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计算机工程 ›› 2008, Vol. 34 ›› Issue (2): 187-189. doi: 10.3969/j.issn.1000-3428.2008.02.062

• 人工智能及识别技术 • 上一篇    下一篇

基于多层本体方法的信息集成研究

范莉娅,肖田元   

  1. (清华大学自动化系国家CIMS中心,北京 100084)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2008-01-20 发布日期:2008-01-20

Research on Information Integration Based onMultiple Layers Ontology Approach

FAN Li-ya, XIAO Tian-yuan   

  1. (National CIMS Center, Dept. of Automation, Tsinghua University, Beijing 100084)
  • Received:1900-01-01 Revised:1900-01-01 Online:2008-01-20 Published:2008-01-20

摘要: 针对动态信息源间的语义异构问题,通过对现有基于本体的信息集成方法的分析,从消除信息源动态变化的影响和支持异构信息源集成的角度出发,建立包括全局本体层、领域本体层和局部本体层的多层本体集成方法。多层本体方法简化了全局本体的构建,能够集成领域视角不同的动态信息源并支持现有本体的重用,为大规模异构信息源的集成提供了可行的解决方案。

关键词: 语义异构, 信息集成, 多层本体方法

Abstract: In order to resolve the semantic heterogeneous problem among dynamic information sources, existing information integration methods based on ontology is analyzed, and Multiple Layers Ontology Approach (MLOA) which contains global ontology layer, domain ontology layer and local ontology layer is presented. MLOA overcomes the faults of existing methods, simplifies the construction of global ontology, can integrate dynamic information sources which have different views on a domain, and support reusing existing ontology. MLOA makes it possible to integrate large-scale semantic heterogeneous information sources.

Key words: semantic heterogeneity, information integration, multiple layers ontology approach

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