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Dissertations / Theses on the topic 'Web searching'
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Halfar, Martin. "Web Server for Protein Interaction Searching." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2012. http://www.nusl.cz/ntk/nusl-236515.
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Tato práce se zabývá zbůsoby, jimiž je možné získávat data z bioinformatických databází obsahujících data týkajících se interakcí mezi proteiny. Od souvislostí okolo vzniku bioinformatiky sloučením informatiky a biologie tato práce uvede čtenáře do problematiky přístupu k datům týkajících se interakcí mezi proteiny. Tato práce vysvětlí důvody vzniku IMEx konsorcia, jeho cíle a prostředky, kterými svých cílů dosahuje. IMEx konsorcium dalo vzniknout mnoha standardům, které usnadňují přístup k datům členů konsorcia a výměnu těchto dat mezi nimi. Jedním z výtvorů IMEx konsorcia je i webová služba PSICQUIC, která byla navržena s využitím architektonického stylu REST, a která je přístupná i pomocí protokolu SOAP. Obě tyto kategorie přístupů k webových službám jsou v rámci této práce studovány a na základě výsledků výzkumu je implementována aplikace pro získávání interakcí mezi proteiny z databází, jenž jsou členy IMEx konsorcia.
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Lewandowski, Dirk. "Web Searching, Search Engines and Information Retrieval." ISO Press, 2005. http://hdl.handle.net/10150/106395.
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This article discusses Web search engines; mainly the challenges in indexing the World Wide Web, the user behaviour, and the ranking factors used by these engines. Ranking factors are divided into query-dependent and query-independent factors, the latter of which have become
more and more important within recent years. The possibilities of these factors are limited, mainly of those that are based on the widely used link popularity measures. The article concludes with an overview of factors that should be considered to determine the quality of Web
search engines.
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Mohan, Gowrishankar. "Investigating older adults' web information searching behaviour." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/122971/1/Gowrishankar_Mohan_Thesis.pdf.
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Older adults' Internet usage is increasing and at the same time, finding information in a large website is never easy. This study aimed to understand the impact of web familiarity and content knowledge on older adults' web searching behaviour in large information websites. Experimental observations with think-aloud protocol were used to gather and analyse data from 70 older adults. Results indicated quick and correct use of features by high web familiarity older adults. A Familiarity-based Web Design (FWD) framework is proposed as an outcome to help design websites that are friendly to lower web familiarity and content knowledge older adults.
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Shen, Dou. "Learning-based Web query understanding /." View abstract or full-text, 2007. http://library.ust.hk/cgi/db/thesis.pl?CSED%202007%20SHEN.
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Taye, Mohammad Mustafa. "Ontology alignment mechanisms for improving web-based searching." Thesis, De Montfort University, 2009. http://hdl.handle.net/2086/2423.
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Ontology has been developed to offer a commonly agreed understanding of a domain that is required for knowledge representation, knowledge exchange and reuse across domains. Therefore, ontology organizes information into taxonomies of terms (i.e., concepts, attributes) and shows the relationships between them. In fact, it is considered to be helpful in reducing conceptual confusion for users who need to share applications of different kinds, so it is widely used to capture and organize knowledge in a given domain. Although ontologies are considered to provide a solution to data heterogeneity, from another point of view, the available ontologies could themselves introduce heterogeneity problems. In order to deal with these problems, ontologies must be available for sharing or reusing; therefore, semantic heterogeneity and structural differences need to be resolved among ontologies. This can be done, in some cases, by aligning or matching heterogeneous ontologies. Thus, establishing the relationships between terms in the different ontologies is needed throughout ontology alignment. Semantic interoperability can be established in ontology reconciliation. The original problem is called the ―ontology alignment‖. The alignment of ontologies is concerned with the identification of the semantic relationships (subsumption, equivalence, etc.) that hold between the constituent entities (which can be classes, properties, etc.) of two ontologies. In this thesis, an ontology alignment technique has been developed in order to facilitate communication and build a bridge between ontologies. An efficient mechanism has been developed in order to align entities from ontologies in different description languages (e.g. OWL, RDF) or in the same language. This approach tries to use all the features of ontologies (concept, attributes, relations, structure, etc.) in order to obtain efficiency and high quality results. For this purpose, several matching techniques have been used such as string, structure, heuristic and linguistic matchingtechniques with thesaurus support, as well as human intervention in certain cases, to obtain high quality results. The main aim of the work is to introduce a method for finding semantic correspondences among heterogeneous ontologies, with the intention of supporting interoperability over given domains. The approach brings together techniques in modelling, string matching, computation linguistics, structure matching and heuristic matching, in order to provide a semi-automatic alignment framework and prototype alignment system to support the procedure of ontology alignment in order to improve semantic interoperability in heterogeneous systems. This technique integrates some important features in matching in order to achieve high quality results, which will help when searching and exchanging information between ontologies. Moreover, an ontology alignment system illustrates the solving of the key issues related to heterogeneous ontologies, which uses combination-matching strategies to execute the ontology-matching task. Therefore, it can be used to discover the matching between ontologies. This thesis also describes a prototype implementation of this approach in many real-world case studies extracted from various Web resources. Evaluating our system is done throughout the experiments provided by the Ontology Alignment Evaluation Initiative. The system successfully achieved 93% accuracy for ontology matching. Finally, a comparison between our system and well-known tools is achieved so that our system can be evaluated.
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Chen, Hsinchun, Haiyan Fan, Michael Chau, and Daniel Zeng. "MetaSpider: Meta-Searching and Categorization on the Web." Wiley Periodicals, Inc, 2001. http://hdl.handle.net/10150/105331.
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Artificial Intelligence Lab, Department of MIS, Univeristy of ArizonaIt has become increasingly difficult to locate relevant information on the Web, even with the help of Web search engines. Two approaches to addressing the low precision and poor presentation of search results of current search tools are studied: meta-search and document categorization. Meta-search engines improve precision by selecting and integrating search results fromgeneric or domain-specific Web search engines or other resources. Document categorization promises better organization and presentation of retrieved results. This article introduces MetaSpider, a meta-search engine that has real-time indexing and categorizing functions. We report in this paper the major components of MetaSpider and discuss related technical approaches. Initial results of a user evaluation study comparing Meta- Spider, NorthernLight, and MetaCrawler in terms of clustering performance and of time and effort expended show that MetaSpider performed best in precision rate, but disclose no statistically significant differences in recall rate and time requirements. Our experimental study also reveals that MetaSpider exhibited a higher level of automation than the other two systems and facilitated efficient searching by providing the user with an organized, comprehensive view of the retrieved documents.
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Pun, Joshua Chun-chung. "On the use of the appropriateness and cohesiveness Web data quality dimensions for finding high quality Web pages /." View abstract or full-text, 2006. http://library.ust.hk/cgi/db/thesis.pl?COMP%202006%20PUN.
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Gåfvels, Niklas. "Searching Web Feeds from a Functional Database Management System." Thesis, Uppsala University, Department of Information Technology, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-110893.
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Web feeds are a popular technique to distribute information about contents of web pages. RSS and Atom are two standards used to syndicate web contents as web feeds. This project investigates how to make different kinds of Internet web feeds searchable by implementing a general wrapper for web feeds in an extensible and functional DBMS, Amos II. The system, RSS-Amos, makes it possible to search the contents of any RSS or Atom based web feed using the query language AmosQL. New web feeds simply have to be declared to the system in order to make them searchable. The system guarantees that added feeds always are up to date when queries are made. The wrapper is implemented in Java using the ROME API from java.net. The project includes an evaluation of the performance of the system. Due to the fact that the actual data sources are located on the Internet, a cache of read feeds has been implemented to improve performance. The cache makes queries over 150 times faster.
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Alexopoulou, Peggy (Pagona). "A new integrated model for multitasking during web searching." Thesis, Loughborough University, 2016. https://dspace.lboro.ac.uk/2134/20320.
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Investigating multitasking information behaviour, particularly while using the web, has become an increasingly important research area. People s reliance on the web to seek and find information has encouraged a number of researchers to investigate the characteristics of information seeking behaviour and the web seeking strategies used. The current research set out to explore multitasking information behaviour while using the web in relation to people s personal characteristics, working memory, and flow (a state where people feel in control and immersed in the task). Also investigated were the effects of pre-determined knowledge about search tasks and the artefact characteristics. In addition, the study also investigated cognitive states (interactions between the user and the system) and cognitive coordination shifts (the way people change their actions to search effectively) while multitasking on the web. The research was exploratory using a mixed method approach. Thirty University students participated; 10 psychologists, 10 accountants and 10 mechanical engineers. The data collection tools used were: pre and post questionnaires, pre-interviews, a working memory test, a flow state scale test, audio-visual data, web search logs, think aloud data, observation, and the critical decision method. Based on the working memory test, the participants were divided into two groups, those with high scores and those with lower scores. Similarly, participants were divided into two groups based on their flow state scale tests. All participants searched information on the web for four topics: two for which they had prior knowledge and two more without prior knowledge. The results revealed that working memory capacity affects multitasking information behaviour during web searching. For example, the participants in the high working memory group and high flow group had a significantly greater number of cognitive coordination and state shifts than the low working memory group and low flow group. Further, the perception of task complexity was related to working memory capacity; those with low memory capacity thought task complexity increased towards the end of tasks for which they had no prior knowledge compared to tasks for which they had prior knowledge. The results also showed that all participants, regardless of their working memory capacity and flow level, had the same the first frequent cognitive coordination and cognitive state sequences: from strategy to topic. In respect of disciplinary differences, accountants rated task complexity at the end of the web seeking procedure to be statistically less significant for information tasks with prior knowledge compared to the participants from the other disciplines. Moreover, multitasking information behaviour characteristics such as the number of queries, web search sessions and opened tabs/windows during searches has been affected by the disciplines. The findings of the research enabled an exploratory integrated model to be created, which illustrates the nature of multitasking information behaviour when using the web. One other contribution of this research was to develop new more specific and closely grounded definitions of task complexity and artefact characteristics). This new research may influence the creation of more effective web search systems by placing more emphasis on our understanding of the complex cognitive mechanisms of multitasking information behaviour when using the web.
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Du, Jia (Tina). "Multitasking, cognitive coordination and cognitive shifts during web searching." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/35717/1/Jia_Du_Thesis.pdf.
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As Web searching becomes more prolific for information access worldwide, we need to better understand users’ Web searching behaviour and develop better models of their interaction with Web search systems. Web search modelling is a significant and important area of Web research. Searching on the Web is an integral element of information behaviour and human–computer interaction. Web searching includes multitasking processes, the allocation of cognitive resources among several tasks, and shifts in cognitive, problem and knowledge states. In addition to multitasking, cognitive coordination and cognitive shifts are also important, but are under-explored aspects of Web searching. During the Web searching process, beyond physical actions, users experience various cognitive activities. Interactive Web searching involves many users’ cognitive shifts at different information behaviour levels. Cognitive coordination allows users to trade off the dependences among multiple information tasks and the resources available. Much research has been conducted into Web searching. However, few studies have modelled the nature of and relationship between multitasking, cognitive coordination and cognitive shifts in the Web search context. Modelling how Web users interact with Web search systems is vital for the development of more effective Web IR systems. This study aims to model the relationship between multitasking, cognitive coordination and cognitive shifts during Web searching. A preliminary theoretical model is presented based on previous studies. The research is designed to validate the preliminary model. Forty-two study participants were involved in the empirical study. A combination of data collection instruments, including pre- and post-questionnaires, think-aloud protocols, search logs, observations and interviews were employed to obtain users’ comprehensive data during Web search interactions. Based on the grounded theory approach, qualitative analysis methods including content analysis and verbal protocol analysis were used to analyse the data. The findings were inferred through an analysis of questionnaires, a transcription of think-aloud protocols, the Web search logs, and notes on observations and interviews. Five key findings emerged. (1) Multitasking during Web searching was demonstrated as a two-dimensional behaviour. The first dimension was represented as multiple information problems searching by task switching. Users’ Web searching behaviour was a process of multiple tasks switching, that is, from searching on one information problem to searching another. The second dimension of multitasking behaviour was represented as an information problem searching within multiple Web search sessions. Users usually conducted Web searching on a complex information problem by submitting multiple queries, using several Web search systems and opening multiple windows/tabs. (2) Cognitive shifts were the brain’s internal response to external stimuli. Cognitive shifts were found as an essential element of searching interactions and users’ Web searching behaviour. The study revealed two kinds of cognitive shifts. The first kind, the holistic shift, included users’ perception on the information problem and overall information evaluation before and after Web searching. The second kind, the state shift, reflected users’ changes in focus between the different cognitive states during the course of Web searching. Cognitive states included users’ focus on the states of topic, strategy, evaluation, view and overview. (3) Three levels of cognitive coordination behaviour were identified: the information task coordination level, the coordination mechanism level, and the strategy coordination level. The three levels of cognitive coordination behaviour interplayed to support multiple information tasks switching. (4) An important relationship existed between multitasking, cognitive coordination and cognitive shifts during Web searching. Cognitive coordination as a management mechanism bound together other cognitive processes, including multitasking and cognitive shifts, in order to move through users’ Web searching process. (5) Web search interaction was shown to be a multitasking process which included information problems ordering, task switching and task and mental coordinating; also, at a deeper level, cognitive shifts took place. Cognitive coordination was the hinge behaviour linking multitasking and cognitive shifts. Without cognitive coordination, neither multitasking Web searching behaviour nor the complicated mental process of cognitive shifting could occur. The preliminary model was revisited with these empirical findings. A revised theoretical model (MCC Model) was built to illustrate the relationship between multitasking, cognitive coordination and cognitive shifts during Web searching. Implications and limitations of the study are also discussed, along with future research work.
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Houen, Sandra Leanne. "Talk and web searching in an early years classroom." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/54617/1/Sandra_Houen__Thesis.pdf.
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Recent Australian early childhood policy and curriculum guidelines promoting the use of technologies invite investigations of young children’s practices in classrooms. This study examined the practices of one preparatory year classroom, to show teacher and child interactions as they engaged in Web searching. The study investigated the in situ practices of the teacher and children to show how they accomplished the Web search. The data corpus consists of eight hours of videorecorded interactions over three days where children and teachers engaged in Web searching. One episode was selected that showed a teacher and two children undertaking a Web search. The episode is shown to consist of four phases: deciding on a new search subject, inputting the search query, considering the result options, and exploring the selected result. The sociological perspectives of ethnomethodology and conversation analysis were employed as the conceptual and methodological frameworks of the study, to analyse the video-recorded teacher and child interactions as they co-constructed a Web search. Ethnomethodology is concerned with how people make ‘sense’ in everyday interactions, and conversation analysis focuses on the sequential features of interaction to show how the interaction unfolds moment by moment. This extended single case analysis showed how the Web search was accomplished over multiple turns, and how the children and teacher collaboratively engaged in talk.
There are four main findings. The first was that Web searching featured sustained teacher-child interaction, requiring a particular sort of classroom organisation to enable the teacher to work in this sustained way. The second finding was that the teacher’s actions recognised the children’s interactional competence in situ, orchestrating an interactional climate where everyone was heard. The third finding was that the teacher drew upon a range of interactional resources designed to progress the activity at hand, that of accomplishing the Web search. The teacher drew upon the interactional resources of interrogatives, discourse markers, and multi-unit turns during the Web search, and these assisted the teacher and children to co-construct their discussion, decide upon and co-ordinate their future actions, and accomplish the Web search in a timely way. The fourth finding explicates how particular social and pedagogic orders are accomplished through talk, where children collaborated with each other and with the teacher to complete the Web search.
The study makes three key recommendations for the field of early childhood education. The study’s first recommendation is that fine-grained transcription and analysis of interaction aids in understanding interactional practices of Web searching. This study offers material for use in professional development, such as using transcribed and videorecorded interactions to highlight how teachers strategically engage with children, that is, how talk works in classroom settings. Another strategy is to focus on the social interactions of members engaging in Web searches, which is likely to be of interest to teachers as they work to engage with children in an increasingly online environment. The second recommendation involves classroom organisation; how teachers consider and plan for extended periods of time for Web searching, and how teachers accommodate children’s prior knowledge of Web searching in their classrooms. The third recommendation is in relation to future empirical research, with suggested possible topics focusing on the social interactions of children as they engage with peers as they Web search, as well as investigations of techno-literacy skills as children use the Internet in the early years.
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Tseng, Liang-Chun. "Modelling users' contextual querying behaviour for web image searching." Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/61049/1/Liang-Chun_Tseng_Thesis.pdf.
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The rapid growth of visual information on Web has led to immense interest in multimedia information retrieval (MIR). While advancement in MIR systems has achieved some success in specific domains, particularly the content-based approaches, general Web users still struggle to find the images they want.
Despite the success in content-based object recognition or concept extraction, the major problem in current Web image searching remains in the querying process.
Since most online users only express their needs in semantic terms or objects, systems that utilize visual features (e.g., color or texture) to search images create a semantic gap which hinders general users from fully expressing their needs. In addition, query-by-example (QBE) retrieval imposes extra obstacles for exploratory search because users may not always have the representative image at hand or in mind when starting a search (i.e. the page zero problem). As a result, the majority of current online image search engines (e.g., Google, Yahoo, and Flickr) still primarily use textual queries to search.
The problem with query-based retrieval systems is that they only capture users’ information need in terms of formal queries;; the implicit and abstract parts of users’ information needs are inevitably overlooked. Hence, users often struggle to formulate queries that best represent their needs, and some compromises have to be made. Studies of Web search logs suggest that multimedia searches are more difficult than textual Web searches, and Web image searching is the most difficult compared to video or audio searches. Hence, online users need to put in more effort when searching multimedia contents, especially for image searches.
Most interactions in Web image searching occur during query reformulation. While log analysis provides intriguing views on how the majority of users search, their search needs or motivations are ultimately neglected. User studies on image searching have attempted to understand users’ search contexts in terms of users’ background (e.g., knowledge, profession, motivation for search and task types) and the search outcomes (e.g., use of retrieved images, search performance). However, these studies typically focused on particular domains with a selective group of professional users. General users’ Web image searching contexts and behaviors are little understood although they represent the majority of online image searching activities nowadays.
We argue that only by understanding Web image users’ contexts can the current Web search engines further improve their usefulness and provide more efficient searches.
In order to understand users’ search contexts, a user study was conducted based on university students’ Web image searching in News, Travel, and commercial Product domains. The three search domains were deliberately chosen to reflect image users’ interests in people, time, event, location, and objects.
We investigated participants’ Web image searching behavior, with the focus on query reformulation and search strategies. Participants’ search contexts such as their search background, motivation for search, and search outcomes were gathered by questionnaires. The searching activity was recorded with participants’ think aloud data for analyzing significant search patterns. The relationships between participants’ search contexts and corresponding search strategies were discovered by Grounded Theory approach. Our key findings include the following aspects:
- Effects of users' interactive intents on query reformulation patterns and search strategies
- Effects of task domain on task specificity and task difficulty, as well as on some specific searching behaviors
- Effects of searching experience on result expansion strategies
A contextual image searching model was constructed based on these findings. The model helped us understand Web image searching from user perspective, and introduced a context-aware searching paradigm for current retrieval systems. A query recommendation tool was also developed to demonstrate how users’ query reformulation contexts can potentially contribute to more efficient searching.
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Selberg, Erik Warren. "Towards comprehensive Web search /." Thesis, Connect to this title online; UW restricted, 1999. http://hdl.handle.net/1773/6873.
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Mansourian, Yazdan. "Information visibility on the Web and conceptions of success and failure in Web searching." Thesis, University of Sheffield, 2006. http://etheses.whiterose.ac.uk/15101/.
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This thesis reports the procedure and findings of an empirical study about end users' interaction with web-based search tools. The first part is dedicated to address early research questions to discover web user's conceptions of the invisible web. The second part addresses primary research questions to explore web users' conceptualizations of the causes of their search success/failure and their awareness of and reaction to missed information while searching the web. The third part is devoted to a number of emergent research questions to reexamine the dataset in the light of a number of theoretical frameworks including Locus of Control, Self-efficacy, Attribution Theory and Bounded Rationality and Satisficing theory. The data collection was carried out in three phases based on in-depth, open-ended and semi-structured interviews with a sample of academic staff, research staff and research students from three biology-related departments at the University of Sheffield. A combination of inductive and deductive approaches was employed to address three sets of research questions. The first part of analysis which was based on Grounded Theory led to discovery of a new concept called 'information visibility' which does make a distinction between technical objective conceptions of the invisible web that commonly appear in the literature, and a cognitive subjective conception based on searchers' perceptions of search failure. Accordingly, the study introduced a 'model of information visibility on the web' which suggests a complementary definition for the invisible web. Inductive exploration of the data to address the primary research questions culminated in identification of different kinds of success (i.e. anticipated, serendipitous, and unexpected success) and failure (i.e. unexpected, unexplained and inevitable failure). The results also showed that the participants in the study were aware of the possibility of missing some relevant information in their searches and the risk of missing potentially important information is a matter of concern to them. However, regarding the context of each search they have different perceptions of the importance and the volume of missed information and accordingly they react to it differently. In view of that, two matrices including the "matrix of search impact" and the "matrix of search depth" were developed to address users' search behaviours regarding their awareness of and reaction to missed information. The matrix of search impact suggests that there are different perceptions of the risk of missing information including "inconsequential", "tolerable", "damaging" and "disastrous". The matrix of search depth illustrates different search strategies including "minimalist", "opportunistic", "nervous" and "extensive". The third part of the study indicated that Locus of Control and Attribution Theory are useful theoretical frameworks for helping us to better understand web-based information seeking. Furthermore, interpretation of the data with regards to Bounded Rationality and Satisficing theory supported the inductive findings and showed that web users' estimations of the likely volume and importance of missed information affect their decision to persist in searching. At the final stage of the study, an integrative model of information seeking behaviour on the web was developed. This six-layer model incorporates the results of both inductive and deductive stages of the study.
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Li, Fu Min. "Collecting web data for social science research." Thesis, University of Macau, 2018. http://umaclib3.umac.mo/record=b3953492.
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Porter, Brandi. "Information Retrieval Strategies of Millennial Undergraduate Students in Web and Library Database Searches." NSUWorks, 2009. http://nsuworks.nova.edu/gscis_etd/357.
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Millennial students make up a large portion of undergraduate students attending colleges and universities, and they have a variety of online resources available to them to complete academically related information searches, primarily Web based and library-based online information retrieval systems. The content, ease of use, and required search techniques are different between the two information retrieval systems. Students often prefer searching the Web, but in doing so often miss higher quality materials that may be available only through their library. Furthermore, each system uses different information retrieval algorithms for producing results, so proficiency in one search system may not transfer to another.
Web based information retrieval systems are unable to search and retrieve many resources available in libraries and other proprietary information retrieval systems, often referred to as the Invisible Web. These are resources that are not available to the general public and are password protected (from anyone not considered to be an affiliated user of that particular organization). These resources are often licensed to libraries by third party vendors or publishers and include fee-based access to content. Therefore, many millennial students may not be accessing many scholarly resources available to them if they were to use Web based information retrieval systems.
Investigation of how millennial students approach searches for the same topic in both systems was conducted. The goal was to build upon theory of why students search using various techniques, why they often choose the Web for their searches, and what can be done to improve library online information retrieval systems. Mixed qualitative methods of data gathering were used to elicit this information.
The investigation showed that millennial undergraduate students lacked detailed search strategies, and often used the same search techniques regardless of system or subject. Students displayed greater familiarity and ease of use with Web based IR systems than online library IR systems. Results illustrated suggestions for search design enhancements to library online information retrieval systems such as better natural language searching and easier linking to full text articles. Design enhancements based on millennial search strategies should encourage students to use library-based information retrieval systems more often.
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Enríquez, Raído Vanesa. "Web searching for Translation: an Exploratory and multiple-Case-Study." Doctoral thesis, Universitat Ramon Llull, 2011. http://hdl.handle.net/10803/21793.
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En aquest treball exploratori s'estudien les conductes de cercad'informació a la web d'un total de sis participants (quatre estudiants de traducció en el seu primer any d'estudis de postgrau i dos traductors professionals amb tres i 15 anysd'experiència, respectivament). Atès que la necessitat de cercar, recuperar, utilitzar i generar informació depèn, entre molts altres factors, del tipus d'usuari i recerques documentals, aquest estudise centra en les cerques d'informació en línia realitzades a partir de la traducció de l'espanyol a l'anglès de dos textos dedivulgació científica. Els comportaments de recerca d'informació en línia dels participants de l'estudi s'analitzen per tant en relació a una sèrie de característiques textuals (encàrrec de traducció i text d'origen) i qualitats personals (nivell de coneixement sobre la temàtica de traducció, i nivell de coneixement i experiència tanten el camp de la traducció com en la recerca d'informació en línia). Tot i que s'han recopilat dades de tots els participants de l'estudi pel que fa a la primera tasca de traducció, les dades relatives a la segona tasca de traducció corresponen només als estudiants de traducció.En este trabajo exploratorio se estudian las conductas de búsqueda de información en la Web de un total de seis participantes (cuatro estudiantes de traducción en su primer año de estudios de postgrado y dos traductores profesionales con tres y 15 años de experiencia, respectivamente). Dado que la necesidad de buscar, recuperar, utilizar y generar información depende, entre otros muchos factores, del tipo de usuario y búsquedas documentales, este estudio se centra en las búsquedas de información en línea realizadas a partir de la traducción del español al inglés de dos textos de divulgación científica. Los comportamientos de búsqueda de información de los participantes del estudio se analizan por tanto en relación a una serie de características textuales (encargo de traducción y texto de origen) y cualidades personales (nivel de conocimiento sobre la temática de traducción, y nivel de conocimiento y experiencia tanto en el campo de la traducción como en la búsqueda de información en línea). Si bien todos los participantes del estudio realizaron la primera tarea de traducción, solo los estudiantes llevaron a cabo la segunda tarea de traducción.
This multiple-case study explores the Web search behaviors of a total of six participants. These include a naturally occurring sample of four postgraduate translation trainees (in their first year of studies) who enrolled in an introductory course on technical and scientific translation, and two additional subjects (a PhD student of translation with three years of casual professional translation experience and a translation teacher with over 15 years of experience in the discipline) who participated in a pilot study conducted prior to the main study. Given that the need to seek, retrieve, use, and generate translation information depends on the type of users and the translation tasks performed, the study focuses on two specific tasks dealing with the translation of two popular-science texts from Spanish into English. In particular, the study examines the online search behaviors of all participants in relation to a number of translation task attributes (text type and translation brief) as well as user attributes (translation expertise, Web search expertise, and domain knowledge). While for the first task data was obtained from all six research participants, the second task was only carried out by the four translation trainees.
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Tan, Kok Fong. "Extending information retrieval system model to improve interactive web searching." Thesis, Middlesex University, 2005. http://eprints.mdx.ac.uk/8027/.
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The research set out with the broad objective of developing new tools to support Web information searching. A survey showed that a substantial number of interactive search tools were being developed but little work on how these new developments fitted into the general aim of helping people find information. Due to this it proved difficult to compare and analyse how tools help and affect users and where they belong in a general scheme of information search tools. A key reason for a lack of better information searching tools was identified in the ill-suited nature of existing information retrieval system models. The traditional information retrieval model is extended by synthesising work in information retrieval and information seeking research. The purpose of this new holistic search model is to assist information system practitioners in identifying, hypothesising, designing and evaluating Web information searching tools. Using the model, a term relevance feedback tool called 'Tag and Keyword' (TKy) was developed in a Web browser and it was hypothesised that it could improve query reformulation and reduce unnecessary browsing. The tool was laboratory experimented and quantitative analysis showed statistical significances in increased query reformulations and in reduced Web browsing (per query). Subjects were interviewed after the experiment and qualitative analysis revealed that they found the tool useful and saved time. Interestingly, exploratory analysis on collected data identified three different methods in which subjects had utilised the TKy tool. The research developed a holistic search model for Web searching and demonstrated that it can be used to hypothesise, design and evaluate information searching tools. Information system practitioners using it can better understand the context in which their search tools are developed and how these relate to users' search processes and other search tools.
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Dreilinger, Daniel Ethan 1970. "Scale free information retrieval : visually searching and navigating the web." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/61097.
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Lazarinis, Fotis. "Text extraction and Web searching in a non-Latin language." Thesis, University of Sunderland, 2008. http://sure.sunderland.ac.uk/3326/.
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Recent studies of queries submitted to Internet Search Engines have shown that non-English queries and unclassifiable queries have nearly tripled during the last decade. Most search engines were originally engineered for English. They do not take full account of inflectional semantics nor, for example, diacritics or the use of capitals which is a common feature in languages other than English. The literature concludes that searching using non-English and non-Latin based queries results in lower success and requires additional user effort to achieve acceptable precision. The primary aim of this research study is to develop an evaluation methodology for identifying the shortcomings and measuring the effectiveness of search engines with non-English queries. It also proposes a number of solutions for the existing situation. A Greek query log is analyzed considering the morphological features of the Greek language. Also a text extraction experiment revealed some problems related to the encoding and the morphological and grammatical differences among semantically equivalent Greek terms. A first stopword list for Greek based on a domain independent collection has been produced and its application in Web searching has been studied. The effect of lemmatization of query terms and the factors influencing text based image retrieval in Greek are also studied. Finally, an instructional strategy is presented for teaching non-English students how to effectively utilize search engines. The evaluation of the capabilities of the search engines showed that international and nationwide search engines ignore most of the linguistic idiosyncrasies of Greek and other complex European languages. There is a lack of freely available non-English resources to work with (test corpus, linguistic resources, etc). The research showed that the application of standard IR techniques, such as stopword removal, stemming, lemmatization and query expansion, in Greek Web searching increases precision. ii
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Chau, Michael C. "Searching and mining the Web for personalized and specialized information." Diss., The University of Arizona, 2003. http://hdl.handle.net/10150/280260.
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With the rapid growth of the Web, users are often faced with the problem of information overload and find it difficult to search for relevant and useful information on the Web. Besides general-purpose search engines, there exist some alternative approaches that can help users perform searches on the Web more effectively and efficiently. Personalized search agents and specialized search engines are two such approaches. The goal of this dissertation is to study how machine learning and artificial intelligence techniques can be used to improve these approaches. A system development research process was adopted as the methodology in this dissertation. In the first part of the dissertation, five different personalized search agents, namely CI Spider, Meta Spider, Cancer Spider, Nano Spider, and Collaborative Spider, were developed. These spiders combine Web searching with various techniques such as noun phrasing, text clustering, and multi-agent technologies to help satisfy users' information needs in different domains and different contexts. Individual experiments were designed and conducted to evaluate the proposed approach and the experimental results showed that the prototype systems performed better than or comparable to traditional search methods. The second part of the dissertation aims to investigate how artificial intelligence techniques can be used to facilitate the development of specialized search engines. A Hopfield Net spider was proposed to locate from the Web URLs that are relevant to a given domain. A feature-based machine-learning text classifier also was proposed to perform filtering on Web pages. A prototype system was built for each approach. Both systems were evaluated and the results demonstrated that they both outperformed traditional approaches. This dissertation has two main contributions. Firstly, it demonstrated how machine learning and artificial intelligence techniques can be used to improve and enhance the development of personalized search agents and specialized search engines. Secondly, it provided a set of tools that can facilitate users in their Web searching and Web mining activities in various contexts.
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Tonkin, Emma. "Searching the long tail: Hidden structure in social tagging." dLIST, 2006. http://hdl.handle.net/10150/105565.
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In this paper we explore a method of decomposition of compound tags found in social tagging systems and outline several results, including improvement of search indexes, extraction of semantic information, and benefits to usability. Analysis of tagging habits demonstrates that social tagging systems such as del.icio.us and flickr include both formal metadata, such as geotags, and informally created metadata, such as annotations and descriptions. The majority of tags represent informal metadata; that is, they are not structured according to a formal model, nor do they correspond to a formal ontology.
Statistical exploration of the main tag corpus demonstrates that such searches use only a subset of the available tags; for example, many tags are composed as ad hoc compounds of terms. In order to improve accuracy of searching across the data contained within these tags, a method must be employed to decompose compounds in such a way that there is a high degree of confidence in the result. An approach to decomposition of English-language compounds, designed for use within a small initial sample tagset, is described. Possible decompositions are identified from a generous wordlist, subject to selective lexicon snipping. In order to identify the most likely, a Bayesian classifier is used across term elements. To compensate for the limited sample set, a word classifier is employed and the results classified using a similar method, resulting in a successful classification rate of 88%, and a false negative rate of only 1%.
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Chen, Hsinchun, Ann M. Lally, Bin Zhu, and Michael Chau. "HelpfulMed: Intelligent Searching for Medical Information over the Internet." Wiley Periodicals, Inc, 2003. http://hdl.handle.net/10150/105202.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaMedical professionals and researchers need information from reputable sources to accomplish their work. Unfortunately, the Web has a large number of documents that are irrelevant to their work, even those documents that purport to be â medically-related.â This paper describes an architecture designed to integrate advanced searching and indexing algorithms, an automatic thesaurus, or â concept space,â and Kohonen-based Self-Organizing Map (SOM) technologies to provide searchers with finegrained results. Initial results indicate that these systems provide complementary retrieval functionalities. HelpfulMed not only allows users to search Web pages and other online databases, but also allows them to build searches through the use of an automatic thesaurus and browse a graphical display of medical-related topics. Evaluation results for each of the different components are included. Our spidering algorithm outperformed both breadth-first search and PageRank spiders on a test collection of 100,000 Web pages. The automatically generated thesaurus performed as well as both MeSH and UMLSâ systems which require human mediation for currency. Lastly, a variant of the Kohonen SOM was comparable to MeSH terms in perceived cluster precision and significantly better at perceived cluster recall.
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Yee, Ka-chi, and 余家智. "Keyword search on huge RDF graph." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2010. http://hub.hku.hk/bib/B46288478.
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李莉華 and Lei-wah Lee. "On improving the relevancy ranking algorithm in web search engine." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31222973.
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Lee, Lei-wah. "On improving the relevancy ranking algorithm in web search engine /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21607448.
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吳志遠 and Chi-yuen Ng. "Recommending information sources on WWW." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31224970.
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Ng, Chi-yuen. "Recommending information sources on WWW." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B23273306.
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Edwards, Sylvia Lauretta. "Panning for gold: influencing the experience of web-based information searching." Queensland University of Technology, 2005. http://eprints.qut.edu.au/16168/.
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Reporting the findings from a phenomenographic study of students' experiences of web-based information searching, this thesis describes how the identified four conceptions, and their structures of awareness, might influence future information literacy curriculum design and web based resources for academics, librarians, and students. Alongside the reported study in this thesis, the first electronic outcome space is also outlined and presented. This electronic outcome space is an enhancement to ways of presenting phenomenographic study findings. Using a phenomenographic approach, the project aimed to uncover variation in students' experiences of web-based information searching. Data gathering during 2000 - 2003 involved investigations of student diary work, video-filmed searching using a think-aloud protocol, and a series of interviews conducted over several semesters. Incorporating first year, third year, and postgraduate student perspectives, the participants, who were from the Queensland University of Technology, came from six of the eight university faculties. Different cultures, ages and genders were represented. During the interviews the students were asked to describe a recent search experience, and to describe how they learn to search for information using various web-based tools. Careful attention was paid during interviews to asking students to explain their interpretation of key concepts in the subject area. Analysis involved an iterative process of seeking meaning and structure. Amongst the group of students interviewed, four categories of explicit variation were discovered and these have been described drawing largely from the words of the participants. Two categories of implicit variation are also proposed. Each explicit category is presented in terms of referential and structural components constituted in terms of the critical dimensions of variation including focal elements, approaches to learning, and reflective practice. The possibility of implicit categories is proposed based on the findings and on the levels of IT skill amongst participants. The study also sought to explore how this type of research into student learning can influence both the design of learning experiences and academic development resources, particularly in relation to teaching and learning information searching as part of the information literacy agenda. Using the categories of description, which showed the variations in student's web-based information searching experiences, it is hoped that the further research outlined will enlighten attempts to design existing assessment to work more effectively, to bring about desired changes in students' experiences of information searching behaviour. The structure of awareness section of each category has revealed the elements that need to be attended to in re-designing assessment. It is hoped that in modifying assignments it will enable the simultaneous attention of students to the already identified relevant dimensions of the information searching experience.
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Morrison, Patrick Jason. "Tagging and Searching: Search Retrieval Effectiveness of Folksonomies on the Web." [Kent, Ohio] : Kent State University, 2007. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=kent1177305096.
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Thesis (M.S.)--Kent State University, 2007.Title from PDF t.p. (viewed July 2, 2007). Advisor: David B. Robins. Keywords: information retrieval, search engine, social bookmarking, tagging, folksonomy, Internet, World Wide Web. Includes survey instrument. Includes bibliographical references (p. 137-141).
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Edwards, Sylvia L. "Panning for gold: influencing the experience of web-based information searching." Thesis, Queensland University of Technology, 2005. https://eprints.qut.edu.au/16168/1/Sylvia_Edwards_Thesis.pdf.
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Reporting the findings from a phenomenographic study of students' experiences of web-based information searching, this thesis describes how the identified four conceptions, and their structures of awareness, might influence future information literacy curriculum design and web based resources for academics, librarians, and students. Alongside the reported study in this thesis, the first electronic outcome space is also outlined and presented. This electronic outcome space is an enhancement to ways of presenting phenomenographic study findings.
Using a phenomenographic approach, the project aimed to uncover variation in students' experiences of web-based information searching. Data gathering during 2000 - 2003 involved investigations of student diary work, video-filmed searching using a think-aloud protocol, and a series of interviews conducted over several semesters. Incorporating first year, third year, and postgraduate student perspectives, the participants, who were from the Queensland University of Technology, came from six of the eight university faculties. Different cultures, ages and genders were represented. During the interviews the students were asked to describe a recent search experience, and to describe how they learn to search for information using various web-based tools. Careful attention was paid during interviews to asking students to explain their interpretation of key concepts in the subject area.
Analysis involved an iterative process of seeking meaning and structure. Amongst the group of students interviewed, four categories of explicit variation were discovered and these have been described drawing largely from the words of the participants. Two categories of implicit variation are also proposed. Each explicit category is presented in terms of referential and structural components constituted in terms of the critical dimensions of variation including focal elements, approaches to learning, and reflective practice. The possibility of implicit categories is proposed based on the findings and on the levels of IT skill amongst participants.
The study also sought to explore how this type of research into student learning can influence both the design of learning experiences and academic development resources, particularly in relation to teaching and learning information searching as part of the information literacy agenda.
Using the categories of description, which showed the variations in student's web-based information searching experiences, it is hoped that the further research outlined will enlighten attempts to design existing assessment to work more effectively, to bring about desired changes in students' experiences of information searching behaviour. The structure of awareness section of each category has revealed the elements that need to be attended to in re-designing assessment. It is hoped that in modifying assignments it will enable the simultaneous attention of students to the already identified relevant dimensions of the information searching experience.
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Han, Wei. "Wrapper application generation for semantic web." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/5407.
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Tambuwal, Ahmed Yusuf. "New startup mechanisms for faster web response time on lossy and long-delay Internet paths." Thesis, University of Aberdeen, 2013. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=204056.
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The present Internet is used to support a diversity of application types, each with different performance expectations. Latency is a fundamental component that affects end-user's Internet experience. Many applications can benefit from reduced latency. The thesis examines the startup latency of the Standard Transmission Control Protocol (TCP Reno) congestion control algorithm when used for short-lived interactive applications. TCP plays a key role in preventing Internet failure by decreasing network utilization when it detects packet drops or receives explicit congestion signals. TCP Reno senders react to congestion by reducing their rate by approximately half. When a flow has recently started, TCP Reno has no way to determine the available capacity, and uses a conservative startup method that can result in high latency for short-lived interactive applications with only a small amount of data to send. This is especially so when there is loss of the connection setup packet before a flow starts. This thesis therefore proposes a new algorithm called TCP SYN Loss (TSL) Startup Algorithm that uses a halving congestion response function during startup, which is less conservative than the current method. After connection setup is completed, standard TCP congestion control is applied for the data transfer phase. The new method is shown to significantly reduce web response time by increasing TCP Reno robustness against startup loss. Startup latency also affects users who rely on broadband satellite for Internet access. Application performance is impacted by the delay of bandwidth-on-demand (BoD) multiple access control (MAC) protocol at the start of a TCP flow when there are no prior capacity assignments. This thesis proposes a new method that combines Random Access (RA) and BoD to reduce web response time and startup delay of media streaming over satellite. Furthermore, a modified algorithm called the Split RADAMA protocol was designed to avoid the negative transport effects when switching between RA and BoD transmissions e.g. packet reordering and spurious retransmission. Together the proposed methods can significantly improve web experience for a wide range of end-users by reducing the response time for short-lived interactive applications.
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Chen, Hsinchun, Yi-Ming Chung, Marshall C. Ramsey, and Christopher C. Yang. "An intelligent personal spider (agent) for dynamic Internet/Intranet searching." Science Direct, 1998. http://hdl.handle.net/10150/105238.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaAs Internet services based on the World-Wide Web become more popular, information overload has become a pressing research problem. Difficulties with search on Internet will worsen as the amount of on-line information increases. A scalable approach to Internet search is critical to the success of Internet services and other current and future National Information Infrastructure (NII) applications. As part of the ongoing Illinois Digital Library Initiative project, this research proposes an intelligent personal spider (agent) approach to Internet searching. The approach, which is grounded on automatic textual analysis and general-purpose search algorithms, is expected to be an improvement over the current static and inefficient Internet searches. In this experiment, we implemented Internet personal spiders based on best first search and genetic algorithm techniques. These personal spiders can dynamically take a user's selected starting homepages and search for the most closely related homepages in the web, based on the links and keyword indexing. A plain, static CGI/HTML-based interface was developed earlier, followed by a recent enhancement of a graphical, dynamic Java-based interface. Preliminary evaluation results and two working prototypes (available for Web access) are presented. Although the examples and evaluations presented are mainly based on Internet applications, the applicability of the proposed techniques to the potentially more rewarding Intranet applications should be obvious. In particular, we believe the proposed agent design can be used to locate organization-wide information, to gather new, time-critical organizational information, and to support team-building and communication in Intranets.
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Cothey, Viv. "Searching or surfing : how do students who use the Web locate information resources?" Thesis, University of Bristol, 2002. http://hdl.handle.net/1983/b0f2d42d-0d2f-4c3c-a406-1ff04f6324a2.
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This investigation is a large scale study of the real world Web information seeking activity of 1,050 full-time undergraduates studying at a UK higher education institution. The study takes the form of a transaction log analysis of a Web log which records over a two year period all the 1,990,488 URLs requested by the students during 46,558 daily sessions. The analysis focuses on how individual students seek Web information. This is made possible by each user being (anonymously) identified throughout the Web log. Both longitudinal and non-longitudinal or repeat study analyses are undertaken. The analyses make use of a novel session-conformance metric which measures the similarity/dissimilarity of the collection of Website requests made during each session. Over time student-users become more individually distinctive in respect of their 'Web territories' or the collections of Websites which they visit and revisit during each session. Student-users become more territorial in that they increasingly locate their Web information resources from within their own Web territories. 'Searching' occurs in only half of all sessions and student-users undertake less 'searching' as their Web territories become more strongly developed. These findings are interpreted using the notion of a personal Web information infrastructure which is based on Marchionini's idea of a personal information infrastructure (Marchionini, 1995). A student-user's personal Web information infrastructure is represented by his (or her) territory. As student-users become more proficient at locating Web information resources to satisfy their individual information needs so they build or strengthen their personal Web information infrastructures.
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Chen, Shih-Kwang. "Searching for information on occupational accidents." Columbus, Ohio : Ohio State University, 2008. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1218551186.
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Langford, James David. "Accessing Information on the World Wide Web: Predicting Usage Based on Involvement." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4198/.
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Advice for Web designers often includes an admonition to use short, scannable, bullet-pointed text, reflecting the common belief that browsing the Web most often involves scanning rather than reading. Literature from several disciplines focuses on the myriad combinations of factors related to online reading but studies of the users' interests and motivations appear to offer a more promising avenue for understanding how users utilize information on Web pages. This study utilized the modified Personal Involvement Inventory (PII), a ten-item instrument used primarily in the marketing and advertising fields, to measure interest and motivation toward a topic presented on the Web. Two sites were constructed from Reader's Digest Association, Inc. online articles and a program written to track students' use of the site. Behavior was measured by the initial choice of short versus longer versions of the main page, the number of pages visited and the amount of time spent on the site. Data were gathered from students at a small, private university in the southwest part of the United States to answer six hypotheses which posited that subjects with higher involvement in a topic presented on the Web and a more positive attitude toward the Web would tend to select the longer text version, visit more pages, and spend more time on the site. While attitude toward the Web did not correlate significantly with any of the behavioral factors, the level of involvement was associated with the use of the sites in two of three hypotheses, but only partially in the manner hypothesized. Increased involvement with a Web topic did correlate with the choice of a longer, more detailed initial Web page, but was inversely related to the number of pages viewed so that the higher the involvement, the fewer pages visited. An additional indicator of usage, the average amount of time spent on each page, was measured and revealed that more involved users spent more time on each page.
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Popescu, Ana-Maria. "Information extraction from unstructured web text /." Thesis, Connect to this title online; UW restricted, 2007. http://hdl.handle.net/1773/6935.
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Zhang, Hao. "Querying databases a tale of two C# approaches /." Click here for download, 2010. http://proquest.umi.com.ps2.villanova.edu/pqdweb?did=2019786971&sid=1&Fmt=2&clientId=3260&RQT=309&VName=PQD.
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Leroy, Gondy, Ann M. Lally, and Hsinchun Chen. "The Use of Dynamic Contexts to Improve Casual Internet Searching." ACM, 2003. http://hdl.handle.net/10150/106376.
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Artificial Intelligence Lab, Department of MIS, University of ArizonaResearch has shown that most usersâ online information searches are suboptimal. Query optimization based on a relevance feedback or genetic algorithm using dynamic query contexts can help casual users search the Internet. These algorithms can draw on implicit user feedback based on the surrounding links and text in a search engine result set to expand user queries with a variable number of keywords in two manners. Positive expansion adds terms to a userâ s keywords with a Boolean â and,â negative expansion adds terms to the userâ s keywords with a Boolean â not.â Each algorithm was examined for three user groups, high, middle, and low achievers, who were classified according to their overall performance. The interactions of users with different levels of expertise with different expansion types or algorithms were evaluated. The genetic algorithm with negative expansion tripled recall and doubled precision for low achievers, but high achievers displayed an opposed trend and seemed to be hindered in this condition. The effect of other conditions was less substantial.
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Mbikiwa, Fernie Neo. "Search engine exclusion policies: implications on indexing e-commerce websites." Thesis, [S.l. : s.n.], 2005. http://dk.cput.ac.za/cgi/viewcontent.cgi?article=1080&context=td_cput.
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Ngindana, Mongezi. "Visibility of e-commerce websites to search engines : a comparison between text-based and graphic-based hyperlinks /." Thesis, Click here for online access, 2006. http://dk.cput.ac.za/cgi/viewcontent.cgi?article=1081&context=td_cput.
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Tillwick, Heiko Mark. "Polar proxies collaborating to achieve anonymous web browsing /." Diss., Pretoria : [s.n.], 2007. http://upetd.up.ac.za/thesis/available/etd-07052007-115229.
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Yang, Shanning. "An object-oriented model-based approach for searching and querying the World Wide Web." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0015/MQ54762.pdf.
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Cusano, Carol. "Visually Searching the World Wide Web for Content: A Study of Two Search Interfaces." NSUWorks, 2002. http://nsuworks.nova.edu/gscis_etd/476.
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The vast amount of data available over the World Wide Web has created the necessity for new initiatives that translate this data into useful information for users. Due to human's acute visual perception, applications that utilize information visualization CIV) methodologies may ease user frustration when facing an abundance of search results from an Internet query. The recent introduction of ditto.com, an Internet search engine that provides users with a graphical depiction of search results documents, is a recent initiative that employs IV methodologies.
This research is based upon the usability of traditional information retrieval systems and Internet search applications, and the impact IV methodologies have had on these systems. A usability evaluation was recently implemented to determine if IV methodologies can facilitate users' search needs when searching for information over the Internet. Fifteen randomly selected participants that match the diversity of Web users were asked to compare two Internet search results interfaces: Yahoo! a search engine that provides users with text-based search results and the graphical displays found within ditto.com.
Descriptive data was collected through usability questionnaires and observing users search for information. Measurable data was collected by testing the performance of each search engine as the users search for ready-reference questions. Time to complete search tasks, the accuracy of the tasks, and number of error rates was collected from this session. Users were asked to provide their preference for one of the search engines. The data was analyzed for mean averages, occurrence of specific incidents that help or hindered users, and distribution of results with user experience. The results of this study are presented in a narrative report of users' preferences and concerns.
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Wan-Chik, Rita Zaharah. "Religious information seeking on the Web : a study of Islamic and Qur’anic information searching." Thesis, University of Sheffield, 2013. http://etheses.whiterose.ac.uk/4791/.
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Hodkinson, Christopher Stuart. "An exploratory study of World Wide Web consumer external information search behaviour /." [St. Lucia, Qld.], 2001. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe16915.pdf.
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El-Sayed, Maged F. "An efficient and incremental system to mine contiguous frequent sequences." Link to electronic thesis, 2004. http://www.wpi.edu/Pubs/ETD/Available/etd-0130104-115506.
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Pannu, M. "The impact of modes of mediation on the web retrieval process." Thesis, Coventry University, 2011. http://curve.coventry.ac.uk/open/items/1837efea-38df-4453-af05-7e59ef2de353/1.
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This research is an integral part of the effort aimed at overcoming the limitations of the classic search engines. This thesis is concerned with the investigation of the impact of different modes of mediation on the web search process. Conceptually, it is divided into three main parts. The first part details the investigation of methods and mechanisms in user profile generation and in filtering search results. The second part deals with the presentation of an approach and its application in the development of a mediation framework between the user and the classic Web Search engines. This involved the integration of the explicit, implicit and hybrid modes of mediation within a content-based method, and was facilitated by the adoption of the Vector Space Model. The third part presents an extensive comparative evaluation of the impact of the different types of mediation systems on web search, in terms of precision, recall and F-measure. The thesis concludes by identifying the contribution of the research programme and the satisfaction of the stated objectives.
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Cheng, Chung-chee, and 鄭頌慈. "Strategies for students to seek information on the web: an action research." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2003. http://hub.hku.hk/bib/B29399555.
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