Author
Listed:
- XIANYONG FANG
(School of Computer Science and Technology, Anhui University, Hefei 230039, P. R. China;
LIMSI-CNRS, Orsay 91403, France)
- CHRISTIAN JACQUEMIN
(LIMSI-CNRS, Orsay 91403, France)
- FRÉDÉRIC VERNIER
(LIMSI-CNRS, Orsay 91403, France)
Abstract
Since the results from Semantic Web search engines are highly structured XML documents, they cannot be efficiently visualized with traditional explorers. Therefore, the Semantic Web calls for a new generation of search query visualizers that can rely on document metadata. This paper introduces such a visualization system called WebContent Visualizer that is used to display and browse search engine results. The visualization is organized into three levels: (1) Carousels contain documents with the same ranking, (2) carousels are piled into stacks, one for each date, and (3) these stacks are organized along a meta-carousel to display the results for several dates. Carousel stacks are piles of local carousels with increasing radii to visualize the ranks of classes. For document comparison, colored links connect documents between neighboring classes on the basis of shared entities. Based on these techniques, the interface is made of three collaborative components: an inspector window, a visualization panel, and a detailed dialog component. With this architecture, the system is intended to offer an efficient way to explore the results returned by Semantic Web search engines.
Suggested Citation
Xianyong Fang & Christian Jacquemin & Frédéric Vernier, 2011.
"Webcontent Visualizer: A Visualization System For Search Engines In Sematic Web,"
International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 10(05), pages 913-931.
Handle:
RePEc:wsi:ijitdm:v:10:y:2011:i:05:n:s0219622011004646
DOI: 10.1142/S0219622011004646
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