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2007
Springer

SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web

10 years 3 months ago
SWHi System Description: A Case Study in Information Retrieval, Inference, and Visualization in the Semantic Web
Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its features with some features from search engines. In this paper, we describe methods for indexing and searching a populated ontology by using an information retrieval tool; its results are enriched with inference. For visualization purposes, all of the retrieved ontology instances are clustered based on their classes; and the clusters are linked using instance properties. The approach is illustrated using our SWHi (Semantic Web for History) prototype as a case study.
Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse B
Added 19 Oct 2010
Updated 19 Oct 2010
Type Conference
Year 2007
Where ESWS
Authors Ismail Fahmi, Junte Zhang, Henk Ellermann, Gosse Bouma
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