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Research Topics Discovery from WWW by Keywords Association Rules

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Rough Sets and Current Trends in Computing (RSCTC 2000)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2005))

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Abstract

In this paper, we present agents based tool to discover new research topics from the information available on the World Wide Web (WWW). Agents are using KAROKA (Keywords Association Rides Optimizer Knobots Advisers). KAROKA is a model of discovery in text database used in WWW. The WWW sources are converted to a highly structured collection of text. Then, KAROKA tries to extract association rules, regularities and useful information in the collection of text. KAROKA techniques are described such as information retrieval similarity metrics for text, generation and pruning of keywords combination, and summary proposal of discovered information.

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Author information

Authors and Affiliations

  1. Faculty of Software and Information Science, Iwate Prefectural University (IPU), 152-52 Sugo, Takizawa, 020-0193, Iwate, Japan

    David Ramamonjisoa

  2. Electrical and Computer Engineering, Yokohama National University, 79-5 Tokiwadai, Hodogaya, 240-8501, Yokohama, Japan

    Einoshin Suzuki & Issam Hamid

Authors
  1. David Ramamonjisoa
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  2. Einoshin Suzuki
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  3. Issam Hamid
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Regina Regina, S4S 0A2, Saskatchewan, Canada

    Wojciech Ziarko  & Yiyu Yao  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Ramamonjisoa, D., Suzuki, E., Hamid, I. (2001). Research Topics Discovery from WWW by Keywords Association Rules. In: Ziarko, W., Yao, Y. (eds) Rough Sets and Current Trends in Computing. RSCTC 2000. Lecture Notes in Computer Science(), vol 2005. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45554-X_51

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  • DOI: https://doi.org/10.1007/3-540-45554-X_51

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43074-2

  • Online ISBN: 978-3-540-45554-7

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