2024-01-052024-01-052009Ropero Rodríguez, J., Gómez Gutiérrez, Á.A., León de Mora, C. y Carrasco Muñoz, A. (2009). Term weighting: novel fuzzy logic based method vs. classical tf-idf method for web information extraction. En 11th International Conference on Enterprise Information Systems (ICEIS) - Artificial Intelligence and Decision Support Systems (130-137), Milán, Italia, 6-10 Mayo: Institute for Systems and Technologies of Information, Control and Communication (Insticc).978-989-8111-85-2https://hdl.handle.net/11441/152977Solving 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 pageapplication/pdf8 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/Term weightingTF-IDFFuzzy logicInformation extractionInformation retrievalVector space modelIntelligent agentinfo:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/openAccess10.5220/0001982901300137