An ontology is an explicit specification of shared conceptualization. The Web Ontology Language (OWL) is a family of knowledge representation languages for authoring ontologies, and is endorsed by the World Wide Web Consortium. The main operation on ontologies is to query them and to store them so as to answer queries efficiently. By mapping ontologies to relational databases, we can leverage the power of SQL for ontology reasoning over millions of instances. We address the problem of efficiently mapping and querying OWL ontologies using relational databases. We present an OWL ontology mapping tool, called TRANS which can automatically map OWL ontology to mapped relational schema. Using TRANS, we answer both extensional queries and some intentional queries. We compare our approach with schema-aware OWL-mapping tool, Genea[7].
Saurabh Kejriwal, N. S. Narayanaswamy