Clinical trial knowledge management system using ontology

Clinical trial is a kind of research to evaluate the effects of the interventions on health outcomes. Now, there´re many clinical trial registries all over the world which provide the registration and search of the clinical trials. Here, we present an architecture of clinical trial knowledge management system using ontology to facilitate the knowledge representation, data integration of the clinical trial. Also, we build a prototype system. In this prototype system, the clinical trial data is retrieved from Clinicaltrial.gov, an ontology includes clinical trial knowledge is developed, and the clinical trial data is annotated as the instances of the ontology. A concept recognition tool is used to recognize the disease concept from the clinical trial data and the relation between the clinical trial and the disease is built. Users can browse the ontology, use disease instances and keywords of some properties to express the structured semantic query in SPARQL to locate the clinical trial instances. Compared with the traditional query, the query conditions meet the user´s need more accurately.