WEBCONTENT VISUALIZER: A VISUALIZATION SYSTEM FOR SEARCH ENGINES IN SEMATIC WEB

Xianyong Fang (), Christian Jacquemin () and Frédéric Vernier ()
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Xianyong Fang: School of Computer Science and Technology, Anhui University, Hefei 230039, P. R. China;
Christian Jacquemin: LIMSI-CNRS, Orsay 91403, France
Frédéric Vernier: LIMSI-CNRS, Orsay 91403, France

International Journal of Information Technology & Decision Making (IJITDM), 2011, vol. 10, issue 05, 913-931

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.

Keywords: Search engine visualization; Semantic Web; document metadata; carousel stack; Bezier surface link (search for similar items in EconPapers)
Date: 2011
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DOI: 10.1142/S0219622011004646

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