PERTINENT KNOWLEDGE EXTRACTION FROM A SEMANTIC NETWORK: APPLICATION OF FUZZY SETS THEORY
Mohamed Nazih Omri · International Journal of Artificial Intelligence Tools · 2004
In this paper we describe an approach to define flexible Knowledge Extraction Systems able to deal with the inherent vagueness and uncertainty of the Extraction process. We also present a short survey of fuzzy and semantic approaches to knowledge extraction. The goal of such approaches is to address if and how some approaches met their goal.