• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2010, Vol. 32 ›› Issue (2): 103-106.doi: 10.3969/j.issn.1007130X.2010.

• 论文 • 上一篇    下一篇

基于本体语义映射的数据集成机制研究

  

  1. (辽宁工程技术大学电子与信息工程学院,辽宁 葫芦岛 125105)
  • 收稿日期:2008-09-23 修回日期:2008-12-03 出版日期:2010-01-25 发布日期:2010-01-26
  • 通讯作者: 周纪超 E-mail:vvla@163.com
  • 作者简介:沈学利(1969),男,江苏连云港人,副教授,研究方向为计算机安全和计算机网络;周纪超,硕士生,研究方向为计算机安全和计算机网络。

Research on the Data Integration Mechanism Based on Ontology Semantic Mapping

  1. (School of Electronics and Information Engineering,Liaoning Technical University,Huludao 125105,China)
  • Received:2008-09-23 Revised:2008-12-03 Online:2010-01-25 Published:2010-01-26

摘要:

数据集成的难点是如何解决数据之间的语义异构问题,本文利用本体在语义集成上的优点,提出了一种基于本体语义映射的数据集成框架。根据本体概念的定义及其结构,给出了一种本体语义映射算法,该算法通过属性集合间的比较确定概念语义关系,在计算概念相似度时,考虑了概念名称、概念属性集合和相关概念的语义信息。最后通过概念的属性集映射算法和概念映射算法实现了本体语义映射,从而重点解决了数据集成中的语义映射问题。

关键词: 本体, 数据集成, 相似度, 语义映射

Abstract:

The difficulty of data integration is how to solve the problem of heterogeneous semantics. Using ontology’s advantage in semantic integration, this paper designs a data integration frame based on ontology semantic mapping. According to the definition and structure of the ontology concepts, an ontology semantic mapping algorithm is given, which confirms the concepts’ semantic relationship by a comparison between attribute sets, and takes the semantic information of concept names, attributes and correlative concepts into account when the similarity degree is computed. Finally, the ontology semantic mapping is determined by the mapping algorithm of the concepts’ attribute sets and the concepts’ mapping algorithm. Therefore the problem of semantic mapping in data integration is solved properly.

Key words: ontology;data integration;similarity;semantic mapping

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