CQET. An Triple Facts-Based Query Engine for Processing the Ontologies
Hyunjang Kong, Myunggwon Hwang, Pankoo Kim · International Conference on Next Generation Web Services Practices · 2006
Many studies about the query languages and inference engines for processing the ontologies have been proposed. The basic ontology query languages are the RQL, RDQL, SPARQL, OWLQL, etc., and the significant inference engines are the Jena, Sesame, Jess, JTP, and so on. However, they have some limitations to process the ontologies completely. In this study, we suggest the new query engine for processing the ontologies and our approach is based on the triple facts gained through preprocessing the ontologies based on the inference rules. Our system can process the RDF(S) ontologies as well as OWL ontologies and it includes the inference function. For achieving our approach, we newly design the controlled query interface to process the triple format files. At the result, we realized that our system is very useful for processing the ontologies