摘要
为了克服基于关键词匹配的传统搜索引擎不能有效处理复杂语义的问题，提出了一种基于领域本体实现面向整个网络空间的信息智能搜索方法。首先研究了支持网络信息搜索的领域本体结构和表示方法；重点研究了基于领域本体对用户的检索关键词进行语义处理技术，并且设计了一个算法提高语义推理效率；探究了自动调用搜索引擎，按照语义处理后的检索表达式完成全网信息搜索的方法。实验证明，本方法在略有提高查准率的同时，显著提高了网络信息搜索的查全率。
An intelligent search method based on domain ontology for the global Web information is proposed to solve the problem of low efficiency typical in traditional search engines based on word-matched technology. The structure and representation method of domain ontology were studied to support web search firstly. The semantic processing technique for user＇ s search words based on domain ontology was studied in detail, and an algorithm was designed to improve the efficiency of semantic reasoning. A method was explored to call automatically general search engine to finish information searching with the processed search expression. The experiment results prove that this method is a slight increase in precision at the same time, significantly improved recall of the web search.
出处
《情报学报》
CSSCI
北大核心
2010年第1期9-15,共7页
Journal of the China Society for Scientific and Technical Information
基金
本论文得到江苏省高校哲学社会科学基金项目（08SJD8700003）和国家自然科学基金项目（70871061）资助.
关键词
领域本体
网络智能搜索
语义推理
语义扩展
domain ontology, Web intelligent search, semantic reasoning, semantic expanding
