摘要
信息检索技术已经在全世界广泛应用。然而,搜索引擎的查全率和查准率不能够令用户满意。本文借助于本体论,通过建立语法树,应用中文语义网络系统(CNS)对查询关键字词法特性和本体实例之间语义关联强弱的分析,提高了查询关键字到本体概念映射的完整性和准确率,帮助搜索引擎对用户的意图做出有效推测,有效地提高搜索的查全率和准确率。
The technology of Web search has been widely used around the world. However, the precision and recall of existent search engines are not good enough to satisfy user’s requirements. Semantic search is different from traditional search. It uses semantic search technology to improve the search results, through keyword parsing based on the ontology and it can extend keyword to its equivalent concept, sub-concept. And the user-defined method can inerrably ensure the semantic information which is hidden in the user’s query and improve the precision. Semantic search can also find out the association relationship between two entities. So it can implement some intelligent functions compared to the traditional search engine.
出处
《电脑编程技巧与维护》
2009年第S1期112-115,共4页
Computer Programming Skills & Maintenance
关键词
本体
语义相似度
中文语义网络系统
语义扩展
语义匹配
ontology
semantic similitude
Chinese Semantic Net
semantic extend
semantic matching
