基于本体的术语关联搜索及其应用研究  

Application and research on related terms search based on ontology

作　　者：胡任[1] 戚进[1] 胡洁[1] 彭颖红[1] 

机构地区：[1]上海交通大学机械与动力工程学院,上海200030

出　　处：《计算机应用》2009年第B12期169-172,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(50775140;50575142;60304015);国家863计划项目(2008AA04Z113);上海科委基础处重点项目(08JC1412000);上海科委项目(09DZ1121400);教育部博士点基金资助项目(200802480036);高等学校学科创新引智计划项目(B06012)

摘　　要：研究了基于语义网的本体构建和Jena搜索技术。首先介绍了基于语义网的本体构建方法和评估原则,然后介绍SPARQL语言,提出术语关联搜索机制和术语的相关度排序方法,其次介绍航天产品开发领域术语库构建过程,最后应用到原型系统,以验证了该方法的有效性。The ontology development techniques and Jena searching techniques based on semantic Web were studied in this paper. Firstly, the method of ontology development based on semantic Web and corresponding evaluation principles were introduced. Secondly, the SPARQL language was introduced, a new searching mechanism for term and its association was proposed. Meanwhile, a ranking approach for term relevance was brought forward. Furthermore, the proposed method was applied to the ontology base construction in aerospace product development, and finally, a prototype system was designed to verify the effectiveness of the methods in the paper.

关 键 词：本体构建 语义网 SPARQL 术语关联搜索 

分 类 号：TP391.72[自动化与计算机技术—计算机应用技术]