Semantic Data Integration and Querying Using SWRL

The semantic Web technology enables users to represent, share and discover heterogeneous data through formal ontologies. Semantic Web technologies also allow to link information thus moving from document centric idea of current Web to more fine grained semantic structures. The biological community requires more sophisticated methods to store, integrate and query their knowledge. This paper is focusing on Ontology construction of Natural Food Resources, Chemicals and Diseases. Semantics should be formally specified to provide a shared understanding of the implied relationships. Semantic Web Rule Language (SWRL) based on Description Logic (DL) is very useful for this formal specification of the ontologies. This enables the retrieval of user-specific semantic querying for topics of interest. This paper describes the works carried out on ontology-driven knowledge base and semantic querying of implicitly related sources from different domain.