Abstract: Now a days, databases offer the best technique for storing, managing and retrieving data but traditional databases suffer from the absence of a semantic viewpoint in supporting the goal of databases integration from different databases resources into one unified form, in a common framework. For data integration Source models help in integrating distributed database sources. The autonomous and heterogeneous data resources required to represent in logical and conceptual models which provide common framework and reach global goal for databases integration. So, ontology is a best solution for databases integration. As ontology is a clear and detailed details as to how a thing is to be done of shared conceptualization can amount in better way for semantically united as complete thing of heterogeneous resources. Ontology constitutes a bridge between human and machine to machine understanding through formal and consensual terminologies. As a result of this key property of ontology, it can be shared and reused between computer to computer and human. In our proposed approach, the technique which is applied in this study is the rule based transformation on the relational databases to the OWL ontology. Generated ontology is completed with structurepoint of view from relational schema which is written in structure query language. This makes least inaccuracies with less work through manually building ontology. Generated ontology has been validated and enhanced with conceptual model extended entity relationship diagram. This study has reported about techniques applied with examples