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Lyon
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-1-4577-1373-6
pp: 297-300
ABSTRACT
The difficulty of finding relevant information in the Web is increasing as web repositories grow in size. We propose a novel approach for navigation in the Semantic Web, which helps users find relevant information and enables them to browse similar and/or related resources. We achieve this via view-based search using navigation in a two-dimensional graph, which has the advantage of visualizing dependencies between results. We address problems with readability and understandability via adaptive views, result clustering, facet marking, next action recommendation and zoom-based navigation.
INDEX TERMS
Semantic Web, navigation, adaptive views, results clustering, graph visualization
CITATION
Karol R´stocný, Michal Tvarožek, M´ria Bielikov´, "Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation", WI-IAT, 2011, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies, 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies 2011, pp. 297-300, doi:10.1109/WI-IAT.2011.164
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