Abstract: Aiming at the problems existed in the process of medical information combination search, a search method for multi-information fusion based on medical ontology is proposed, which sets up ontology entity by using information extraction technique, and deals with the users’s query by using medical ontology. A prototype system based on this method is also implemented. Experimental results show this system can return multiple relevant information effectively, and show the importance of ontology in the field of multi-information fusion search.

Key words: medical ontology, information extraction, matching, search engine

摘要： 针对医疗信息联合搜索中存在的问题，提出一种基于医疗领域本体的多信息融合搜索方法。该方法采用信息抽取技术自动构建本体实例，运用医疗领域本体对用户查询请求进行语义处理，同时实现了基于该方法的原型系统。实验结果表明，该原型系统能有效返回多种相关信息，从而说明了本体在多信息融合搜索方面的重要性。

关键词: 医疗本体, 信息抽取, 匹配, 搜索引擎

CLC Number: 

• TP311.52