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Semantic Search with GoPubMed

  • Chapter
Semantic Techniques for the Web

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5500))

Abstract

Searching relevant information on the web is a main occupation of researchers nowadays. Classical keyword-based search engines have limits. Inconsistent vocabulary used by authors is not handled. Relevant information spread over multiple documents can not be found. An overview over an entire document collection can not be given by the means of ranked lists. Question answering requiring semantic disambiguation of occurring terminology is not possible. Trends in the literature can not be followed if vocabulary is evolving over time.

GoPubMed is a semantic search engine using the background knowledge of ontologies to index the biomedical literature. In this chapter we discuss how semantic search can contribute to overcome the limits of classical search paradigms.

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Author information

Authors and Affiliations

  1. Technical University of Dresden, Germany

    Andreas Doms & Michael Schroeder

Authors
  1. Andreas Doms
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  2. Michael Schroeder
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Editor information

Editors and Affiliations

  1. Institute for Informatics, University of Munich, Oettingenstr. 67, D-80538, München, Germany

    François Bry

  2. Department of Computer Science, Linköping University, 581 83, Linköping, Sweden

    Jan Małuszyński

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Doms, A., Schroeder, M. (2009). Semantic Search with GoPubMed. In: Bry, F., Małuszyński, J. (eds) Semantic Techniques for the Web. Lecture Notes in Computer Science, vol 5500. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04581-3_7

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  • DOI: https://doi.org/10.1007/978-3-642-04581-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04580-6

  • Online ISBN: 978-3-642-04581-3

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