TES'04 Proceedings of the 5th international conference on Technologies for E-Services
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We examine a knowledge representation architecture tosupport context interchange mediation. For autonomousreceivers and sources sharing a common subject domain,the mediator's reasoning engine can devise query plansintegrating multiple sources and resolving semanticheterogeneity. Receiver applications obtain the data theyneed in the form they need it without imposing changes onsources. The KR architecture includes: 1) data models foreach source and receiver, 2) subject domain ontologies,containing abstract subject matter conceptualizations thatwould be known to experienced practitioners in theindustry, and 3) context models for each source andreceiver that explain how each source or receiver datamodel implements the abstract concepts from a subjectdomain ontology. Examples drawn from the fixed incomesecurities industry illustrate problems and solutionsenabled by the proposed architecture.