Аннотация
We examine semantic interoperability problems in the fixed income
securities industry and propose a knowledge representation architecture
for context interchange mediation to support dynamic integration
of autonomous database, web, and procedural sources of information.
For sources and receivers sharing a common subject domain, the mediator's
reasoning engine can devise query plans integrating multiple sources
and resolving semantic heterogeneity. Receiver applications can obtain
the data they need in the form they need it without imposing changes
on sources. The architecture includes: 1) data models for each source
and receiver, 2) subject 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 data model implements the abstract concepts
from a subject ontology
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