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• W2103598659 abstract "Engineering large and complex simulation systems is becoming more reliant on the reuse of existing simulation models. While existing technical standards facilitate syntactic and technical interoperability among disparate simulation models, there is still lack of formal methods that enable sound reasoning about the conceptual congruity of models that are selected for composition. This paper suggests a graph-theoretic approach to measure the extent of conceptual congruity of models within a new context. The premise of the approach is based on having contextualized models that provide introspective access to their metamodels. A metamodel associated with a reusable model entails a conceptualization of the domain in which it is originally designed to be situated in. The metamodels are used to instantiate a metagraph and graph distance metrics are used to measure the alignment of metamodels in the context of the new application domain." @default.
• W2103598659 created "2016-06-24" @default.
• W2103598659 creator A5060285076 @default.
• W2103598659 date "2007-12-09" @default.
• W2103598659 modified "2023-09-26" @default.
• W2103598659 title "Using meta-level ontology relations to measure conceptual alignment and interoperability of simulation models" @default.
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• W2103598659 doi "https://doi.org/10.5555/1351542.1351733" @default.
• W2103598659 hasPublicationYear "2007" @default.
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