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.
clinical trial knowledge management ontology OWL SPARQL
WANG Tao XUE Xiao HUANG Biqing
Department of Automation, Tsinghua University, Beijing, 100084 China School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, 454000, China
国际会议
The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)
太原
英文
3214-3219
2012-05-23（万方平台首次上网日期，不代表论文的发表时间）