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Information Extraction in a Set of Knowledge Using a Fuzzy Logic Based Intelligent Agent

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Autor: Ropero Rodríguez, Jorge
Gómez Gutiérrez, Álvaro Ariel
León de Mora, Carlos
Carrasco Muñoz, Alejandro
Departamento: Universidad de Sevilla. Departamento de Tecnología Electrónica
Fecha: 2007
Publicado en: ICCSA 2007: International Conference on Computational Science and Its Applications (2007), p 811-820
ISBN/ISSN: 978-3-540-74482-5
Tipo de documento: Ponencia
Resumen: A method for Information Extraction (IE) in a set of knowledge is proposed in this paper in order to answer to user consultations using natural language. The system is based on a fuzzy logic engine, which takes advantage of its flexibility for managing sets of accumulated knowledge. These sets can be built in hierarchic levels by a tree structure. A method of consultation based on a fuzzy logic application provided with an interface that one may interact with in natural language is also proposed. The eventual aim of this system is the implementation of an intelligent agent to manage the information contained in an internet portal.
Cita: Ropero Rodríguez, J., Gómez Gutiérrez, Á.A., León de Mora, C. y Carrasco Muñoz, A. (2007). Information Extraction in a Set of Knowledge Using a Fuzzy Logic Based Intelligent Agent. En ICCSA 2007: International Conference on Computational Science and Its Applications (811-820), Kuala Lumpur, Malaysia: Springer.
Tamaño: 280.6Kb
Formato: PDF

URI: http://hdl.handle.net/11441/61081

DOI: 10.1007/978-3-540-74484-9_69

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