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36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9
Big Island, Hawaii
January 06-January 09
ISBN: 0-7695-1874-5
Allen Moulton, MIT Sloan School of Management
Stuart E. Madnick, MIT Sloan School of Management
Michael D. Siegel, MIT Sloan School of Management
We examine a knowledge representation architecture to support context interchange mediation. For autonomous receivers and sources sharing a common subject domain, the mediator?s reasoning engine can devise query plans integrating multiple sources and resolving semantic heterogeneity. Receiver applications obtain the data they need in the form they need it without imposing changes on sources. The KR architecture includes: 1) data models for each source and receiver, 2) subject domain ontologies, containing abstract subject matter conceptualizations that would be known to experienced practitioners in the industry, and 3) context models for each source and receiver that explain how each source or receiver data model implements the abstract concepts from a subject domain ontology. Examples drawn from the fixed income securities industry illustrate problems and solutions enabled by the proposed architecture.
Citation:
Allen Moulton, Stuart E. Madnick, Michael D. Siegel, "Semantic Interoperability in the Fixed Income Securities Industry: A Knowledge Representation Architecture for Dynamic Integration of Web-Based Information," hicss, vol. 9, pp.287a, 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9, 2003
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