Ontology-Based Criterion in Categorical Clustering

Abstract

Currently the Internet is the first solution for scholars in finding information. But, analyzing and interpreting this volume of information will lead to researchers overload in pursuing their research. Document clustering has become an increasingly important task in analyzing huge documents. The challenging aspect to analyze the enormous documents is to organize them in such a way that facilitates better search and knowledge extraction without introducing extra cost and complexity. In this paper, ontology-based document clustering method has been proposed. Ontology based document categorization helps scholars to find relevant categorization of special areas by applying ontology based measure. However, there are few researches on ontology based measure with weighting methods. Previous works lack of an appropriate representation scheme for research topics. According to this issue this papers constructs ontology and apply this ontology in the clustering process and after that the topic discovery phase is followed. This paper describes a method that combines Semantic Web and ontology to support clustering unstructured text documents.