摘要
1引言
知识是实现人工智能的必由之路.大规模知识处理致力于各学科专业领域的知识处理,从知识的角度来探讨智能的实现方式,并提供可共享、可复用的知识.医学知识库(NKIMed)是国家知识基础设施(NKI)的一个子集.
In this paper, we introduce an ontology-mediated method for medical knowledge acquisition and analysis. Using the method we establish an ontological structure and ontologies for the Medical Knowledge Base (or NKIMed). To check the consistency of the acquired knowledge, we use a set of medicine-specific axioms. These axioms are also used in knowledge inference, and interconnection between different medical concepts. Finally, two applications of NKIMed, i.e. intelligent teaching systems and speech diagnosis are illustrated.
出处
《计算机科学》
CSCD
北大核心
2003年第10期35-39,54,共6页
Computer Science
基金
国家自然科学基金(课题号#20010010-A)
科技部重大基础研究专项资助(课题号#2001CCA03000)
中科院第二期创新工程资助
关键词
医学
知识获取
本体
人工智能
知识处理
知识工程
Medical ontology, Ontology-mediated knowledge acquisition, Knowledge analysis
