Methods of Detecting Rules for Discovery of New Concepts for Semantic Networks

Abstract

Successful experiments with extraction of previously uncharted concepts with specialized finite state automata and already stored data in semantic network encouraged authors to further extend capabilities of semi-automatic concept acquisition. This paper focuses on methods of extracting viable proposition that can be included in a rule repository used to retrieve candidates for semantic network extension.