SemSearch: A Search Engine for the Semantic Web

  • Yuangui Lei
  • Victoria Uren
  • Enrico Motta
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4248)


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.


Search Engine Query Language Complex Query User Query Formal Query 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yuangui Lei
    • 1
  • Victoria Uren
    • 1
  • Enrico Motta
    • 1
  1. 1.Knowledge Media Institute (KMi)The Open UniversityMilton Keynes

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