SemSearch: a search engine for the semantic web

  • Authors:
  • Yuangui Lei;Victoria Uren;Enrico Motta

  • Affiliations:
  • Knowledge Media Institute (KMi), The Open University, Milton Keynes;Knowledge Media Institute (KMi), The Open University, Milton Keynes;Knowledge Media Institute (KMi), The Open University, Milton Keynes

  • Venue:
  • EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
  • Year:
  • 2006

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Abstract

Existing semantic search tools have been primarily designed to enhance the performance of traditional search technologies but with little support for ordinary end users who are not necessarily familiar with domain specific semantic data, ontologies, or SQL-like query languages. This paper presents SemSearch, a search engine, which pays special attention to this issue by providing several means to hide the complexity of semantic search from end users and thus make it easy to use and effective.