Semantic Web for Search

  • Jessica Gronski
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5823)


Semantic Web data seems like a promising source of information for improving search. While there is some literature about how semantic data should be used to enhance search, there are no positive conclusions about the best approach. This paper surveys existing approaches to semantic web search, describes adapting a TREC benchmark for evaluation, and proposes a learned representation algorithm for using semantic web data in search.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Jessica Gronski
    • 1
  1. 1.UC Santa Cruz 

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