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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
| ASCII Text | x | ||
| Karol R´stocný, Michal Tvarožek, M´ria Bielikov´, "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. 3, pp. 297-300, 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology, 2011. | |||
| BibTex | x | ||
| @article{ 10.1109/WI-IAT.2011.164, author = {Karol R´stocný and Michal Tvarožek and M´ria Bielikov´}, title = {Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation}, journal ={Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on}, volume = {3}, year = {2011}, isbn = {978-0-7695-4513-4}, pages = {297-300}, doi = {http://doi.ieeecomputersociety.org/10.1109/WI-IAT.2011.164}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - CONF JO - Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on TI - Supporting Search Result Browsing and Exploration via Cluster-Based Views and Zoom-Based Navigation SN - 978-0-7695-4513-4 SP297 EP300 A1 - Karol R´stocný, A1 - Michal Tvarožek, A1 - M´ria Bielikov´, PY - 2011 KW - Semantic Web KW - navigation KW - adaptive views KW - results clustering KW - graph visualization VL - 3 JA - Web Intelligence and Intelligent Agent Technology, IEEE/WIC/ACM International Conference on ER - | |||
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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