计算机应用 ›› 2010, Vol. 30 ›› Issue (1): 240-242.

• 典型应用 • 上一篇    下一篇

基于主题图的本体信息检索模型研究

李清茂1,杨兴江2,周相兵1,马洪江1   

  1. 1. 阿坝师范高等专科学校
    2. 四川省阿坝师范高等专科学校
  • 收稿日期:2009-07-21 修回日期:2009-08-06 发布日期:2010-01-01 出版日期:2010-01-01
  • 通讯作者: 李清茂
  • 基金资助:
    四川省教育厅自然科学基金

Research on topic maps-based ontology information retrieval model

LI QingMao,XingJiang Yang,Xiang-Bing Zhou,   

  • Received:2009-07-21 Revised:2009-08-06 Online:2010-01-01 Published:2010-01-01
  • Contact: LI QingMao

摘要: 针对本体在定义领域概念时具有规范性、明确性和可共享性等特点,结合主题图对文档资源组织方式具有语义可导航性,提出了一种基于主题图的本体信息检索模型,并给出了模型的形式化定义。选择旅游领域作为研究对象,定义了旅游本体和旅游文档资源主题图,分析了在信息检索模型中利用本体来规范用户自然语言查询输入,识别用户检索意图和扩展查询语义方面的作用,并展示了主题图在语义导航和用户相关度排序方面的价值。最后通过实验表明基于主题图的本体信息检索模型较传统的检索系统有较好的性能。

关键词: 本体, 主题图, 信息检索模型, 语义扩展

Abstract: Ontology is normative, explicit and reusable when defining the domain concept, so it can be combined with topic maps to organize information resource for semantic navigation. An information retrieval model based on topic maps and ontology was proposed and defined formally. Firstly it specified a domain of tourism document. Secondly it defined the ontology and topic maps of tourism document in order to normalize query that user directly input in natural language, and identified the users real meaning of search. Thus, it can expand user' semantic search. Therefore analyzed the effect of the ontology was analyzed, and a valuable function of semantic navigation and sorting the retrieval result correlated with user's query was shown. Finally,the experimental result shows that the topic mapbased ontology information retrieval model can perform better than the traditional model.

Key words: ontology, topic map, information retrieval model, semantic extension