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Connecting Word Clusters to Represent Concepts with Application to Web Searching

  • Conference paper
Knowledge-Based Intelligent Information and Engineering Systems (KES 2003)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2773))

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Abstract

The need to have a search technique which will help a computer in understanding the user, and his requirements, has long been felt. This paper proposes a new technique, of doing so. It proceeds by first clustering the English language words into clusters of similar meaning, and then connecting those clusters according to their observed relationships and co-occurrences in web pages. These known relationships between word clusters are used to enhance the user’s query, and in effect ’understand’ it. This process will result in giving results of more value to the user. This procedure does not suffer with the problems faced by many of the presently used techniques.

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Author information

Authors and Affiliations

  1. Dept., Institute of Engineering & Technology, DAVV, Information Technology, Khandwa Road, Indore, MP, India

    Arnav Khare

Authors
  1. Arnav Khare
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Editor information

Editors and Affiliations

  1. Computing Laboratory, Oxford University, Parks Road, OXI 3QD, United Kingdom

    Vasile Palade

  2. Intelligent Systems and Signal Processing Labs, Moulsecoomb, University of Brighton, BN2 4GJ, Brighton, United Kingdom

    Robert J. Howlett

  3. Knowledge-Based Intelligent Engineering Systems Centre, Mawson Lakes, University of South Australia, 5095, Adelaide, SA, Australia

    Lakhmi Jain

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© 2003 Springer-Verlag Berlin Heidelberg

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Khare, A. (2003). Connecting Word Clusters to Represent Concepts with Application to Web Searching. In: Palade, V., Howlett, R.J., Jain, L. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2003. Lecture Notes in Computer Science(), vol 2773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45224-9_109

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  • DOI: https://doi.org/10.1007/978-3-540-45224-9_109

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40803-1

  • Online ISBN: 978-3-540-45224-9

  • eBook Packages: Springer Book Archive

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