1999ACM Transactions on Information SystemsOpen access

Context interchange

Cheng Hian Goh, Stéphane Bressan, Stuart Madnick, Michael Siegel

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Abstract

TheContext Interchange strategypresents 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 acontext mediatorthrough comparison ofcontexts axiomscorresponding 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 theContext 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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TheContext Interchange strategypresents 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 acontext mediatorthrough comparison ofcontexts axiomscorresponding 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 theContext 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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Available abstract

TheContext Interchange strategypresents 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 acontext mediatorthrough comparison ofcontexts axiomscorresponding 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 theContext 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.

Key concepts: Computer science, Schema (genetic algorithms), Semantic Web, Information retrieval, Description logic, Semantics (computer science), Context (archaeology), Axiom

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