摘要
利用自然语言处理(NLP)理论和技术方法对中医药领域中已有的公认领域知识进行了重构与利用,在成功实现了中医药学知识描述体系的自动构建与获取的基础上,利用领域专家知识,实现了受限文本的Ontology自学习机制,并对领域本体的进化进行了有益的探索,有效地解决了Ontology研究的瓶颈问题,从而为中医药知识的挖掘与利用奠定了数据基础。从目前看来,这是一种较为理想、实用的方法,为专业领域Ontology的自动构建提供了理论依据及技术支持。
The data of Chinese traditional medicine is based on human＇s experiences and has its own theory and rules. Its objectivity is contrary to the data based on scientific test in most conditions. In fact, Chinese traditional medicine＇s curative effect proves its data＇s objectivity fully from a level of cognition. Therefore this article reconstructs the well -recognized knowledge in Chinese medicine＇s domain by theory and technology of NLP. Based on the realization of Chinese medicine knowledge description system＇s automatic construction and acquisition, this article uses experts＇ knowledge to develop the self - learning system of limited text＇s ontology and tries to explore domain ontology＇ evolution. It revolves bottleneck problems of ontology study effectively by setting up the data base for Chinese knowledge＇s dining and use. Until now, it has been seen as a more practical method and will provide theory gist and technology support for professional domain ontology＇s automatic construction.
出处
《大学图书馆学报》
CSSCI
北大核心
2008年第4期58-62,共5页
Journal of Academic Libraries
基金
国家973项目(2007CB512601)
教育部人文社科项目(06JC870001)
山东省中医药科技专项项目(2003-14)
中国科学技术信息研究所预研基金(YY-200721)
南京理工大学青年科研基金项目(JGQN0701)的支持
关键词
中医药
本体
数据共享
知识工程
Chinese Traditional Medicine
Ontology
Data Sharing
Knowledge Engine
