A Method for the Access to the Contents in a Set of Knowledge Using a Fuzzy Logic Based Intelligent Agent

Abstract

This paper proposes a method for the classification of the contents in a set of knowledge 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.

Fuzzy Logic Applications for Knowledge Discovery: a Survey

“…Lastly, our group of investigation has worked with FL in IR for intelligent agents [9]. We developed an intelligent agent that is capable of answering to the needs of the users in their process of retrieving the desired information when it is enormous, heterogeneous, vague, imprecise, or out of order.…”

“…Martin-Bautista et al have continued their work on building user profiles with fuzzy logic, as may be seen in papers like [25]. A hierarchical structure also helps Vector Space Model to obtain better results in IR [9,16,17]. In fact, the frontier between using a hierarchical structure and ontologies constitutes a thin line [26].…”

“…In fact, the frontier between using a hierarchical structure and ontologies constitutes a thin line [26]. For example, intelligent agents improve their retrieval by using it [9,26]. Table 4 shows some applications that use a hierarchical structure for improving the results obtined by the VSM.…”