TERM WEIGHTING: NOVEL FUZZY LOGIC BASED METHOD VS. CLASSICAL TF-IDF METHOD FOR WEB INFORMATION EXTRACTION

Jorge Ropero, Ariel Gómez, Carlos León, Alejandro Carrasco

2009

Abstract

Solving Term Weighting problem is one of the most important tasks for Information Retrieval and Information Extraction. Tipically, the TF-IDF method have been widely used for determining the weight of a term. In this paper, we propose a novel alternative fuzzy logic based method. The main advantage for the proposed method is the obtention of better results, especially in terms of extracting not only the most suitable information but also related information. This method will be used for the design of a Web Intelligent Agent which will soon start to work for the University of Seville web page.

Paper Citation

in Harvard Style

Ropero J., Gómez A., León C. and Carrasco A. (2009). TERM WEIGHTING: NOVEL FUZZY LOGIC BASED METHOD VS. CLASSICAL TF-IDF METHOD FOR WEB INFORMATION EXTRACTION . In Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-8111-85-2, pages 130-137. DOI: 10.5220/0001982901300137

in Bibtex Style

@conference{iceis09,
author={Jorge Ropero and Ariel Gómez and Carlos León and Alejandro Carrasco},
title={TERM WEIGHTING: NOVEL FUZZY LOGIC BASED METHOD VS. CLASSICAL TF-IDF METHOD FOR WEB INFORMATION EXTRACTION},
booktitle={Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2009},
pages={130-137},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001982901300137},
isbn={978-989-8111-85-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - TERM WEIGHTING: NOVEL FUZZY LOGIC BASED METHOD VS. CLASSICAL TF-IDF METHOD FOR WEB INFORMATION EXTRACTION
SN - 978-989-8111-85-2
AU - Ropero J.
AU - Gómez A.
AU - León C.
AU - Carrasco A.
PY - 2009
SP - 130
EP - 137
DO - 10.5220/0001982901300137