A Fuzzy Logic intelligent agent for Information Extraction: Introducing a new Fuzzy Logic-based term weighting scheme

摘要

In this paper, we propose a novel method for Information Extraction (IE) in a set of knowledge in order toanswer to user consultations using natural language. The system is based on a Fuzzy Logic engine, whichtakes advantage of its flexibility for managing sets of accumulated knowledge. These sets may be built inhierarchic levels by a tree structure. The aim of this system is to design and implement an intelligentagent to manage any set of knowledge where information is abundant, vague or imprecise. The methodwas applied to the case of a major university web portal, University of Seville web portal, which containsa huge amount of information. Besides, we also propose a novel method for term weighting (TW). Thismethod also is based on Fuzzy Logic, and replaces the classical TF–IDF method, usually used for TW,for its flexibility.