An adaptive approach to schema classification for data warehouse modeling
Journal of Computer Science and Technology
Multilingual schema matching for Wikipedia infoboxes
Proceedings of the VLDB Endowment
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A fundamental problem in schema integration is attribute correspondences identification. This paper studies a problem of identifying indirect attribute correspondences in multilingual schemas. As far as we know, previous researches of schema integration mainly attempted to solve schema matching in monolingual schemas, neglecting schema matching in multilingual schemas. In this paper, through analyzing two schemas of a large financial corporate of China, we discover relationship of the attributes between the given multilingual schemas. And with domain ontology, indirect attribute correspondences are identified in multilingual schemas. The method extends the abilities of our previous work, and can deals with directional as well as indirect attribute correspondence identification in multilingual schemas. Moreover, a computer-aided system to deal with the problem with the method is provided, which shows its effectiveness in practice.