Automatic Text Categorization Using Fuzzy Semantic Network

Abstract

Knowledge Representation (KR) is an art of representing knowledge in such a form that later it can be retrieved, searched, queried and inferred with a precision and along with all possible associations. That is why it can readily be said that KR is one of the key areas of research in Semantic web, Artificial Intelligence Data mining and big data analytics. In this regard, several techniques have been investigated in the literature. In this paper, the fuzzy semantic network (FSN) has been investigated for automatic text categorization in religious domain. The network is consisted of religious entities and their relationships obtained from various religious book and scriptures. This state of the art network is built and investigated for various search criteria. The results show that the scheme is promising in terms of better categorization.