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Wise Search Engine Based on LSI

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Agents and Data Mining Interaction (ADMI 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5980))

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Abstract

The objective of this work is to provide, as a search engine, latent semantic indexing (LSI), which is a classical method to produce optimal approximations of a term-document matrix and has been used for textual information mining. The use of this technique is examining mine content which based web document, using keyword features of documents. Experimental results show that together with both textual and latent features LSI can extract the underlying semantic structure of web documents, thus improve the search engine performance significantly.

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Author information

Authors and Affiliations

  1. Graduate School of Information, Production and Systems, 2-7 Hibikino, Wakamatsu, Kitakyushu, 808-0135, Japan

    Yang Jianxiong & Junzo Watada

Authors
  1. Yang Jianxiong
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  2. Junzo Watada
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Editor information

Editors and Affiliations

  1. University of Technology, Sydney, Australia

    Longbing Cao

  2. Universidade Federal do Rio Grande do Sul, Brazil

    Ana L. C. Bazzan

  3. St. Petersburg Institute for Informatics and Automation, Russia

    Vladimir Gorodetsky

  4. Aristotle University of Thessaloniki, Greece

    Pericles A. Mitkas

  5. University of Maastricht, The Netherlands

    Gerhard Weiss

  6. University of Illinois at Chicago, USA

    Philip S. Yu

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Jianxiong, Y., Watada, J. (2010). Wise Search Engine Based on LSI. In: Cao, L., Bazzan, A.L.C., Gorodetsky, V., Mitkas, P.A., Weiss, G., Yu, P.S. (eds) Agents and Data Mining Interaction. ADMI 2010. Lecture Notes in Computer Science(), vol 5980. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15420-1_11

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  • DOI: https://doi.org/10.1007/978-3-642-15420-1_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15419-5

  • Online ISBN: 978-3-642-15420-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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