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An Ontology Approach for Manufacturing Enterprise Data Warehouses Development

机译:制造企业数据仓库开发的本体方法

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Data warehouse (DW) is a powerful and useful technology for decision making in manufacturing enterprises. Because that the operational data often comes from distributed units for manufacturing enterprises, there exits an urgent need to study on the methods of integrating heterogonous data in data warehouse. In This paper, an ontology approach is proposed to eliminate data source heterogeneity. The approach is based on the exploitation of the application of domain ontology methods in data warehouse design, representing the semantic meanings of the data by ontology at database level and pushing the data as data resources to manufacturing units at data warehouse access level. The foundation of our approach is a meta-data model which consists of data, concept, ontology and resource repositories. The model is used in a shipbuilding enterprise data warehouse development project. The result shows that with the guide of the meta-data model, our ontology approach could eliminate the data heterogeneity.
机译:数据仓库(DW)是用于制造企业决策的强大而有用的技术。由于操作数据通常来自制造企业的分布式单位,因此迫切需要研究将异构数据集成到数据仓库中的方法。本文提出了一种本体方法来消除数据源的异构性。该方法基于对领域本体方法在数据仓库设计中的应用的开发,该方法在数据库级别通过本体表示数据的语义,并在数据仓库访问级别将作为数据资源的数据推送到制造单位。我们方法的基础是一个元数据模型,它由数据,概念,本体和资源存储库组成。该模型用于造船企业数据仓库开发项目中。结果表明,在元数据模型的指导下,我们的本体方法可以消除数据异质性。

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