A study on self-adaptive heterogeneous data integration systems

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Abstract

Along with the rapid development of Internet and the extensive use of information technology in various fields, large amount of heterogeneous data has been produced. The way of integrating these heterogeneous data has been a hot issue. In this paper, from the problems which enterprise information integration faced, a framework of self-adaptive heterogeneous data integration system (AHDIS) has been given, and by using ontology, semantic similarity, web service and XML techniques, a self-adapted heterogeneous data integration platform which can be dynamically regulated has been built up successfully. With this integrated platform, the global data model can automatically or scmi-automatically be adjusted while a change has been made to the local data model, so that it can realize the data sharing among heterogeneous data sources. © 2008 by Springer Science+Business Media New York.

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Cao, Y., Chen, Y., & Jiang, B. (2008). A study on self-adaptive heterogeneous data integration systems. In IFIP Advances in Information and Communication Technology (Vol. 254 VOLUME 1, pp. 65–74). Springer New York LLC. https://doi.org/10.1007/978-0-387-75902-9_7

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