Computer Engineering and Applications ›› 2013, Vol. 49 ›› Issue (3): 133-138.

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Approach of semantic mapping of heterogeneous data resources based on medium model

JIA He, AI Zhongliang, LIU Zhonglin   

  1. General Department, North China Institute of Computer Technology, Beijing 100083, China
  • Online:2013-02-01 Published:2013-02-18

基于中间模型的异构数据资源语义映射方法

贾  贺,艾中良,刘忠麟   

  1. 华北计算技术研究所 总体部,北京 100083

Abstract: The semantic mapping of heterogeneous data resources is one of the key problems in the research on data integration and sharing in the era of big data. This paper does research on the problem of semantic mapping between heterogeneous data resources and domain ontologies. It puts forward the algorithm of mapping based on medium model, including the approach of model transformation, the mapping rule, the mapping strategy, the expression of mapping results and so on. The system shields the heterogeneous data resources. It also guarantees the transparency for the user to access heterogeneous data resources, and the accuracy for the user to interpret them. It provides a flexible, universal and extensible mechanism for semantic integration, which will be integrated into the application of semantic searching.

Key words: share of heterogeneous data resources, domain ontology, semantic mapping, semantic searching

摘要: 异构数据资源的语义映射,是大数据时代数据集成与共享研究中的一个关键问题。围绕语义搜索的应用需求,针对海量异构数据资源到领域知识本体的语义映射问题,提出基于中间模型的映射算法,通过模型解析转换、映射规则设计、映射策略选择、映射关系表达等最终获得二者的映射关系。系统面向用户提供基于知识本体的统一视图,屏蔽了底层数据资源的异构性,保证了用户对异构数据资源的透明访问和准确理解,提供了一种灵活、通用、可扩展的语义集成机制,为准确高效的语义搜索应用提供支持。

关键词: 异构数据资源共享, 领域本体, 语义映射, 语义搜索