CONVERTING DB TO RDF WITH ADDITIONAL DEFINED RULES
Mamdouh Farouk, Mitsuru Ishizuka · 2012
In linked data, web resources and data are represented into RDF. The new web of linked data should be completely machine-understandable. Moreover, since the start of Linking Open Data project, more and more providers publish linked data. Therefore, converting DB into RDF is important because a large amount of web data stored in databases. This work presents an approach for converting DB to RDF with additional inference rules. The generated data contains not only RDF data that represents relational DB but also additional discovered relation based on a set of predefined rules. Moreover, this paper proposes a simple search engine, which consumes the generated data and the defined inference rules. A prototype for the proposed approach and results of experiments show the effectiveness of the proposed approach.