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Purpose-aware reasoning about interoperability of heterogeneous training systems
by Dr. Grit Denker, Daniel Elenius, Reginald Ford, David Martin & and Mark Johnson.
Abstract
We describe a novel approach by which software can assess
the ability of a confederation of heterogeneous systems to interoperate
to achieve a given purpose. The approach uses ontologies and knowl-
edge bases (KBs) to capture the salient characteristics of systems, on
the one hand, and of tasks for which these systems will be employed,
on the other. Rules are used to represent the conditions under which
the capabilities provided by systems can fulfill the capabilities needed to
support the roles and interactions that make up each task. An Analyzer
component employs these KBs and rules to determine if a given con-
federation will be adequate, to generate suitable confederations from a
collection of available systems, to pre-diagnose potential interoperability
problems that might arise, and to suggest system configuration options
that will help to make interoperability possible. We have demonstrated
the feasibility of this approach using a prototype Analyzer and KBs.
BibTEX Entry
@inproceedings{ISWC07-onistt,
author = {Daniel Elenius and
Reginald Ford and
Grit Denker and
David Martin and
Mark Johnson},
title = {Purpose-Aware Reasoning about Interoperability of Heterogeneous
Training Systems},
booktitle = {The Semantic Web, 6th International Semantic Web Conference,
2nd Asian Semantic Web Conference, ISWC 2007 + ASWC 2007,
Busan, Korea, November 11-15, 2007},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
volume = {4825},
year = {2007},
isbn = {978-3-540-76297-3},
pages = {750-763},
ee = {http://dx.doi.org/10.1007/978-3-540-76298-0_54},
bibsource = {DBLP, http://dblp.uni-trier.de}
}
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