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OWL-Based Semantic Conflicts Detection and Resolution for Data Interoperability

机译:基于OWL的语义冲突检测和数据互操作解决方案

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摘要

Ontology provides sharing knowledge among different data sources which will help to clarify the semantics of information. OWL is being promoted as a standard for web ontology language, thus in the future a considerable number of ontologies will be created based on OWL. Therefore automatically detecting semantic conflicts based on OWL will greatly expedite the step to achieve semantic interoperability, and will greatly reduce the manual work to detect semantic conflicts. In this paper, we summarize seven cases based on OWL in which semantic conflicts are easily to be encountered, and for each case, we give a rule to resolve the conflict. Via a series of examples, we show how this method works. Based on the seven cases, we propose a semantic conflicts detection and resolution algorithm. This aims at providing a semiautomatic method for semantic uniform data interoperability and integration.
机译:本体提供了不同数据源之间的共享知识,这将有助于阐明信息的语义。 OWL正在作为Web本体语言的标准而得到推广,因此在将来,将基于OWL创建大量本体。因此,基于OWL自动检测语义冲突将大大加快实现语义互操作性的步骤,并将大大减少检测语义冲突的人工工作。在本文中,我们总结了基于OWL的7种情况,其中很容易遇到语义冲突,并且针对每种情况,我们都给出了解决冲突的规则。通过一系列示例,我们展示了此方法的工作原理。在这七个案例的基础上,提出了一种语义冲突检测与解决算法。这旨在提供一种用于语义统一数据互操作性和集成的半自动方法。

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