Relevant bibliographies by topics / Graph-Based visualization and structuring

Academic literature on the topic 'Graph-Based visualization and structuring'

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Published: 7 July 2024

Last updated: 7 July 2024

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Journal articles on the topic "Graph-Based visualization and structuring":

Maio, Carmen De, Giuseppe Fenza, Vincenzo Loia, and Sabrina Senatore. "Knowledge structuring to support facet-based ontology visualization." International Journal of Intelligent Systems 25, no. 12 (October 15, 2010): 1249–64. http://dx.doi.org/10.1002/int.20451.

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Kurmangulov, Albert A., Dilara N. Isakova, and Natalya S. Brynza. "Structure of navigation information as a criterion of efficient visualization of a lean hospital." Science and Innovations in Medicine 6, no. 1 (March 29, 2021): 66–72. http://dx.doi.org/10.35693/2500-1388-2021-6-1-66-72.

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Objectives to determine the main types of structuring information of navigation systems in medical organizations of the Russian Federation and evaluate their compliance with the principles of lean production. Material and methods. A structural analysis of the types of information presentation in navigation systems was based on the publications selected from the E-library, Medline, Scopus, PubMed and the Cochrane Library databases. The research process included the use of research methods for law, historical, descriptive-analytical methods, content analysis. Results. The structuring of navigation information can be done according to numerological, architectural, routing, alphabetical, structural, functional and combined principles. The optimal choice of the principle of organizing information should depend on how detailed the navigation system is, on the analysis of the architectural solutions used for a medical organization and on the calculation of navigation objects. It is possible to increase the efficiency of structuring navigational information using an appropriate color scheme, infographic and compositional solutions. When improving the navigation systems of medical institutions as a part of lean hospital management, it is necessary to audit all available navigation elements to determine the principle of structuring the information. Conclusion. The effective visualization of a medical institution is the provision of clear and understandable navigational information. One of the most effective methods to systematize the navigation information is its structuring.

Uglev, Viktor, and Oleg Sychev. "Evaluation, Comparison and Monitoring of Multiparameter Systems by Unified Graphic Visualization of Activity Method on the Example of Learning Process." Algorithms 15, no. 12 (December 9, 2022): 468. http://dx.doi.org/10.3390/a15120468.

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The article discusses the problem of visualization of complex multiparameter systems, defined by datasets on their structure, functional structure, and activity in the form of complex graphs and transition of traditional representation of the data acquired by graph mining to a compact image built by pictographic methods. In these situations, we propose using the Unified Graphic Visualization of Activity (UGVA) method for data concentration and structuring. The UGVA method allows coding in an anthropomorphic image of elements of graphs with data on structural and functional features of systems and overlaying these images with the data on the system’s activity using coloring and artifacts. The image can be composed in different ways: it can include the zone of integral evaluation parameters, segmented data axes of five types, and four types of symmetry. We describe the method of creating UGVA images, which consists of 13 stages: the parametric model is represented as a structural image that is converted to a basic image that is then detailed into the particular image by defining geometric parameters of the primitives and to the individualized image with the data about a particular object. We show how the individualized image can be overlaid with the operative data as color coding and artifacts and describe the principles of interpreting UGVA images. This allows solving tasks of evaluation, comparison, and monitoring of complex multiparameter systems by showing the decision-maker an anthropomorphic image instead of the graph. We describe a case study of using the UGVA method for visualization of data about an educational process: curricula and graduate students, including the data mined from the university’s learning management system at the Siberian Federal University for students majoring in “informatics and computing”. The case study demonstrates all stages of image synthesis and examples of their interpretation for situation assessment, monitoring, and comparison of students and curricula. It allowed for finding problematic moments in learning for individual students and their entire group by analyzing the development of their competence profiles and formulating recommendations for further learning. The effectiveness of the resulting images is compared to the other approaches: elastic maps and Chernoff faces. We discuss using graph mining to generate learning problems in order to lessen the workload of gathering raw data for the UGVA method and provide general recommendations for using the UGVA method based on our experience of supporting decision making.

Khakimova, Aida, Xuejie Yang, Oleg Zolotarev, Maria Berberova, and Michael Charnine. "Tracking Knowledge Evolution Based on the Terminology Dynamics in 4P-Medicine." International Journal of Environmental Research and Public Health 17, no. 20 (October 13, 2020): 7444. http://dx.doi.org/10.3390/ijerph17207444.

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The accelerating evolution of scientific terms connected with 4P-medicine terminology and a need to track this process has led to the development of new methods of analysis and visualization of unstructured information. We built a collection of terms especially extracted from the PubMed database. Statistical analysis showed the temporal dynamics of the formation of derivatives and significant collocations of medical terms. We proposed special linguistic constructs such as megatokens for combining cross-lingual terms into a common semantic field. To build a cyberspace of terms, we used modern visualization technologies. The proposed approaches can help solve the problem of structuring multilingual heterogeneous information. The purpose of the article is to identify trends in the development of terminology in 4P-medicine.

Griffin, Amy L. "Feeling It Out: The Use of Haptic Visualization for Exploratory Geographic Analysis." Cartographic Perspectives, no. 39 (June 1, 2001): 12–29. http://dx.doi.org/10.14714/cp39.636.

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Visualization is often defined as the act or process of making something visible. MacEachren and Ganter (1990) have argued for an expanded definition of cartographic visualization that emphasizes the role of the map-reader’s cognitive processes and schemata when creating visual representations. Cartographic visualization in this sense requires both the designer and the user to structure information and identify salient patterns. Processes of pattern identification and structuring are what help to provide insight in exploratory analysis. Pattern identification and information structuring need not, however, be limited to the visual realm. The use of haptic (both tactual and kinesthetic) information for representing geographic phenomena has been given limited attention as a method for exploring data, due to the difficulty of implementing such methods. However, advances in virtual reality technologies may soon make it possible to implement these variables in a system that creates exploratory geographic virtual environments. This paper explores those haptic variables that might be used to create such representations, and develops a haptic variable syntax for the representation of geographic information based on a logical analysis of the physiological properties of haptic sensation.

Coffey, John W., Robert Hoffman, and Alberto Cañas. "Concept Map-Based Knowledge Modeling: Perspectives from Information and Knowledge Visualization." Information Visualization 5, no. 3 (June 22, 2006): 192–201. http://dx.doi.org/10.1057/palgrave.ivs.9500129.

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This article explores the idea of knowledge modeling as defined at the Florida Institute for Human and Machine Cognition. The notion of knowledge modeling is described to illustrate a particular method by which concept maps might be employed to create a useful structure and organization of other information and knowledge resources. Knowledge model structuring and navigational schemes afforded by the approach are described and illustrated. An example of a knowledge model pertaining to weather forecasting on the Gulf coast of the United States is presented to illustrate these ideas. Examples of how information visualization techniques have been and might be applied to the knowledge modeling scheme are discussed. Ideas pertaining to how knowledge models might serve as learning resources are briefly presented throughout. The article concludes with additional discourse regarding specific ways in which the knowledge modeling approach might be employed to create, present, and organize effective electronic learning resources.

Lysenko, V. P., and I. S. Chernova. "Methodology for intellectual management of entomophagous production." Mehanization and electrification of agricultural, no. 13(112) (2021): 231–37. http://dx.doi.org/10.37204/0131-2189-2021-13-26.

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Annotation Purpose. Development of a methodology for energy efficient management of the production of entomophages based on the use of intelligent algorithms. Methods. Factor-target and structural analysis; intelligent information technologies. Results. A methodology for intelligent management of the production of entomophages has been developed, which includes: determination of management objectives; production management requirements, taking into account its peculiarities; formalization complex and loosely structured dependencies; structuring information flows of production; intelligent algorithms for production control based on fuzzy logic, neural networks, cognitive analysis. Conclusions. The proposed methodology for the intelligent management of the production of entomophages makes it possible: to increase the level of technological controllability of processes (the possibility of changing its parameters) under the conditions of disturbances, while reducing the consumption of electricity and the influence of the subjective factor; to form control strategies in conditions of uncertainty. The functions of intelligent management of the production of entomophages are: assessment, forecasting; management; control; formalization; structuring; infocommunications; adaptability; monitoring; visualization and archiving of information. Keywords: methodology, management, production of entomophages, intelligent information technologies.

Dyka, Natalia, and Oleksandra Glazova. "USE OF VISUALIZATION TECHNOLOGIES IN DISTANCE LEARNING OF THE UKRAINIAN LANGUAGE IN INSTITUTIONS OF GENERAL SECONDARY EDUCATION." Continuing Professional Education: Theory and Practice, no. 4 (2020): 75–82. http://dx.doi.org/10.28925/1609-8595.2020.4.9.

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The article highlights the features of the use of visualization technologies during distance learning of the Ukrainian language in general secondary education. Scientific works on the coverage of the outlined problem in them are analyzed. It is proved that an effective learning tool, a productive methodological tool for intellectual development of students is the visualization of educational material. The peculiarities of the preparation of educational information are determined, which in a visually accessible for perception and understanding form can provide students with basic or necessary information. It is emphasized that the principle of cognitive visualization is based on psychological laws, according to which the effectiveness of learning increases through the connection to the process of perception of the «figurative» right hemisphere. The peculiarities of using the technology of visualization of educational material, in particular in distance learning, are substantiated. Techniques of structuring and visualization of educational material are described. Emphasis is placed on compliance with certain recommendations to achieve the goals set in the implementation of visualization technologies. It is emphasized that when working on the visualization of educational material, it is necessary to take into account certain patterns of perception of visual aids by students. The typical mistakes that are most often made in the process of visualization of educational material are analyzed, recommendations are given to eliminate them. It was found that the use of distance and blended learning and the significant potential of multimedia learning tools encourage teachers to use visualization in the educational process, which contributes to the intensification of the process of learning. Examples of realization of various pedagogical technologies of visualization in the process of teaching the Ukrainian language in general secondary education institutions in a distance format are given.

Shen, Leiming. "Application of Lightweight Freshmen Group Portrait Based on Echarts." Journal of Electrical Systems 20, no. 4s (April 8, 2024): 178–99. http://dx.doi.org/10.52783/jes.1905.

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This study designs a general analysis model for fusion method, big data portrait of young users using map engine data, and tries to solve the problem of fusion of qualitative and quantitative methods in user portrait. This paper determines the necessity of freshmen group portrait in the practice of ideological education by studying the freshmen group portrait and its objectives, connotations and roles; through the various aspects of data collection, cleaning, structuring, data analysis and modeling, the Echarts platform is used to establish a data visualization example, to achieve a three-dimensional, multi-dimensional and interactive visualization output of the freshmen group portrait, and with the help of the combination of qualitative and quantitative methods, the design of the Research model. Based on the theory of sociological psychology, we construct a user value map, use Look-alike algorithm to construct the map data labeling system, use K-Means clustering algorithm to get the data results, and analyze the data results for business. Using the model for big data empirical demonstration, the results show that young users can be divided into 20 categories of groups, and the total number of data results reaches 170 million, and the number of preference labels reaches 606, which is better than the results of survey data. And it is applied in the initial education and teaching practice process, obtaining better results, with replicable and generalizable practical application scenarios.

Nesterenko, Oleksandr V., Valery B. Polischuk, and Serhii S. Zharinov. "Application of integrative information technology in the evaluation processes of research institutions." Environmental safety and natural resources 49, no. 1 (March 29, 2024): 126–42. http://dx.doi.org/10.32347/2411-4049.2024.1.126-142.

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The article proposes a solution to the scientific-applied problem of automating decision support regarding the review of criteria and indicators used in the evaluation of state-supported scientific institutions. This topic is highly relevant for scientific and technical activities both in the conditions of martial law and during the restoration of the country in peacetime. To address this issue, an information technology for decision support by experts is proposed based on an integrative methodology that involves data structuring, support for expert judgments, and visualization of decision-making processes using methods such as approval voting, hierarchy analysis, analytical networks, computer ontologies, and elements of graph theory. A concise description of the integrative methodology and the cognitive process of solving unstructured multi-criteria problems supported by this methodology is provided. The functionality of the developed software toolkit is discussed using an illustrative example related to determining the criteria base for the evaluation of scientific institutions. Elements of the ontological evaluation framework, a hierarchical model for the decision-making task of selecting quantitative assessment alternatives, and the results of experts determining criteria weights for evaluating alternatives and conducting pairwise comparisons of alternatives are presented. The conducted research indicates that the developed methodology and software tools, which have previously been tested in law enforcement agencies, can also be applied in other structures of government administration. The obtained results, aimed at enhancing the efficiency of evaluating scientific institutions, can be utilized to support decision-making in various aspects of managing scientific and technical activities.

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Dissertations / Theses on the topic "Graph-Based visualization and structuring":

Blettery, Emile. "Structuring heritage iconographic collections : from automatic interlinking to semi-automatic visual validation." Electronic Thesis or Diss., Université Gustave Eiffel, 2024. http://www.theses.fr/2024UEFL2001.

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Cette thèse explore des approches de structuration automatique et semi-automatique pour les collections de contenus iconographiques patrimoniaux. La structuration et l'exploitation de tels contenus pourrait s'avérer bénéfique pour de nombreuses applications, du tourisme virtuel à un accès facilité pour les chercheurs et le grand public. Cependant, l'organisation "en silo" inhérente à ces collections entrave les approches de structuration automatique et toutes les applications subséquentes.La communauté de la vision par ordinateur a proposé de nombreuses méthodes automatiques pour l'indexation (et la structuration) de collections d'images à grande échelle. Exploitant l'aspect visuel des contenus, elles fonctionnent indépendamment des structures de métadonnées qui organisent principalement les collections patrimoniales, apparaissant ainsi comme une solution potentielle au problème de liage entre les structures uniques des différentes collections. Cependant, ces méthodes sont généralement entrainées sur de grands jeux d'images récentes ne reflétant pas la diversité visuelle des contenus patrimoniaux. Cette thèse vise à évaluer et à améliorer ces méthodes automatiques pour la structuration des contenus iconographiques patrimoniaux. Pour cela, cette thèse apporte trois différentes contributions avec l'objectif commun d'assurer une certaine explicabilité des méthodes évaluées et proposées, nécessaire pour justifier de leur pertinence et faciliter leur adaptation à de nouvelles acquisitions. La première contribution est une évaluation des approches automatiques de recherche d'images basée sur le contenu, confrontées aux différents types de données du patrimoine iconographique. Cette évaluation se concentre d'abord sur les descripteurs d'images de l'étape de recherche d'images, puis sur les méthodes de ré-ordonnancement qui réorganisent ensuite les images similaires en fonction d'un autre critère. Les approches les plus pertinentes peuvent alors être sélectionnées pour la suite tandis que celles qui ne le sont pas fournissent des informations inspirant notre deuxième contribution. La deuxième contribution consiste en trois nouvelles méthodes de ré-ordonnancement exploitant des informations spatiales plus ou moins globales pour réévaluer les liens de similarité visuelle créés par l'étape de recherche d'images. La première exploite les premières images retrouvées pour créer une scène 3D approximative dans laquelle les images retrouvées sont positionnées pour évaluer leur cohérence dans la scène. La deuxième simplifie la première avec une expansion de requête géométrique, c'est-à-dire en agrégeant des informations géométriques 2D issues des images récupérées pour encoder plus largement la géométrie de la scène sans la reconstruire (ce qui est couteux en temps de calcul). Enfin, la troisième exploite des informations de position plus globales, à l'échelle du jeu d'images, pour estimer la cohérence entre la similarité visuelle entre images et leur proximité spatiale. La troisième et dernière contribution est un processus semi-automatique de validation visuelle et de correction manuelle de la structuration d'une collection. Ce cadre exploite les approches automatiques les plus adaptées et une plateforme de visualisation basée sur une représentation en graphes. Nous utilisons plusieurs indices visuels pour orienter l'intervention manuelle de l'expert sur les zones impactantes. Cette approche semi-automatique guidée présente des avantages certains, car elle résout des erreurs de structuration qui échappent aux méthodes automatiques. Ces corrections étant ensuite largement diffusées dans toute la structure, l'améliorant globalement.Nous espérons que notre travail apportera quelques perspectives sur la structuration automatique de contenus iconographiques patrimoniaux par des approches basées sur le contenu, tout en ouvrant la porte à davantage de recherches sur la structuration semi-automatique guidée de collections d'images
This thesis explores automatic and semi-automatic structuring approaches for iconographic heritage contents collections. Indeed, exploiting such contents could prove beneficial for numerous applications. From virtual tourism to increased access for both researchers and the general public, structuring the collections would increase their accessibility and their use. However, the inherent "in silo" organization of those collections, each with their unique organization system hinders automatic structuring approaches and all subsequent applications. The computer vision community has proposed numerous automatic methods for indexing (and structuring) image collections at large scale. Exploiting the visual aspect of the contents, they are not impacted by the differences in metadata structures that mainly organize heritage collections, thus appearing as a potential solution to the problem of linking together unique data structures. However, those methods are trained on large, recent datasets, that do not reflect the visual diversity of iconographic heritage contents. This thesis aims at evaluating and exploiting those automatic methods for iconographic heritage contents structuring.To this end, this thesis proposes three distinct contributions with the common goal of ensuring a certain level of interpretability for the methods that are both evaluated and proposed. This interpretability is necessary to justify their efficiency to deal with such complex data but also to understand how to adapt them to new and different content. The first contribution of this thesis is an evaluation of existing state-of-the-art automatic content-based image retrieval (CBIR) approaches when faced with the different types of data composing iconographic heritage. This evaluation focuses first on image descriptors paramount for the image retrieval step and second, on re-ranking methods that re-order similar images after a first retrieval step based on another criterion. The most relevant approaches can then be selected for further use while the non-relevant ones provide insights for our second contribution. The second contribution consists of three novel re-ranking methods exploiting a more or less global spatial information to re-evaluate the relevance of visual similarity links created by the CBIR step. The first one exploits the first retrieved images to create an approximate 3D scene of the scene in which retrieved images are positioned to evaluate their coherence in the scene. The second one simplifies the first while extending the classical geometric verification setting by performing geometric query expansion, that is aggregating 2D geometric information from retrieved images to encode more largely the scene's geometry without the costly step of 3D scene creation. Finally, the third one exploits a more global location information, at dataset-level, to estimate the coherence of the visual similarity between images with regard to their spatial proximity. The third and final contribution is a framework for semi-automatic visual validation and manual correction of a collection's structuring. This framework exploits on one side the most suited automatic approaches evaluated or proposed earlier, and on the other side a graph-based visualization platform. We exploit several visual clues to focus the expert's manual intervention on impacting areas. We show that this guided semi-automatic approach has merits in terms of performance as it solves mistakes in the structuring that automatic methods can not, these corrections being then largely diffused throughout the structure, improving it even more globally.We hope our work will provide some first insights on automatically structuring heritage iconographic content with content-based approaches but also encourage further research on guided semi-automatic structuring of image collections

WIner, Michael Loyd. "Fifth Graders’ Reasoning on the Enumeration of Cube-Packages in Rectangular Boxes in an Inquiry-Based Classroom." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1281978828.

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Archambault, Daniel William. "Feature-based graph visualization." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/2839.

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A graph consists of a set and a binary relation on that set. Each element of the set is a node of the graph, while each element of the binary relation is an edge of the graph that encodes a relationship between two nodes. Graph are pervasive in many areas of science, engineering, and the social sciences: servers on the Internet are connected, proteins interact in large biological systems, social networks encode the relationships between people, and functions call each other in a program. In these domains, the graphs can become very large, consisting of hundreds of thousands of nodes and millions of edges. Graph drawing approaches endeavour to place these nodes in two or three-dimensional space with the intention of fostering an understanding of the binary relation by a human being examining the image. However, many of these approaches to drawing do not exploit higher-level structures in the graph beyond the nodes and edges. Frequently, these structures can be exploited for drawing. As an example, consider a large computer network where nodes are servers and edges are connections between those servers. If a user would like understand how servers at UBC connect to the rest of the network, a drawing that accentuates the set of nodes representing those servers may be more helpful than an approach where all nodes are drawn in the same way. In a feature-based approach, features are subgraphs exploited for the purposes of drawing. We endeavour to depict not only the binary relation, but the high-level relationships between features. This thesis extensively explores a feature-based approach to graph vi sualization and demonstrates the viability of tools that aid in the visual ization of large graphs. Our contributions lie in presenting and evaluating novel techniques and algorithms for graph visualization. We implement five systems in order to empirically evaluate these techniques and algorithms, comparing them to previous approaches.

Pavlo, Andrew. "Interactive, tree-based graph visualization /." Link to online version, 2006. https://ritdml.rit.edu/dspace/handle/1850/1543.

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Sandelius, Tim. "Graph-based Visualization of Sensor Data." Thesis, Örebro universitet, Institutionen för naturvetenskap och teknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:oru:diva-94170.

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Att visualisera rörelsedata är ett kraftigt undersökt område och en komplex uppgift. I det här projektet har jag använt rörelsedata insamlad av sensorer från Akademiska hus utplacerade på Örebro Universitetscampus. Datan är använd för att visualisera rörelser gjorda inuti byggnaderna genom en webapplikation skriven med enbart Python. Anslutbarhet mellan sensorer är undersökt huruvida det är möjligt att generera anslutbarhetsgrafer med informationen kopplad till specifika sensorer automatiskt eller för hand. I projektet så undersöks även huruvida rörelseflöden är möjliga att visualisera via den datan tillgängliggjord av Akademiska hus.
Visualizing movement data is a heavily researched area and complex task. In this project I have used movement data collected by sensors from Akademiska hus placed on campus of Örebro University. The data is used to visualize movement made inside the buildings through a developed webapp written entirely in Python. Connectivity between sensors is studied whether it is possible to generate connectivity graphs with the information associated to specific sensors automatically or done by hand. The project also researches whether movement flows are possible to visualize with the data available from Akademiska hus.

Afzal, Mansoor. "Graph-Based Visualization of Ontology-Based Competence Profiles for Research Collaboration." Thesis, Tekniska Högskolan, Högskolan i Jönköping, JTH. Forskningsmiljö Informationsteknik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-20123.

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Information visualization can be valuable in a wide range of applications, it deals with abstract, non-spatial data and with the representation of data elements in a meaningful form irrespective of the size of the data, because sometimes visualization itself focuses on the certain key aspects of the data in the representation and thus it helps by providing ease for the goal oriented interpretation. Information visualization focuses on providing a spontaneous and deeper level of the understanding of the data. Research collaboration enhances sharing knowledge and also enhances an individual’s talent. New ideas are generated when knowledge is shared and transferred among each other. According to (He et al, 2009) Research collaboration has been considered as a phenomenon of growing importance for the researchers, also it should be encouraged and is considered to be a “good thing” among the researchers. The main purpose of this thesis work is to prepare a model for the competence profile visualization purpose. For this purpose the study of different visualization techniques that exist in the field of information visualization are discussed in this thesis work. The study and discussion about the visualization techniques motivates in selecting appropriate visualization techniques for the visualization of Ontology-based competence profiles for research collaboration purpose. A proof of concept is developed which shows how these visualization techniques are applied to visualize several components of competence profile.

Tu, Ying. "Focus-based Interactive Visualization for Structured Data." The Ohio State University, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=osu1366198735.

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ZHONG, LI. "SHORTCUT BASED GRAPH COARSENING FOR PROTEIN INTERACTION NETWORK VISUALIZATION." University of Cincinnati / OhioLINK, 2001. http://rave.ohiolink.edu/etdc/view?acc_num=ucin997457452.

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Lu, Jia Wei. "Clustering-based force-directed algorithms for three-dimensional graph visualization." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3950626.

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Colmenares, Hugo Armando Gualdron. "Block-based and structure-based techniques for large-scale graph processing and visualization." Universidade de São Paulo, 2015. http://www.teses.usp.br/teses/disponiveis/55/55134/tde-23032016-145752/.

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Data analysis techniques can be useful in decision-making processes, when patterns of interest can indicate trends in specific domains. Such trends might support evaluation, definition of alternatives, or prediction of events. Currently, datasets have increased in size and complexity, posing challenges to modern hardware resources. In the case of large datasets that can be represented as graphs, issues of visualization and scalable processing are of current concern. Distributed frameworks are commonly used to deal with this data, but the deployment and the management of computational clusters can be complex, demanding technical and financial resources that can be prohibitive in several scenarios. Therefore, it is desirable to design efficient techniques for processing and visualization of large scale graphs that optimize hardware resources in a single computational node. In this course of action, we developed a visualization technique named StructMatrix to find interesting insights on real-life graphs. In addition, we proposed a graph processing framework M-Flash that used a novel, bimodal block processing strategy (BBP) to boost computation speed by minimizing I/O cost. Our results show that our visualization technique allows an efficient and interactive exploration of big graphs and our framework MFlash significantly outperformed all state-of-the-art approaches based on secondary memory. Our contributions have been validated in peer-review events demonstrating the potential of our finding in fostering the analytical possibilities related to large-graph data domains.
Técnicas de análise de dados podem ser úteis em processos de tomada de decisão, quando padrões de interesse indicam tendências em domínios específicos. Tais tendências podem auxiliar a avaliação, a definição de alternativas ou a predição de eventos. Atualmente, os conjuntos de dados têm aumentado em tamanho e complexidade, impondo desafios para recursos modernos de hardware. No caso de grandes conjuntos de dados que podem ser representados como grafos, aspectos de visualização e processamento escalável têm despertado interesse. Arcabouços distribuídos são comumente usados para lidar com esses dados, mas a implantação e o gerenciamento de clusters computacionais podem ser complexos, exigindo recursos técnicos e financeiros que podem ser proibitivos em vários cenários. Portanto é desejável conceber técnicas eficazes para o processamento e visualização de grafos em larga escala que otimizam recursos de hardware em um único nó computacional. Desse modo, este trabalho apresenta uma técnica de visualização chamada StructMatrix para identificar relacionamentos estruturais em grafos reais. Adicionalmente, foi proposta uma estratégia de processamento bimodal em blocos, denominada Bimodal Block Processing (BBP), que minimiza o custo de I/O para melhorar o desempenho do processamento. Essa estratégia foi incorporada a um arcabouço de processamento de grafos denominado M-Flash e desenvolvido durante a realização deste trabalho.Foram conduzidos experimentos a fim de avaliar as técnicas propostas. Os resultados mostraram que a técnica de visualização StructMatrix permitiu uma exploração eficiente e interativa de grandes grafos. Além disso, a avaliação do arcabouço M-Flash apresentou ganhos significativos sobre todas as abordagens baseadas em memória secundária do estado da arte. Ambas as contribuições foram validadas em eventos de revisão por pares, demonstrando o potencial analítico deste trabalho em domínios associados a grafos em larga escala.

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Books on the topic "Graph-Based visualization and structuring":

Vathy-Fogarassy, Ágnes. Graph-Based Clustering and Data Visualization Algorithms. London: Springer London, 2013.

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Vathy-Fogarassy, Ágnes, and János Abonyi. Graph-Based Clustering and Data Visualization Algorithms. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5158-6.

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Abonyi, János, and Ágnes Vathy-Fogarassy. Graph-Based Clustering and Data Visualization Algorithms. Springer, 2013.

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Abonyi, János, and Ágnes Vathy-Fogarassy. Graph-Based Clustering and Data Visualization Algorithms. Springer, 2013.

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Book chapters on the topic "Graph-Based visualization and structuring":

Ribarsky, William, Zachary Wartell, and Wenwen Dou. "Event Structuring as a General Approach to Building Knowledge in Time-Based Collections." In Expanding the Frontiers of Visual Analytics and Visualization, 149–62. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2804-5_9.

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Knauff, Markus. "Visualization, Reasoning, and Rationality." In Graph-Based Representation and Reasoning, 3–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23182-8_1.

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Vathy-Fogarassy, Ágnes, and János Abonyi. "Graph-Based Clustering Algorithms." In Graph-Based Clustering and Data Visualization Algorithms, 17–41. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5158-6_2.

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Jadeja, Mahipal, and Rahul Muthu. "Edgeless Graph: A New Graph-Based Information Visualization Technique." In Advances in Intelligent Systems and Computing, 451–61. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9953-8_39.

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Saikia, Himangshu, and Tino Weinkauf. "Fast Topology-Based Feature Tracking using a Directed Acyclic Graph." In Mathematics and Visualization, 155–69. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43036-8_10.

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Telea, Alexandru. "Image-Based Graph Visualization: Advances and Challenges." In Lecture Notes in Computer Science, 3–19. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-04414-5_1.

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Šuvakov, Milovan. "Physics Based Algorithms for Sparse Graph Visualization." In Computational Science – ICCS 2008, 593–600. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-69387-1_68.

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Vathy-Fogarassy, Ágnes, and János Abonyi. "Vector Quantisation and Topology Based Graph Representation." In Graph-Based Clustering and Data Visualization Algorithms, 1–16. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5158-6_1.

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Vathy-Fogarassy, Ágnes, and János Abonyi. "Graph-Based Visualisation of High Dimensional Data." In Graph-Based Clustering and Data Visualization Algorithms, 43–91. London: Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5158-6_3.

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Rohrschneider, Markus, Christian Heine, André Reichenbach, Andreas Kerren, and Gerik Scheuermann. "A Novel Grid-Based Visualization Approach for Metabolic Networks with Advanced Focus&Context View." In Graph Drawing, 268–79. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11805-0_26.

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Conference papers on the topic "Graph-Based visualization and structuring":

Gluckstad, Fumiko Kano, Tue Herlau, Mikkel N. Schmidt, and Morten Morup. "Unsupervised Knowledge Structuring: Application of Infinite Relational Models to the FCA Visualization." In 2013 International Conference on Signal-Image Technology & Internet-Based Systems (SITIS). IEEE, 2013. http://dx.doi.org/10.1109/sitis.2013.48.

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Georgiev, Georgi V., Toshiharu Taura, Amaresh Chakrabarti, and Yukari Nagai. "Method of Design Through Structuring of Meanings." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49500.

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This research shows a new approach and development of a design methodology, based on the perspective of meanings. In this study the design process is explored as a development of the structure of meanings. The processes of search and evaluation of meanings form the foundations of developing this structure. In order to facilitate the use and operation of the meanings, the WordNet lexical database and an existing visualization of WordNet — Visuwords — is used for the process of meaning search. The basic tool used for evaluation process is the WordNet::Similarity software, measuring the relatedness of meanings in the database. In this way it is measuring the degree of interconnections between different meanings. This kind of search and evaluation techniques are later on incorporated into our methodology of the structure of meanings to support the design process. The measures of relatedness of meanings are developed as convergence criteria for application in the processes of evaluation. Further on, the methodology for the structure of meanings developed here is used to construct meanings in a verification of product design. The steps of the design methodology, including the search and evaluation processes involved in developing the structure of the meanings, are elucidated. The choices, made by the designer in terms of meanings are supported by consequent searches and evaluations of meanings to be implemented in the designed product. In conclusion, the paper presents directions for developing and further extensions of the proposed design methodology.

Ried, Dennis. "Erhebung, Transformation und Präsentation digitaler Forschungsdaten." In Jahrestagung der Gesellschaft für Musikforschung 2019. Paderborn und Detmold. Musikwissenschaftliches Seminar der Universität Paderborn und der Hochschule für Musik Detmold, 2020. http://dx.doi.org/10.25366/2020.92.

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The process of data acquisition and transformation of Baumann Digital and Joachim-Raff-Archiv is the subject of this poster description. The data in both projects is (meanwhile) based on TEI and MEI to obtain a machine-readable corpus. The presentation platform created for this project was initially intended as a simple form of visualization for internal use, i. e. for structuring, proofreading of digital contents and first evaluations. The xQuery-based application for eXist-db was developed in detail during the first period of the Baumann Digital project, adding the dimension of public presentation to its original purpose. This poster focuses on the process of collecting, transforming and presenting the data of these two small projects, which have different research interests but deal with similar archival material.

Antunes, António, Miguel Lopes, José Barateiro, and Elsa Cardoso. "GELCO: Gamified Educational Learning Contents Ontology." In 23ª Conferência da Associação Portuguesa de Sistemas de Informação. Associação Portuguesa de Sistemas de Informação, APSI, 2023. http://dx.doi.org/10.18803/capsi.v23.295-316.

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Higher education students and teachers lack the necessary information to monitor and analyse student performance with respect to the learning experience and autonomous work during the semester. This research is based on the need for continuous improvement of student learning monitoring for students and teachers. It aims to combine ontologies with a monitoring platform, creating new ways of structuring and visualizing the elements of a course unit, of mapping and visualizing the dependencies between taught concepts and coursework, enabling the inference of new knowledge. The Gamified Educational Learning Contents Ontology (GELCO) was designed to define educational concepts and respective relations. A Syllabus Content Mindmap was developed within the Learning Scorecard, an academic performance management platform based on Business Intelligence and Gamification, taking advantage of the knowledge from GELCO. The ontology was successfully evaluated with competency questions, and students found the mindmap visualization useful and valuable for their academic performance monitoring.

Mengoni, Maura, Barbara Colaiocco, Michele Germani, and Margherita Peruzzini. "Design of a Novel Human-Computer Interface to Support HCD Application." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28975.

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The importance of Human-Centered Design (HCD) drives research toward the development of new UIs (User Interfaces) in order to predict human interaction with products at the early design stages. Virtual Reality (VR) allows carrying out usability tests on virtual prototypes to investigate users’ cognitive and affective response. Application problems regard with the reproduction of synaesthesia qualities in order to make the information processing similar to the one obtained by real sensory stimulation. While visualization technologies seem to be mature enough to overcome the above mentioned limitation, tactile devices are still far from properly simulating materials properties. In this context, the present work aims at structuring and applying a systematic approach to conceive, define and develop a novel VR-based technology, called I-perTouch. The goal is to stimulate the skin mechanoreceptors to generate a meaningful tactile sensation about materials softness, friction and roughness. The system can be also integrated with imaging and sound technologies to create a multi-sensorial product experience. The preliminary architecture results from the analysis of human tactile perception and the benchmark of available simulation devices and techniques. This paper contributes to discuss current issues of existing VR-based technologies in supporting HCD applications and to address technical developments toward the creation of a reliable system for texture perception.

Che, Limei, Jie Liang, Xiaoru Yuan, Jianping Shen, Jinquan Xu, and Yong Li. "Laplacian-based dynamic graph visualization." In 2015 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2015. http://dx.doi.org/10.1109/pacificvis.2015.7156358.

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Lima, Daniel Mario de, Jose Fernando Rodrigues, and Agma Juci Machado Traina. "Graph-Based Relational Data Visualization." In 2013 17th International Conference on Information Visualisation. IEEE, 2013. http://dx.doi.org/10.1109/iv.2013.28.

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Heim, Philipp, Steffen Lohmann, Kim Lauenroth, and Jürgen Ziegler. "Graph-based Visualization of Requirements Relationships." In 2008 Requirements Engineering Visualization (REV). IEEE, 2008. http://dx.doi.org/10.1109/rev.2008.2.

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Hosobe, Hiroshi. "Numerical optimization-based graph drawing revisited." In 2012 IEEE Pacific Visualization Symposium (PacificVis). IEEE, 2012. http://dx.doi.org/10.1109/pacificvis.2012.6183577.

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Brunner, Tibor, and Máté Cserép. "Rule based graph visualization for software systems." In The 9th International Conference on Applied Informatics. Eger: Eszterházy Károly College, 2015. http://dx.doi.org/10.14794/icai.9.2014.1.121.

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Reports on the topic "Graph-Based visualization and structuring":

Ruff, Grigory, and Tatyana Sidorina. THE DEVELOPMENT MODEL OF ENGINEERING CREATIVITY IN STUDENTS OF MILITARY INSTITUTIONS. Science and Innovation Center Publishing House, December 2020. http://dx.doi.org/10.12731/model_of_engineering_creativity.

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The troops of the national guard of the Russian Federation are equipped with modern models of weapons, special equipment, Informatization tools, engineering weapons that have artificial intelligence in their composition are being developed, " etc., which causes an increase in the requirements for the quality of professional training of future officers. The increasing complexity of military professional activities, the avalanche-like increase in information, the need to develop the ability to quickly and accurately make and implement well-known and own engineering solutions in an unpredictable military environment demonstrates that the most important tasks of modern higher education are not only providing graduates with a system of fundamental and special knowledge and skills, but also developing their professional independence, and this led to the concept of engineering and creative potential in the list of professionally important qualities of an officer. To expedite a special mechanism system compact intense clarity through cognitive visualization of the educational material, thickening of educational knowledge through encoding, consolidation and structuring Principle of cognitive visualization stems from the psychological laws in accordance with which the efficiency of absorption is increased if visibility in training does not only illustrative, but also cognitive function, which leads to active inclusion, along with the left and right hemispheres of the student in the process of assimilation of information, based on the use of logical and semantic modeling, which contributes to the development of engineering and creative potential.

Mayo, Jackson R., W. Philip, Jr Kegelmeyer, Matthew H. Wong, Philippe Pierre Pebay, Ann C. Gentile, David C. Thompson, Diana C. Roe, Vincent De Sapio, and James M. Brandt. A framework for graph-based synthesis, analysis, and visualization of HPC cluster job data. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/992310.

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Shapovalov, Yevhenii B., Viktor B. Shapovalov, Roman A. Tarasenko, Stanislav A. Usenko, and Adrian Paschke. A semantic structuring of educational research using ontologies. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4433.

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This article is devoted to the presentation of the semantic interoperability of research and scientific results through an ontological taxonomy. To achieve this, the principles of systematization and structuration of the scientific/research results in scientometrics databases have been analysed. We use the existing cognitive IT platform Polyhedron and extend it with an ontology-based information model as main contribution. As a proof-of-concept we have modelled two ontological graphs, “Development of a rational way for utilization of methane tank waste at LLC Vasylkivska poultry farm” and “Development a method for utilization of methane tank effluent”. Also, for a demonstration of the perspective of ontological systems for a systematization of research and scientific results, the “Hypothesis test system” ontological graph has created.