StarEAI+: A Heterogeneous Data Integration Platform Based on Automatic Mapping Technology

Jiajia Miao, Dongge Zhang, Aiping Li, Yan Jia, Siyu Jiang · 2010

Data integration is the basis of the information integration technology. With the continuous increasing of the information utilization, the large-scale heterogeneous data integration has become a hot issue in the information research. The mapping technology is the key to establish the consistency among the heterogeneous data, including the consistency of data model, the consistency of data instance and so on. By introducing the technologies of machine learning, natural language processing, as well as the theory of fuzzy model, we improve the schema mapping approach and the instance matching approach while optimize the broken mapping detecting algorithm. We extend this platform with tree modules: the automatic schema mapping module, the instance matching module, as well as the broken mapping detecting module. The StarEAI+ system has been successfully deployed in the projects of armed forces and network monitoring.

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