Title :
Based on Ontology : Construction and application of Medical Knowledge Base
Author :
Binfeng, Xu ; Xiaogang, Luo ; Peng Chenglin ; Qian, Huang
Author_Institution :
Chongqing Univ., Chongqing
Abstract :
The organization of medical knowledge is the key element of medical knowledge engineering. In the recent, as the effective method of medical knowledge organization, ontology is widely used in many fields. Thus, ontology provides a fundamental framework for the development of semantic web and artificial intelligence. This paper presents a building method for medical knowledge base. According to the approach, we established an ontological structure including Chinese traditional medical and Western medical ontology. Combining the existent medical knowledge, we have applied NKI Frame language to the system, and built the category of coronary heart disease (CHD) and other relevant categories. Based on the introduction of ontology theory, the author uses Protege 2000 of Stanford, the construction and maintenance tool of ontology, designed and completed medical knowledge based on ontology. At the same time, the system is applied into some medical learning system. Compared with some knowledge organization systems, this system makes much improvement in the key techniques including the feasibility, the expansibility and the reusability. Finally, we draw a conclusion that the system could resolve many problems in the field of medical knowledge engineering.
Keywords :
knowledge engineering; learning systems; medical computing; medical information systems; ontologies (artificial intelligence); semantic Web; Chinese traditional medical ontology; NKI Frame language; Western medical ontology; artificial intelligence; coronary heart disease; medical knowledge base; medical knowledge engineering; medical knowledge organization; medical learning system; semantic Web; Biomedical engineering; Educational institutions; Indexing; Knowledge based systems; Knowledge engineering; Large-scale systems; Ontologies; Semantic Web; Taxonomy; Thesauri; Knowledge Engineering; MeSH; Medical Ontology; Protégé;
Conference_Titel :
Complex Medical Engineering, 2007. CME 2007. IEEE/ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1077-4
Electronic_ISBN :
978-1-4244-1078-1
DOI :
10.1109/ICCME.2007.4382013