Research topics discovery from WWW by keywords association rules

David Ramamonjisoa, Einoshin Suzuki, Issam Hamid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 Rules 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.

Original languageEnglish
Title of host publicationRough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers
EditorsWojciech Ziarko, Yiyu Yao
PublisherSpringer Verlag
Pages412-419
Number of pages8
ISBN (Print)3540430741, 9783540430742
DOIs
Publication statusPublished - Jan 1 2001
Externally publishedYes
Event2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000 - Banff, Canada
Duration: Oct 16 2000Oct 19 2000

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2005
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Conference on Rough Sets and Current Trends in Computing, RSCTC 2000
CountryCanada
CityBanff
Period10/16/0010/19/00

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Ramamonjisoa, D., Suzuki, E., & Hamid, I. (2001). Research topics discovery from WWW by keywords association rules. In W. Ziarko, & Y. Yao (Eds.), Rough Sets and Current Trends in Computing - 2nd International Conference, RSCTC 2000, Revised Papers (pp. 412-419). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2005). Springer Verlag. https://doi.org/10.1007/3-540-45554-X_51