The Community for Technology Leaders
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
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, 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
104 ms
(Ver 3.1 (10032016))