Information extraction in a set of knowledge using a fuzzy logic based intelligent agent

Authors:
Jorge Ropero;Ariel Gómez;Carlos León;Alejandro Carrasco
Affiliations:
Department of Electronic Technology, University of Seville, Spain;Department of Electronic Technology, University of Seville, Spain;Department of Electronic Technology, University of Seville, Spain;Department of Electronic Technology, University of Seville, Spain
Venue:
ICCSA'07 Proceedings of the 2007 international conference on Computational science and its applications - Volume Part III
Year:
2007

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Abstract

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.