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22 STU Faculty of Informatics and Information TechnologiesStudent name: Karol RástočnýThesis title: Semantic Web Navigation Based on Adaptive ViewsSupervisor: Michal Tvarožek, PhD.Defended on: May 2011Degree program: Software EngineeringAnnotation: The difficulty of finding relevant information in the Web is increasingas web repositories grow in size. We proposed a novel approach fornavigation in the Semantic Web, which helps users find relevant informationand enables them to browse similar and/or related resources.We achieve this via view-based search within the SemanticWeb using navigation in a two-dimensional graph, which has the advantageof visualizing dependencies between results. Typical tools forSemantic Web browsing that employ graph-based approaches hasproblems with readability and understandability. We address theseproblems via adaptive views, result clustering, facet marking, next actionrecommendation and zoom-based navigation. We realized a prototypeof the proposed navigation approach in the Semantic Web byimplementing it as a plug-in for the faceted browser Factic. We nextevaluated our approach via several experiments with real-world users.Assoc. Prof. Margaréta KotočováVice-Dean for Education (first and second levels)Prof. Mária BielikováVice-Dean for Research (including the third level education)
4 Research4.1 Research AreasThe economic and social development is featured by an exponential growth of new scientificknowledge today. Informatics and information technologies are playing the key role.They boost the development of all scientific branches with the creation of new methodologicalbase to do research and development. The development time decreases and the traditionaltheoretical and experimental abilities are extended broadly.Informatics has developed to be an autonomous scientific area, which supports success notonly in the branch of information technologies, but it also has wide consequences as forthe lives of individuals and society. It is not a mere coincidence that research in the IITarea has become the priority among the research topics in the European Union.Research at FIIT STU is oriented on these main research areas that respect the organisation,existing technical and laboratory equipment and professional skills:− intelligent information analysis and processing in large information spaces, e.g.the World Wide Web,− personalized context-aware information and knowledge retrieval andrecommendation for the adaptive social semantic web,− methods for distributed information processing,− advanced methods and tools for software systems design, development andintegration,− computer vision and computer graphics in virtual and augmented reality systems,− advanced methods of computational intelligence oriented to “echo state” neuralnetworks, recurrent neural networks, evolutionary algorithms,− methods and tools for security and administration of network and mobile computersystems,− methods and tools for mobile computing,− formal specification and automated engineering tasks in the area of HW/SW codesignof the mobile computing systems,− security, reliability and fault tolerance in distributed computer systems and mobilecomputer networks,− methods for improvement of quality of service in the Next Generation Networks,− design of digital systems and embedded systems.23
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elektronickÃ¡ verzia publikÃ¡cie - FIIT STU

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