Release Time:2019-03-11  Hits:

Indexed by: Journal Article

Date of Publication: 2012-01-01

Journal: International Journal of Digital Content Technology and its Applications

Included Journals: Scopus、EI

Volume: 6

Issue: 19

Page Number: 215-222

ISSN: 19759339

Abstract: 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.