Ontology Extraction is an important role in the Semantic Web as well as in knowledge management. The emergence of Semantic Web and the associated technologies promise to make the Web a meaningful experience. On the contrary, success of Semantic Web and its applications depends largely on utilization and interoperability of well-formulated ontology bases in an automated heterogeneous environment. Ontology is what exists in a domain also how they relate with each other. The advantage of ontology is that it represents real world information in a manner that is machine understandable. This leads to a diversity of interesting applications for the benefit of the target user groups. Ontology defines the terms used to describe and represent an area of knowledge. Ontologies are significant for applications that need to search across or merge information from diverse communities. In this paper, we present our move toward to extract relevant ontology concepts and their relationships from a knowledge base of heterogeneous text documents.

heterogeneous, knowledge, machine understandable, Ontology Extraction, Semantic Web

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