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论文类型：期刊论文

发表时间：2012-01-01

发表刊物：International Journal of Digital Content Technology and its Applications

收录刊物：EI、Scopus

卷号：6

期号：19

页面范围：215-222

ISSN号：19759339

摘要：Data integration is one of core competence concerning with the development of mass data application. In this paper, we present a context-aware data integration Meta model incorporating an advanced demand mapping and decomposition mechanism on heterogeneous data. In this model, data integration is controlled by the demand state transitions at different levels including workflow levels, control levels and data levels, which incorporates dynamic context information and forms a multi-level context. In a multi-level hierarchy of context conditions, the data integration model is implemented dynamically, by checking the context constraint associated with each application task at the time of the specific request submission, whose functionality and data constituent parts have been described formally and in detail. Finally, in order to show the benefits of the model, we develop a case study related to the product data management.