elektronická verzia publikácie - FIIT STU
elektronická verzia publikácie - FIIT STU
elektronická verzia publikácie - FIIT STU
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22 <strong>STU</strong> 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)