Abstract
Interoperation of heterogeneous and autonomous information systems has traditionally been hampered by semantic differences in their data models. In this paper, we address the problem by defining a methodology called TIME, which is based on an extensible meta model. Its key features are: a set of meta-types which can be used to represent the syntax and the semantics of data modeling concepts, a knowledge base of transformation rules that map a meta-type into other meta-types, and an inference engine which uses the transformation rules to translate schema from source to target models. The extensibility of the meta-model is achieved by organizing the meta-types into a generalization hierarchy that record similarities among modeling concepts. The hierarchy of meta-types allows the reuse of transformation rules during automatic generation of data model translators.
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© 1996 Springer-Verlag Berlin Heidelberg
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Nicolle, C., Benslimane, D., Yetongnon, K. (1996). Multi-data models translations in interoperable information systems. In: Constantopoulos, P., Mylopoulos, J., Vassiliou, Y. (eds) Advanced Information Systems Engineering. CAiSE 1996. Lecture Notes in Computer Science, vol 1080. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-61292-0_10
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