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Authors: Jorge Ropero ; Ariel Gómez ; Carlos León and Alejandro Carrasco

Affiliation: University of Seville, Spain

Keyword(s): Term weighting, TF-IDF, Fuzzy logic, Information extraction, Information retrieval, Vector space model, Intelligent agent.

Related Ontology Subjects/Areas/Topics: Advanced Applications of Fuzzy Logic ; Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Biomedical Engineering ; Data Engineering ; Enterprise Information Systems ; Health Information Systems ; Information Systems Analysis and Specification ; Intelligent Agents ; Internet Technology ; Knowledge Management ; Ontologies and the Semantic Web ; Society, e-Business and e-Government ; Web Information Systems and Technologies

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.

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Paper citation in several formats:
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; ISSN 2184-4992, SciTePress, pages 130-137. DOI: 10.5220/0001982901300137

@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},
issn={2184-4992},
}

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
IS - 2184-4992
AU - Ropero, J.
AU - Gómez, A.
AU - León, C.
AU - Carrasco, A.
PY - 2009
SP - 130
EP - 137
DO - 10.5220/0001982901300137
PB - SciTePress