An inference based query engine for RDF data

Since the start of linked data project, more and more people publish their data in the linked data cloud as RDF data. Searching RDF data is important to exploit this massive amount of well-represented data. Finding implicit data is one challenge in searching RDF data. This work proposes an inference-based engine for SPARQL queries. Using inference our engine can answer some queries that cannot be answered by the normal SPARQL engines. The proposed engine expands the user query using the set predefined rules. The prototype for the proposed approach shows the effectiveness of adding inference to SPARQL engine.