Generating RDF Documents through Relational Databases

The Semantic Web has been developed in order to publish and access a lot of information for automatically processing of data and information by machines rather than for people. The relational data model is the major sources of information for future development of Semantic Web. RDF (Resource Description Framework) data model is a proven technology for generating semantic data from existing relational data representation. The certain loss of semantics has occurred in the generation of relational data to RDF. This paper paid much attention to extracting not only explicit but implicit semantics from RDB. To accomplish this goal, the correspondences between these two relational data models are studied and an algorithm for generating RDF from relational databases with integrity constraints preservation is proposed. In order to solve an ambiguous situation of understanding the same term of different meanings, URI (Uniform Resource Identifier) for each specific instance is used. The proposed mapping solution extracts relational schema and data from an existing relational database. Then, relation URI, attribute URI and tuple URI are generated. Finally, a series of triples are generated from those URI and validated against RDF validator