Snippet Generation for Semantic Web Search Engines

  • Authors:

  • Thomas Penin;Haofen Wang;Thanh Tran;Yong Yu

  • Affiliations:

  • Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240;Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240;Institute AIFB, Universität Karlsruhe, Germany;Department of Computer Science & Engineering, Shanghai Jiao Tong University, Shanghai, China 200240

  • Venue:
  • ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
  • Year:
  • 2008

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Abstract

With the development of the Semantic Web, more and more ontologies are available for exploitation by semantic search engines. However, while semantic search engines support the retrieval of candidate ontologies, the final selection of the most appropriate ontology is still difficult for the end users. In this paper, we extend existing work on ontology summarization to support the presentation of ontology snippets. The proposed solution leverages a new semantic similarity measure to generate snippets that are based on the given query. Experimental results have shown the potential of our solution in this problem domain that is largely unexplored so far.