SPARQL Query Generator (SQG)

Abstract This paper describes a program—SPARQL Query Generator (SQG)—which takes as input an OWL ontology, set of object descriptions in terms this ontology and class the context, generates relatively large numbers queries about various types objects expressed RDF/OWL. The intent is to use SQG evaluating data representation retrieval systems from perspective semantics coverage. While there are many benchmarks for assessing efficiency systems, none existing solutions SPARQL query generation focus on coverage semantics. Some not scalable since manual work needed process; some do consider (or totally ignore) ontology/instance or rely real queries/datasets that readily available our domain interest. Our experimental results show performs reasonably well with generating guarantees good axioms included generated queries.