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Representation and Reasoning about Changing Semantics in Heterogeneous Data SourcesHongwei (Harry) ZhuOld Dominion University; Massachusetts Institute of Technology (MIT) Stuart MadnickMassachusetts Institute of Technology (MIT) - Sloan School of Management Michael SiegelMassachusetts Institute of Technology (MIT) - Sloan School of Management August 2004 MIT Sloan Working Paper No. 4497-04; CISL Working Paper No. 2004-14 Abstract: Changes of semantics in data sources further complicate the semantic heterogeneity problem. We identify four types of semantic heterogeneities related to changing semantics and present a solution based on an extension to the Context Interchange (COIN) framework. Changing semantics is represented as multi-valued contextual attributes in a shared ontology; however, only a single value is valid over a certain time interval. A mediator, implemented in abductive constraint logic programming, processes the semantics by solving temporal constraints for single-valued time intervals and automatically applying conversions to resolve semantic differences over these intervals. We also discuss the scalability of the approach and its applicability to the Semantic Web.
Number of Pages in PDF File: 16 Keywords: semantic heterogeneity problem, Context Interchange (COIN) framework working papers seriesDate posted: August 17, 2004Suggested CitationContact Information
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