of the tool. The evaluation was performed using a System Usability Scale and a Summed Usability Metric as well as interviews with the participants to find where improvements could be made. From the evaluation three main problems were discovered, the import and mapping of data, more feature on the map visualisation plug-in and the creation of database queries. The first two were chosen for the second iteration where a script for generating the code to import data was developed as well as improvements to the geospatial visualisation plug-in. A second evaluation was performed after the changes were made using similar tasks as in the first to see if the usability was improved between the two evaluations. The results of the Summed Usability Metric improved on all tasks and the System Usability Scale showed no significant change. In the interviews with the participants they all responded that the perceived usability had improved between the two evaluations suggesting some improvement.
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Lutmann, Patrice. "Transfert et visualisation d'images numériques." Bordeaux 1, 1996. http://www.theses.fr/1996BOR10715.
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L'image est aujourd'hui un support privilegie de la communication. De plus en plus d'applications informatiques font appel aux images ou sont dediees a la manipulation d'images. Pour ces applications, les principaux besoins sont le stockage, le transfert et la visualisation. A partir de l'analyse de ces besoins, specifiquement le transfert et la visualisation, je definis les principales caracteristiques du transfert et de la visualisation des images. Les difficultes et contraintes essentielles que l'on rencontre alors sont l'heterogeneite des materiels et des logiciels utilises, les debits et les delais. Je propose ensuite divers modeles d'implementation et en particulier une integration des services de transfert et de visualisation dans l'environnement graphique x, sous systeme d'exploitation unix avec tcp/ip. Les services de transfert et de visualisation d'images, designes par stvi pour les services et sirix pour le prototype implemente, vont etre integres au systeme graphique x pour la partie visualisation, et a tcp/ip pour le transport. Ces deux services appartiennent a la couche application et presentation du modele de reference osi. Ils sont en etroite relation avec le service d'image de la bddri et le service de visualisation du systeme x. En fonction des besoins de l'application, ces services permettent de determiner les parametres de profil optimum pour minimiser le volume des donnees a transferer. Ils presentent une interface generique de visualisation, exploitent les ressources de chacun des acteurs en fonction des capacites relatives de ceux-ci. Enfin, ils gerent les contraintes temporelles necessaires a la visualisation acceptable de sequences animees. Je presente les diverses associations permettant le controle du transfert, la commande du transfert et la visualisation. J'analyse les flux de donnees et la localisation des traitements ainsi que leur influence sur la realisation de ces associations et les contraintes d'implementation. Je decris aussi le systeme x et l'impact de ce systeme sur sirix. J'etudie les diverses possibilites d'implementation de ces services et leur integration au systeme x, et je compare les divers modeles realises tant du point de vue des fonctionnalites que des performances
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Beets, Simone Yvonne. "Enhanced visualisation techniques to support access to personal information across multiple devices." Thesis, Nelson Mandela Metropolitan University, 2014. http://hdl.handle.net/10948/d1021136.
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The increasing number of devices owned by a single user makes it increasingly difficult to access, organise and visualise personal information (PI), i.e. documents and media, across these devices. The primary method that is currently used to organise and visualise PI is the hierarchical folder structure, which is a familiar and widely used means to manage PI. However, this hierarchy does not effectively support personal information management (PIM) across multiple devices. Current solutions, such as the Personal Information Dashboard and Stuff I’ve Seen, do not support PIM across multiple devices. Alternative PIM tools, such as Dropbox and TeamViewer, attempt to provide a means of accessing PI across multiple devices, but these solutions also suffer from several limitations. The aim of this research was to investigate to what extent enhanced information visualisation (IV) techniques could be used to support accessing PI across multiple devices. An interview study was conducted to identify how PI is currently managed across multiple devices. This interview study further motivated the need for a tool to support visualising PI across multiple devices and identified requirements for such an IV tool. Several suitable IV techniques were selected and enhanced to support PIM across multiple devices. These techniques comprised an Overview using a nested circles layout, a Tag Cloud and a Partition Layout, which used a novel set-based technique. A prototype, called MyPSI, was designed and implemented incorporating these enhanced IV techniques. The requirements and design of the MyPSI prototype were validated using a conceptual walkthrough. The design of the MyPSI prototype was initially implemented for a desktop or laptop device with mouse-based interaction. A sample personal space of information (PSI) was used to evaluate the prototype in a controlled user study. The user study was used to identify any usability problems with the MyPSI prototype. The results were highly positive and the participants agreed that such a tool could be useful in future. No major problems were identified with the prototype. The MyPSI prototype was then implemented on a mobile device, specifically an Android tablet device, using a similar design, but supporting touch-based interaction. Users were allowed to upload their own PSI using Dropbox, which was visualised by the MyPSI prototype. A field study was conducted following the Multi-dimensional In-depth Long-term Case Studies approach specifically designed for IV evaluation. The field study was conducted over a two-week period, evaluating both the desktop and mobile versions of the MyPSI prototype. Both versions received positive results, but the desktop version was slightly preferred over the mobile version, mainly due to familiarity and problems experienced with the mobile implementation. Design recommendations were derived to inform future designs of IV tools to support accessing PI across multiple devices. This research has shown that IV techniques can be enhanced to effectively support accessing PI across multiple devices. Future work will involve customising the MyPSI prototype for mobile phones and supporting additional platforms.
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Lööf, Robert, and Kenny Pussinen. "Visualisation of requirements and their relations in embedded systems." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-234680.
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In the automotive industry, the complexity of electronic components is increasing rapidly. Modern functional safety standards rely on strict requirements engineering techniques in order to ensure the safety of a given system. Current requirements management tools on the market either suffer in their ability to handle such constraints or are not susceptible to industrial applicability. To solve this problem, two main questions have been focused in this master thesis. How to visualise the requirements and their relationship to architecture and how to provide a solution that reflects on how work is conducted today at Scania. A prototype with focus on visualisation of requirements and their relationship to architectures has been developed. To provide an intuitive solution that reflects on how work is conducted, an evaluation of the prototype has been conducted. The prototype was evaluated by engineers at Scania that works with requirements in their daily work. The conclusion of the evaluation suggests that visualisation of requirements and their relation to architecture could be beneficial for requirement engineering. To keep the solution intuitive it is important to focus on filtering methods for the visualisation in future development.
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Erdogan, Bilge. "The Extent Of Information Visualisation In Turkish Construction Industry: A Qfd Approach." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/3/1088319/index.pdf.
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Distances between dispersed locations may be largely overcome through efficient use of modern data transfer and communication systems. Unfortunately the conclusions drawn from research and surveys carried out in the industry show that companies generally fail in using information technologies properly and that there is a significant communication gap - therefore coordination and cooperation gap - between the site offices and the main office due to data transfer lags and lack of visualised information. How information is presented has a great bearing on quality of information and visualisation is one of the most important tools used to improve data presentation.
The purpose of this thesis is to evaluate the extent of visualisation as a communication tool in construction industry and to determine potential benefits to be gained through implementation of visualisation. Therefore, available visualisation resources are investigated among Turkish AEC companies. The current status of visualisation use for communication in construction firms is mapped and described. Information flow contents and types are analysed to determine which information in the construction process can be visually represented. Finally, a QFD approach is used for a combined evaluation of the research findings together with the customer needs and requirements expected from visualised information.
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Twigg, Gianni Gurshwin. "Using mobile information visualisation to support the analysis of telecommunication service ultilisation." Thesis, Nelson Mandela Metropolitan University, 2012. http://hdl.handle.net/10948/d1020831.
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Telecommunication service utilisation (TSU) focuses on how customers make use of telecommunication services and can provide valuable information for decision making for improved customer service delivery. When a telecommunication service provider consults with customers, large amounts of static documentation on TSU data are compiled. Compiling this documentation for in-field investigation is manually intensive and the documentation does not effectively support decision making. Existing systems for visualising TSU data do not efficiently support in-field investigation of TSU and lack dynamic interaction. This highlights the need to investigate a solution to better support in-field investigation of TSU. This research followed a Design Science Research methodology to develop and evaluate a solution to solve the problem identified. The use of tablet devices for in-field investigation of TSU was identified as a suitable solution. Mobile information visualisation (MIV) techniques were investigated to determine appropriate display and interaction techniques for the visualisation of TSU data on a tablet device. An existing visualisation framework for TSU was identified and extended to incorporate touch-based interactions. Three service usage views were identified for visualising TSU, namely a Trend, Network and Detail Usage View. A Dashboard View was also identified to provide a quick reference view of the different views. A prototype called MobiTel was developed on a tablet device. MobiTel incorporated the identified information visualisation techniques. MobiTel was evaluated using an expert review and a user study to determine its usability and usefulness. The results indicated that MobiTel was perceived as being useful for in-field investigation and that the participants perceived the prototype to be easy to use and learn. The user study also indicated that the participants were satisfied with MobiTel. This research has determined that MIV techniques can be used for in-field investigation of TSU. Design recommendations were devised for designing an interactive mobile prototype for visualising service usage information. Future work will involve using map-based visualisation for visualising TSU data on different customer sites.
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Mao, Bo. "Visualisation and Generalisation of 3D City Models." Licentiate thesis, KTH, Geoinformatics, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-24345.
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3D city models have been widely used in different applications such as urban planning, traffic control, disaster management etc. Effective visualisation of 3D city models in various scales is one of the pivotal techniques to implement these applications. In this thesis, a framework is proposed to visualise the 3D city models both online and offline using City Geography Makeup Language (CityGML) and Extensible 3D (X3D) to represent and present the models. Then, generalisation methods are studied and tailored to create 3D city scenes in multi-scale dynamically. Finally, the quality of generalised 3D city models is evaluated by measuring the visual similarity from the original models.
In the proposed visualisation framework, 3D city models are stored in CityGML format which supports both geometric and semantic information. These CityGML files are parsed to create 3D scenes and be visualised with existing 3D standard. Because the input and output in the framework are all standardised, it is possible to integrate city models from different sources and visualise them through the different viewers.
Considering the complexity of the city objects, generalisation methods are studied to simplify the city models and increase the visualisation efficiency. In this thesis, the aggregation and typification methods are improved to simplify the 3D city models.
Multiple representation data structures are required to store the generalisation information for dynamic visualisation. One of these is the CityTree, a novel structure to represent building group, which is tested for building aggregation. Meanwhile, Minimum Spanning Tree (MST) is employed to detect the linear building group structures in the city models and they are typified with different strategies. According to the experiments results, by using the CityTree, the generalised 3D city model creation time is reduced by more than 50%.
Different generalisation strategies lead to different outcomes. It is important to evaluate the quality of the generalised models. In this thesis a new evaluation method is proposed: visual features of the 3D city models are represented by Attributed Relation Graph (ARG) and their similarity distances are calculated with Nested Earth Mover’s Distance (NEMD) algorithm. The calculation results and user survey show that the ARG and NEMD methods can reflect the visual similarity between generalised city models and the original ones.
QC 20100923
ViSuCity Project
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Van, Tonder Bradley Paul. "Adaptive user interfaces for mobile map-based visualisation." Thesis, Nelson Mandela Metropolitan University, 2008. http://hdl.handle.net/10948/866.
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Mobile devices today frequently serve as platforms for the visualisation of map-based data. Despite the obvious advantages, mobile map-based visualisation (MMV) systems are often difficult to design and use. Limited screen space, resource constraints and awkward interaction mechanisms are among the many problems with which designers and users have to contend. Adaptive user interfaces (AUIs), which adapt to the individual user, represent a possible means of addressing the problems of MMV. Adaptive MMV systems are, however, generally designed in an ad-hoc fashion, making the benefits achieved difficult to replicate. In addition, existing models for adaptive MMV systems are either conceptual in nature or only address a subset of the possible input variables and adaptation effects. The primary objective of this research was to develop and evaluate an adaptive MMV system using a model-based approach. The Proteus Model was proposed to support the design of MMV systems which adapt in terms of information, visualisation and user interface in response to the user‟s behaviour, tasks and context. The Proteus Model describes the architectural, interface, data and algorithm design of an adaptive MMV system. A prototype adaptive MMV system, called MediaMaps, was designed and implemented based on the Proteus Model. MediaMaps allows users to capture, location-tag, organise and visualise multimedia on their mobile phones. Information adaptation is performed through the use of an algorithm to assist users in sorting media items into collections based on time and location. Visualisation adaptation is performed by adapting various parameters of the map-based visualisations according to user preferences. Interface adaptation is performed through the use of adaptive lists. An international field study of MediaMaps was conducted in which participants were required to use MediaMaps on their personal mobile phones for a period of three weeks. The results of the field study showed that high levels of accuracy were achieved by both the information and interface adaptations. High levels of user satisfaction were reported, with participants rating all three forms of adaptation as highly useful. The successful implementation of MediaMaps provides practical evidence that the model-based design of adaptive MMV systems is feasible. The positive results of the field study clearly show that the adaptations implemented were highly accurate and that participants found these adaptations to be useful, usable and easy to understand. This research thus provides empirical evidence that the use of AUIs can provide significant benefits for the visualisation of map-based information on mobile devices.
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Ncube, Sinini Paul. "Web-based visualisation techniques for reporting zoonotic outbreaks." Thesis, Rhodes University, 2012. http://hdl.handle.net/10962/d1006672.
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Zoonotic diseases are diseases that are transmitted from animals or vectors to humans and vice versa. The public together with veterinarian authorities should readily access disease information as it is vital in rapidly controlling resultant zoonotic outbreak threats through improved awareness. Currently, the reporting of disease information in South Africa is predominantly limited to traditional methods of Information Communication Technologies (ICTs) like faxes, monthly newspaper reports, radios, phones and televisions. Although these are effective ways of communication, their disadvantage is that the information that most of them offer can only be accessed at specific times during a crisis. New technologies like the internet have become the most efficient way of distributing information in near-real-time. Many developed countries have used web-based reporting platforms to deliver timely information through temporal and geographic visualisation techniques. There has been an attempt in the use of web-based reporting in South Africa but most of these sites are characterised by heavy text which makes them time consuming to use or maintain. As a result most sites have not been updated or have ceased to exist because of the work load involved. The success of web reporting mechanisms in developed countries offers evidence that web-based reporting systems when appropriately visualised can improve the easy understanding of information and efficiency in the analysis of that data. In this thesis, a web-based reporting prototype was proposed after gathering information from different sources: literature related to disease reporting and the visualisation of infectious diseases; the exploration of the currently deployed web systems; and the investigation of user requirements from relevant parties. The proposed prototype system was then developed using Adobe Flash tools, Java and MySQL languages. A focus group then reviewed the developed system to ascertain that the relevant requirements had been incorporated and to obtain additional ideas about the system. This led to the proposal of a new prototype system that can be used by the authorities concerned as a plan to develop a fully functional disease reporting system for South Africa.
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Al-Tobi, Amjad. "Applying information visualisation to externalising student data in web-based distance learning system /." Leeds : University of Leeds, School of Computer Studies, 2003. http://www.leeds.ac.uk/cgi-bin/library/compst.pl?CAT=BSC&FILE=200304/al-tobi.pdf.
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Pasi, Niharika. "Analysis of online news media through visualisation and text clustering." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-361562.
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Online news has grown in frequency and popularity as a convenient source of information for several years. A result of this drastic surge is the increased competition for viewer-ship and prolonged relevance of online news websites. Higher demands by internet audiences have led to the use of sensationalism such as ‘clickbait’ articles or ‘fake news’ to attract more viewers. The subsequent shift in the journalistic approach in new media opened new opportunities to study the behaviour and intent behind the news content. As news publications cater their news to a specific target audience, conclusions about said news outlets and their readers can be deduced from the content they wish to broadcast. In order to understand the nature behind the publication’s choice of producing content, this thesis uses automated text categorisation as a means to analyse the words and phrases used by most news outlets. The thesis acts as a case study for approximately 143,000 online news articles from 15 different publications focused on the United States between the years 2016 and 2017. The focus of this thesis is to create a framework that observes how news articles group themselves based on the most relevant terms in their corpora. Similarly, other forms of analyses were performed to find similar insights that may give an idea about the news structure over a certain period of time. For this thesis, a preliminary quantitative analysis was also conducted before data processing, followed by applying K-means clustering to these articles post-cleansing. The overall categorisation approach and visual analysis provided sufficient data to re-use this framework with further adjustments. The cluster groups deduced that the most common news categories or genres for the selected publications were either politics - with special focus on the U.S. presidential elections - or crime-related news within the U.S and around the world. The visual formations of these clusters heavily implied that the above two categories were distributed even within groups containing other genres like finance or infotainment. Moreover, the added factor of churning out multiple articles and stories per day suggest that mainstream online news websites continue to use broadcast journalism as their main form of communication with their audiences
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Johansson, Veronica. "A time and place for everything? : social visualisation tools and critical literacies." Doctoral thesis, Högskolan i Borås, Institutionen Biblioteks- och informationsvetenskap / Bibliotekshögskolan, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3638.
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The aim of this study is to analyse mutual enactments of critical literacies and social visualisation tools as information resources. The central concept of critical literacies as used here extends and redefines prior critical literacy definitions to denote the pluralistic situated enactments of meaning through which study participants identify, question and transform bias, restrictions and power related aspects of access, control and use in relation to the tools. The study is based on two critical ethnography inspired case studies involving observations, interviews, and contextual inquiry and located in professional settings. Case 1 is centred on how a geographic information system (MapInfo) is used for analysing and preventing traffic accidents. Case 2 is centred on how a dynamic time series animating chart (Trendalyzer) is used for analysing and spreading knowledge about the world’s development. The results demonstrate co-existing critical literacies described in terms of three main directionalities as reactive, proactive, and adaptive, of which the adaptive varieties seem thus far largely overlooked. On the basis of these findings, it is suggested that dominant cognitivist and positivist narratives of visualisations should be replaced with more nuanced alternatives that emphasise the potentials of visualisation tools as evocative and non-blackboxed information resources; i.e., as encouraging new questions and allowing alternative analyses, rather than constructing them as enunciative tools providing true answers. As theoretical contributions, the dissertation argues for a conceptualisation of visualisation tools as representational artefacts and a species of documents actuating information organisation related problems of representation. It also presents a new theoretical construct for the analysis and understanding of the mutual shaping of critical literacies and information resources that includes both cultural practices and actor interests through a combination of sociocultural theories on tools and sociotechnical theories on inscriptions.Academic dissertation for the Degree of Doctor of Philosophy in Library and
Information Science at the University of Borås to be publicly defended on Friday
14 December 2012 at 13.00 in lecture room C203, the University of Borås,
Allégatan 1, Borås.
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Goffin, Pascal. "An Exploration of Word-Scale Visualizations for Text Documents." Thesis, Université Paris-Saclay (ComUE), 2016. http://www.theses.fr/2016SACLS256/document.
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Ma dissertation explore comment l'intégration de petites visualisations contextuelles basées sur des données peut complémenter des documents écrits. Plus spécifiquement, j'identifie et je définis des aspects importants et des directions de recherches pertinentes pour l'intégration de petites visualisations contextuelles basées sur des données textuelles. Cette intégration devra finalement devenir aussi fluide qu'écrire et aussi utile que lire un texte. Je définis les visualisations-mots (Word-Scale Visualizations) comme étant de petites visualisations contextuelles basées sur des données intégrées au texte de documents. Ces visualisations peuvent utiliser de multiples codages visuels incluant les cartes géographiques, les heatmaps, les graphes circulaires, et des visualisations plus complexes. Les visualisations-mots offrent une grande variété de dimensions toujours proches de l’échelle d’un mot, parfois plus grandes, mais toujours plus petites qu’une phrase ou un paragraphe. Les visualisations-mots peuvent venir en aide et être utilisées dans plusieurs formes de discours écrits tels les manuels, les notes, les billets de blogs, les rapports, les histoires, ou même les poèmes. En tant que complément visuel de textes, les visualisations-mots peuvent être utilisées pour accentuer certains éléments d'un document (comme un mot ou une phrase), ou pour apporter de l'information additionnelle. Par exemple, un petit diagramme de l'évolution du cours de l’action d’une entreprise peut être intégré à côté du nom de celle-ci pour apporter de l'information additionnelle sur la tendance passée du cours de l'action. Dans un autre exemple, des statistiques de jeux peuvent être incluses à côté du nom d'équipe de football ou de joueur dans les articles concernant le championnat d'Europe de football. Ces visualisations-mots peuvent notamment aider le lecteur à faire des comparaisons entre le nombre de passes des équipes et des joueurs. Le bénéfice majeur des visualisations-mots réside dans le fait que le lecteur peut rester concentré sur le texte, vu que les visualisations sont dans le texte et non à côté.Dans ma thèse j’apporte les contributions suivantes : j'explore pourquoi les visualisation-mots peuvent être utiles et comment promouvoir leur création. J’étudie différentes options de placement pour les visualisations-mots et je quantifie leurs effets sur la disposition du texte et sa mise en forme. Comme les visualisations-mots ont aussi des implications sur le comportement de lecture du lecteur, je propose une première étude qui étudie les différents placements de visualisations-mots sur le comportement de lecture. J'examine aussi comment combiner les visualisations-mots et l'interaction pour soutenir une lecture plus active en proposant des méthodes de collection, d’arrangement et de comparaison de visualisations-mots. Finalement, je propose des considérations de design pour la conception et la création de visualisations-mots et je conclus avec des exemples d'application.En résumé cette dissertation contribue à la compréhension de petites visualisations contextuelles basées sur des données intégrées dans le texte et à leur utilité pour la visualisation d'informationsThis dissertation explores how embedding small data-driven contextual visualizations can complement text documents. More specifically, I identify and define important aspects and relevant research directions for the integration of small data-driven contextual visualizations into text. This integration should eventually become as fluid as writing and as usable as reading a text. I define word-scale visualisations as small data-driven contextual visualizations embedded in text documents. These visualizations can use various visual encodings including geographical maps, heat maps, pie charts, and more complex visualizations. They can appear at a range of word scales, including sizes larger than a letter, but smaller than a sentence or paragraph. Word-scale visualisations can help support and be used in many forms of written discourse such as text books, notes, blog posts, reports, stories, or poems. As graphical supplements to text, word-scale visualisations can be used to emphasize certain elements of a document (e.g. a word or a sentence), or to provide additional information. For example, a small stock chart can be embedded next to the name of a company to provide additional information about the past trends of its stocks. In another example, game statistics can be embedded next to the names of soccer teams or players in daily reports from the UEFA European Championship. These word-scale visualisations can then for example allow readers to make comparison between number of passes of teams and players. The main benefit of word-scale visualisations is that the reader can remain focused on the text as the visualization are within the text rather than alongside it.In the thesis, I make the following main contributions: I explore why word-scale visualisations can be useful and how to support their creation. I investigate placement options to embed word-scale visualisations and quantify their effects on the layout and flow of the text. As word-scale visualisations also have implications on the reader's reading behavior I propose a first study that investigates different word-scale visualisation positions on the reading behavior. I also explore how word-scale visualisations can be combined with interaction to support a more active reading by proposing interaction methods to collect, arrange and compare word-scale visualisations. Finally, I propose design considerations for the authoring of word-scale visualisations and conclude with application examples.In summary, this dissertation contributes to the understanding of small data-driven contextual visualizations embedded into text and their value for Information Visualization
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Molin, Gustaf. "Graphically visualising large hierarchies of information." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik och datavetenskap, 2001. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-1514.
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The age of information means too much information. Users want relief from information overload. They need the ability to navigate and explore large data sets without getting buried. The challenge for application developers is to provide both an overview of huge data sets and a useful interface for drilling down to access details of interest. The use of new techniques for graphical visualisation of large hierarchies of information provides a solution to these problems. These new techniques apply knowledge gained from cognitive psychology and put them into practice. All to improve usability and lucidity for the user. In this thesis a case study has been conducted in order to provide proof to the above statement. An application was developed using the Visual tree studio from inxight. The application explored the Hyperbolic tree. The case study was connected to the theoretical part of the thesis and the conclusion is that using the hyperbolic tree when visualising large hierarchies of information will improve lucidity and usability.
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Xu, Yinglai. "Fluid Interactive Information Visualization: A Visualization Tool for Book Recommendation." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-216941.
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The accuracy of recommender systems has been largely discussed and the user experience of the recommended systems is now becoming a new focus. Combining recommendations with information visualization (InfoVis) can be a way to improve the acceptance of the system. This thesis investigates how InfoVis can support the recommended systems, aiming at improving the enjoyment and engagement of the user experience. Three prototypes are designed to evaluate the impact of using InfoVis and fluid interactive InfoVis on user engagement and enjoyment with exploratory of recommended books. The methods of product reaction card and Likert questionnaire are used during the evaluation. Results suggest that InfoVis is a viable way to improve the engagement and enjoyment of the book recommended system and it should be further researched.Precisionen för rekommenderingssystem har diskuterats i hög grad och användarupplevelsen för rekommenderingssystem har nu blivit ett nytt fokus. Att kombinera rekommendationer med informationsvisualisering (InfoVis) är ett möjligt vis att förbättra systemets acceptans. Denna rapport undersöker hur informationsvisualisering kan kompletterarekommenderingssystemen, med fokus på att förbättra användarglädjen och engagemanget i användarupplevelsen. Tre prototyper designas i syfte att evaluera påverkan som InfoVis, och fluid interactive InfoVis, har på engagemang och användarglädje i och med exploration av rekommenderade böcker. Produktreaktionskort och Likertfrågeformulär användes under evalueringen. Resultaten indikerar att InfoVis är en möjlig lösning för att förbättra engagemang och användargläjde i samband med bokrekommendationer, och att det bör undersökasytterligare.
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Famureva, Abiola. "Development of Web Based Application for Visualisation of Railway Condition Data." Thesis, Luleå tekniska universitet, Institutionen för system- och rymdteknik, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-80841.
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Nordbø, Stein Jakob. "Information Visualisation and the Electronic Health Record : Visualising Collections of Patient Histories from General Practice." Thesis, Norwegian University of Science and Technology, Department of Computer and Information Science, 2006. http://urn.kb.se/resolve?urn=urn:nbn:no:ntnu:diva-9488.
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This thesis investigates the question: "How can we use information visualisation to support retrospective, explorative analysis of collections of patient histories?" Building on experience from previous projects, we put forth our answer to the question by making the following contributions: * Reviewing relevant literature. * Proposing a novel design for visual exploration of collections of histories, motivated in a specific problem within general practice health care and existing work in the field of information visualisation. This includes both presentation and interactive navigation of the data. * Describing a query language and associated algorithms for specifying temporal patterns in a patient history. * Developing an interactive prototype to demonstrate our design, and performing a preliminary case study. This case study is not rigorous enough to conclude about the feasibility of the design, but it forms a foundation for improvements of the prototype and further evaluation at a later stage. We envision that our design can be instrumental in exploring experiences in terms of treatment processes. In addition, we believe that the visualisation can be useful to researchers looking at data to be statistically evaluated, in order to discover new hypotheses or get ideas for the best analysis strategies. Our main conclusion is that the proposed design seems promising, and we will further develop our results through a research project during the summer and autumn of 2006.
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Vallet, Jason. "Where Social Networks, Graph Rewriting and Visualisation Meet : Application to Network Generation and Information Diffusion." Thesis, Bordeaux, 2017. http://www.theses.fr/2017BORD0818/document.
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Dans cette thèse, nous présentons à la fois une collection de modèles de générations de réseaux et de diffusion d'information exprimés à l'aide d'un formalisme particulier appelé la réécriture de graphes, ainsi qu'une nouvelle méthode de représentation permettant la visualisation de la diffusion d'information dans des grands réseaux sociaux. Les graphes sont des objets mathématiques particulièrement versatiles qui peuvent être utilisés pour représenter une large variété de systèmes abstraits. Ces derniers peuvent être transformés de multiples façons (création, fusion ou altération de leur éléments), mais de telles modifications doivent être contrôlées afin d'éviter toute opération non souhaitée. Pour cela, nous faisons appel au formalisme particulier de la réécriture de graphes afin d'encadrer et de contrôler toutes les transformations. Dans notre travail, un système de réécriture de graphes opère sur un graphe, qui peut être transformé suivant un ensemble de règles, le tout piloté par une stratégie. Nous commençons tout d'abord par utiliser la réécriture en adaptant deux algorithmes de génération de réseaux, ces derniers permettant la création de réseaux aux caractéristiques petit monde. Nous traduisons ensuite vers le formalisme de réécriture différents modèles de diffusion d'information dans les réseaux sociaux. En énonçant à l'aide d'un formalisme commun différents algorithmes, nous pouvons plus facilement les comparer, ou ajuster leurs paramètres. Finalement, nous concluons par la présentation d'un nouvel algorithme de dessin compact de grands réseaux sociaux pour illustrer nos méthodes de propagation d'informationIn this thesis, we present a collection of network generation and information diffusion models expressed using a specific formalism called strategic located graph rewriting, as well as a novel network layout algorithm to show the result of information diffusion in large social networks. Graphs are extremely versatile mathematical objects which can be used to represent a wide variety of high-level systems. They can be transformed in multiple ways (e.g., creating new elements, merging or altering existing ones), but such modifications must be controlled to avoid unwanted operations. To ensure this point, we use a specific formalism called strategic graph rewriting. In this work, a graph rewriting system operates on a single graph, which can then be transformed according to some transformation rules and a strategy to steer the transformation process. First, we adapt two social network generation algorithms in order to create new networks presenting small-world characteristics. Then, we translate different diffusion models to simulate information diffusion phenomena. By adapting the different models into a common formalism, we make their comparison much easier along with the adjustment of their parameters. Finally, we finish by presenting a novel compact layout method to display overviews of the results of our information diffusion method
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Bardos, Anthony John. "Colour image processing, information visualisation and an objective image quality alert for mobile imaging devices." Thesis, University of Reading, 2006. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.437129.
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Lee, Eugenia. "Stories in the data: An analysis of climate change visualisations in online news." Thesis, The University of Sydney, 2018. http://hdl.handle.net/2123/20298.
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This thesis explores the way journalists are using and adapting visualisations in climate change news, in order to investigate the meaning-making potential of an emerging form of digital journalism where methods of information visualisation are used to translate specialist knowledge and often complex, multivariate datasetsinto images that are more easily understood by, and of social value to, the general public. Applying a dual methodological framework of heuristic evaluation and social semiotic analysis, this thesis presents a novel method of exploring both the abstraction and translation of climate change data into multimodal visual displays of quantitative information. By conducting a content and textual analyses of 547 climate change visualisation stories collected in the year of 2015 from seven Western generalist news publications that have made a commitment to excellence in data journalism, this thesis found that despite the steady rise in the popularity of data journalism, journalists are not widely adopting scientific methods of data analysis and representation. Over half of the visualisations examined were sourced from science communicators and government bodies, reinforcing traditional news power relations. Further, the textual analyses found that visualisations operate discursively. Rather than present data in systemised, interactive ways, journalists are retaining a large degree of narrative control over the way meaning is construed with and through the use of visualisations. These stories thus illustrate a continuation of, rather than a digital break with, traditional journalism. Such findings pose a challenge to the normative assumptions that data journalism adds value to news by improving its openness, transparency, accountability, and accuracy.
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Fadloun, Samiha. "Visualisations pour la veille en épidémiologie animale." Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS025/document.
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De nombreux documents concernant l'émergence, la propagation ou le suivi de maladies humaines et animales sont quotidiennement publiés sur le Web. Afin de prévenir l'expansion des maladies, les épidémiologistes doivent constamment rechercher ces documents et les étudier afin de détecter les foyers de propagation le plus tôt possible. Dans cette thèse, nous nous intéressons aux deux activités liées à ce travail de veille afin de proposer des outils visuels permettant de faciliter/accélérer l'accès aux informations pertinentes. Nous nous focalisons sur les maladies animales, qui ont été moins étudiées et qui pourtant peuvent avoir de lourdes conséquences sur les activités humaines (maladies transmises d'animaux à humains, épidémies dans les élevages, ...).La première activité du veilleur consiste à collecter les documents issus du Web. Pour cela, nous proposons EpidVis, un outil visuel permettant aux épidémiologistes de regrouper et structurer les mots-clés nécessaires à leurs recherches, construire visuellement des requêtes complexes, les lancer sur différents moteurs de recherche et visualiser les résultats retournés. La seconde activité du veilleur consiste à explorer un grand nombre de documents concernant les maladies. Ces documents contiennent non seulement des informations telles que les noms des maladies, les symptômes associés, les espèces infectées, mais aussi des informations de type spatio-temporelles. Nous proposons EpidNews, un outil de visualisation analytique permettant d'explorer ces données en vue d'en extraire des informations. Les deux outils ont été réalisés dans le cadre d'une étroite collaboration avec des experts en épidémiologie. Ces derniers ont réalisé des études de cas pour montrer que les fonctionnalités des propositions étaient complètement adaptées et permettaient de pouvoir facilement extraire de la connaissanceMany documents concerning emergence, spread or follow-up of human and animal diseases are published daily on the Web. In order to prevent the spread of disease, epidemiologists must frequently search for these documents and analyze them to detect outbreaks as early as possible. In this thesis, we are interested in the two activities related to this monitoring work in order to produce visual tools facilitating the access to relevant information. We focus on animal diseases, which have been less studied but can have serious consequences for human activities (diseases transmitted from animals to humans, epidemics in livestock ...).The first activity is to collect documents from the Web. For this, we propose EpidVis, a visual tool that allows epidemiologists to group and organize the keywords used for their research, visually build complex queries, launch them on different search engines and view the results returned. The second activity is to explore a large number of documents concerning diseases. These documents contain not only information such as disease names, associated symptoms, infected species, but also spatio-temporal information. We propose EpidNews, a visual analytics tool to explore this data for information extraction. Both tools were developed in close collaboration with experts in epidemiology. The latter carried out case studies to show that the functionalities of the proposals were completely adapted and made it possible to easily extract knowledge
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Pititto, Silvia. "Generazione automatica di visualizzazioni di open data quantitativi." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2013. http://amslaurea.unibo.it/6218/.
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Le sfide dell'Information Visualisation ed i limiti dei sistemi di visualizzazione esistenti hanno portato alla creazione di un nuovo sistema per la generazione automatica di visualizzazioni di Open Data quantitativi, presentato in questa tesi.
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Herrmannová, Drahomíra. "A Relation/Topic-Based Visualisation to Aid Exploratory Search in Large Collections." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236482.
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This MSc Thesis was performed during a special practice at The Open University, Milton Keynes, UK. In recent years a number of new approaches for visualising and browsing document collections have been developed. These approaches try to address the problems associated with the growing amounts of content available and the changing patterns in the way people interact with information. Users now demand better support for exploring document collections to discover connections, compare and contrast information. Although visual search interfaces have the potential to improve the user experience in exploring document collections compared to textual search interfaces, they have not yet become as popular among users. The reasons for this range from the design of such visual interfaces to the way these interfaces are implemented and used. This work studies these reasons and determines the factors that contribute to an improved visual browsing experience. Consequently, by taking these factors into account, a novel visual search interface that improves exploratory search and the discovery of document relations is designed, implemented and evaluated.
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Gkoutzis, Konstantinos. "A Semantic Web based search engine with X3D visualisation of queries and results." Thesis, University of Plymouth, 2013. http://hdl.handle.net/10026.1/1595.
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The Semantic Web project has introduced new techniques for managing information. Data can now be organised more efficiently and in such a way that computers can take advantage of the relationships that characterise the given input to present more relevant output. Semantic Web based search engines can quickly educe exactly what is needed to be found and retrieve it while avoiding information overload. Up until now, search engines have interacted with their users by asking them to look for words and phrases. We propose the creation of a new generation Semantic Web search engine that will offer a visual interface for queries and results. To create such an engine, information input must be viewed not merely as keywords, but as specific concepts and objects which are all part of the same universal system. To make the manipulation of the interconnected visual objects simpler and more natural, 3D graphics are utilised, based on the X3D Web standard, allowing users to semantically synthesise their queries faster and in a more logical way, both for them and the computer.