为了将推理与文本检索有效融合起来,提出了一种包含多类型查询的语义搜索引擎体系结构,在此基础上设计并实现了语义搜索引擎系统Smartch.Smartch基于合理的推理流程和图形化定制过程,提供4种形式的搜索服务,分别是基本搜索、概念搜索、图形化定制搜索及关联关系搜索.实验结果表明语义搜索引擎Smartch和传统搜索引擎相比,在本体推理的基础上,查全率和查准率上有一定的提高,图形化定制查询可准确定位用户需查询的概念,关联关系搜索可发现概念之间存在的复杂关系,Smartch实现了一定程度的智能搜索.
To integrate reasoning and text retrieval, the architecture of a semantic search engine which includes several kinds of queries is proposed, and the semantic search engine Smartch is designed and implemented. Based on a logical reasoning process and a graphic user-defined process, Smartch provides four kinds of search services. They are basic search, concept search, graphic user-defined query and association relationship search. The experimental results show that compared with the traditional search engine, the recall and precision of Smartch are improved. Graphic user-defined queries can accurately locate the information of user needs. Association relationship search can find complicated relationships between concepts. Smartch can perform some intelligent functions based on ontology inference.