CSDL Home W WI-IAT 2011 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies
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, 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