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Evaluating Ontology Based Search Strategies

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Soft Computing for Information Processing and Analysis

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 164))

Abstract

We present a framework system for evaluating the effectiveness of various types of “ontologies” to improve information retrieval. We use the system to demonstrate the effectiveness of simple natural language-based ontologies in improving search results and have made provisions for using this framework to test more advanced ontological systems, with the eventual goal of implementing these systems to produce better search results, either in restricted search domains or in a more generalized domain such as the World Wide Web.

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References

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Author information

Authors and Affiliations

  1. Dept. of Artificial Intelligence and Computer Science, Universidad Politécnica de Madrid, Madrid, Spain

    Sergio Guadarrama

  2. Berkeley Initiative in Soft Computing (BISC), Computer Science Division, Dept. of EECS, University of California, Berkeley, CA, 94704, USA

    Masoud Nikravesh

Authors
  1. Chris Loer
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  2. Harman Singh
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  3. Allen Cheung
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  4. Sergio Guadarrama
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  5. Masoud Nikravesh
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Editor information

Editors and Affiliations

  1. Dept. Electrical Engineering and Computer Science — EECS, University of California, 94720, Berkeley, CA, USA

    Masoud Nikravesh

  2. Div. Computer Science, Lab. Electronics Research, University of California, Soda Hall 387, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  3. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk

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© 2005 Springer-Verlag Berlin Heidelberg

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Loer, C., Singh, H., Cheung, A., Guadarrama, S., Nikravesh, M. (2005). Evaluating Ontology Based Search Strategies. In: Nikravesh, M., Zadeh, L.A., Kacprzyk, J. (eds) Soft Computing for Information Processing and Analysis. Studies in Fuzziness and Soft Computing, vol 164. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32365-1_5

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  • DOI: https://doi.org/10.1007/3-540-32365-1_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22930-8

  • Online ISBN: 978-3-540-32365-5

  • eBook Packages: EngineeringEngineering (R0)

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