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ABSTRACT
The Context Interchange strategy presents a novel
perspective for mediated data access in which semantic conflicts among heterogeneous systems are not identified a priori, but are detected and reconciled by a context mediator through comparison of contexts axioms corresponding to the systems engaged in data exchange. In this article, we show that queries formulated on shared views, export schema, and shared “ontologies” can be mediated in the same way using the Context Interchange framework. The proposed framework provides a logic-based object-oriented formalsim for representing and reasoning about data semantics in disparate systems, and has been validated in a prototype implementation providing mediated data access to both traditional and web-based information sources.
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CITED BY 29
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Thomas Lee , Melanie Chams , Robert Nado , Michael Siegel , Stuart Madnick, Information integration with attribution support for corporate profiles, Proceedings of the eighth international conference on Information and knowledge management, p.423-429, November 02-06, 1999, Kansas City, Missouri, United States
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A. R. Tawil , M. Montebello , R. Bahsoon , W. A. Gray , N. J. Fiddian, Interschema correspondence establishment in a cooperative OWL-based multi-information server grid environment, Information Sciences: an International Journal, v.178 n.4, p.1011-1031, February, 2008
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M. Lutz , J. Sprado , E. Klien , C. Schubert , I. Christ, Overcoming semantic heterogeneity in spatial data infrastructures, Computers & Geosciences, v.35 n.4, p.739-752, April, 2009
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REVIEW
"Kristian Torp : Reviewer"
Semantic interoperability among heterogeneous data sources is
complicated if there are semantic conflicts between the data sources.
The goal is that, when one user has made a declarative specification of
how data are interpreted and how confli
more...
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