Semantic Web for Search

  • Jessica Gronski
Conference paper

DOI: 10.1007/978-3-642-04930-9_61

Volume 5823 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Gronski J. (2009) Semantic Web for Search. In: Bernstein A. et al. (eds) The Semantic Web - ISWC 2009. ISWC 2009. Lecture Notes in Computer Science, vol 5823. Springer, Berlin, Heidelberg

Abstract

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