Ontology-based query system design and implementation

In order to overcome the shortcomings arisen from the expression-only matching, the ontology-based semantic interpretation of concepts should be introduced into the retrieval process. Based on the study of ontology-based information retrieval, a query system oriented to EBM (Evidence-Based Medicine) data is designed and implemented. Meanwhile, OWL, RDF/RDFS and Jena are respectively employed as description language, semantic annotation language, and reasoning tool. Firstly, a medical ontology is established in this system. Secondly, the metadata is described and the semantic annotation for primitive data is achieved. Based on the above, the more ample semantic information is produced, the primitive data is more easily understood by computers and users. Finally, the goal prototype system and the semantic query using the semantic annotation are successfully implemented and verified. The experimental result reveals that not only the semantic pertinence of query results is improved, but also the query efficiency is promoted.