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Term weighting: novel fuzzy logic based method vs. classical tf-idf method for web information extraction

dc.creatorRopero Rodríguez, Jorgees
dc.creatorGómez Gutiérrez, Álvaro Arieles
dc.creatorLeón de Mora, Carloses
dc.creatorCarrasco Muñoz, Alejandroes
dc.date.accessioned2024-01-05T11:05:02Z
dc.date.available2024-01-05T11:05:02Z
dc.date.issued2009
dc.identifier.citationRopero 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).
dc.identifier.isbn978-989-8111-85-2es
dc.identifier.urihttps://hdl.handle.net/11441/152977
dc.description.abstractSolving 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 pagees
dc.formatapplication/pdfes
dc.format.extent8 p.es
dc.language.isoenges
dc.publisherInstitute for Systems and Technologies of Information, Control and Communication (Insticc)es
dc.relation.ispartof11th International Conference on Enterprise Information Systems (ICEIS) - Artificial Intelligence and Decision Support Systems (2009), pp. 130-137.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectTerm weightinges
dc.subjectTF-IDFes
dc.subjectFuzzy logices
dc.subjectInformation extractiones
dc.subjectInformation retrievales
dc.subjectVector space modeles
dc.subjectIntelligent agentes
dc.titleTerm weighting: novel fuzzy logic based method vs. classical tf-idf method for web information extractiones
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Tecnología Electrónicaes
dc.relation.publisherversionhttps://www.scitepress.org/Link.aspx?doi=10.5220/0001982901300137es
dc.identifier.doi10.5220/0001982901300137es
dc.publication.initialPage130es
dc.publication.endPage137es
dc.eventtitle11th International Conference on Enterprise Information Systems (ICEIS) - Artificial Intelligence and Decision Support Systemses
dc.eventinstitutionMilán, Italia, 6-10 Mayoes

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