Inference New Knowledge Using Sparql Construct Query

SPARQL Protocol and RDF Query Language (SPARQL) is the Semantic Web based query language which extracts and manipulate data stored in the RDF datasets. SPARQL is the W3C recommendation which allow users to get what they need rather than how a particular dataset is organized. SELECT query is the most popular and widely used SPARQL query which extracts the required information from the RDF datasets. However, the topic of this study is the SPARQL Construct query, which returns an RDF graph rather than returning a table of resulted values. The SELECT query can only be used to fetch the data which are already stored in our datasets and does not infer/create new knowledge. In our work, we have tried to employ the SPARQL Construct queries to demonstrate how new information can be inferred based on the already existed data stored in our ontology, which otherwise are possible via (Semantic Web) rules.