Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on (2011)
Aug. 22, 2011 to Aug. 27, 2011
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
Karol R´stocný, M´ria Bielikov´, Michal Tvarožek, "Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation", Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on, vol. 03, no. , pp. 297-300, 2011, doi:10.1109/WI-IAT.2011.164