Semantic Descriptors of Models and Simulations

Oswalt, Ivar; McKay, Ryan; Barber, Suzanne

doi:10.21236/ada444441

Cited by 2 publications

(1 citation statement)

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“…A few relatively simple quality metrics were used for the initial feasibility demonstration. One of the major challenges for ONISTT is expressing qualities and characteristics of capabilities in a standard way so that the capabilities provided by resources can be compared with the capabilities needed [7][8][9].…”

Section: Resource Ontologiesmentioning

confidence: 99%

Purpose-Aware Reasoning about Interoperability of Heterogeneous Training Systems

et al. 2007

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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 knowledge 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 confederation 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.

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Section: Resource Ontologiesmentioning

confidence: 99%