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

Authors
  • I. Fahmi
  • J. Zhang
  • H. Ellermann
  • G. Bouma
Publication date 2007
Host editors
  • E. Franconi
  • M. Kifer
  • W. May
Book title The Semantic Web: Research and Applications
Book subtitle 4th European Semantic Web Conference, ESWC 2007, Innsbruck, Austria, June 3-7, 2007 : proceedings
ISBN
  • 9783540726661
ISBN (electronic)
  • 9783540726678
Series Lecture Notes in Computer Science
Event 4th European Semantic Web Conference, ESWC 2007, Innsbruck, Austria
Pages (from-to) 769-778
Publisher Berlin: Springer
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
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.
Document type Conference contribution
Language English
Published at
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