A NOVEL TERM WEIGHTING SCHEME FOR A FUZZY LOGIC BASED INTELLIGENT WEB AGENT

Ariel Gómez, Jorge Ropero, Carlos León, Alejandro Carrasco

Abstract

Term Weighting (TW) is one of the most important tasks for Information Retrieval (IR). To solve the TW problem, many authors have considered Vector Space Model, and specifically, they have used the TF-IDF method. As this method does not take into account some of the features of terms, we propose a novel alternative fuzzy logic based method for TW in IR. TW is an essential task for the Web Intelligent Agent we are developing. Intelligent Agent mode of operation is also explained in the paper. An application of the Intelligent Agent will be in operation soon for the University of Seville web portal.

References

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Paper Citation


in Harvard Style

Gómez A., Ropero J., León C. and Carrasco A. (2008). A NOVEL TERM WEIGHTING SCHEME FOR A FUZZY LOGIC BASED INTELLIGENT WEB AGENT . In Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-37-1, pages 496-499. DOI: 10.5220/0001700604960499


in Bibtex Style

@conference{iceis08,
author={Ariel Gómez and Jorge Ropero and Carlos León and Alejandro Carrasco},
title={A NOVEL TERM WEIGHTING SCHEME FOR A FUZZY LOGIC BASED INTELLIGENT WEB AGENT},
booktitle={Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2008},
pages={496-499},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001700604960499},
isbn={978-989-8111-37-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Tenth International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - A NOVEL TERM WEIGHTING SCHEME FOR A FUZZY LOGIC BASED INTELLIGENT WEB AGENT
SN - 978-989-8111-37-1
AU - Gómez A.
AU - Ropero J.
AU - León C.
AU - Carrasco A.
PY - 2008
SP - 496
EP - 499
DO - 10.5220/0001700604960499