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Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Lyon, France
Aug. 22, 2011 to Aug. 27, 2011
ISBN: 978-0-7695-4513-4
pp: 297-300
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.
Semantic Web, navigation, adaptive views, results clustering, graph visualization

K. R´stocný, M. Bielikov´ and M. Tvarožek, "Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation," 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies(WI-IAT), Lyon, 2011, pp. 297-300.
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