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2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology
Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation
Lyon, France
August 22-August 27
ISBN: 978-0-7695-4513-4
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, vol. 3, pp.297-300, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011
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