A review proposing that separating 'what is modeled' from 'how it is modeled' ontologies improves hybrid simulation interoperability and reusability.
Middle Architecture Criteria
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abstract
Mid-level ontologies are used to integrate terminologies and data across disparate domains. There are, however, no clear, defensible criteria for determining whether a given ontology should count as mid-level, because we lack a rigorous characterization of what the middle level of generality is supposed to contain. Attempts to provide such a characterization have failed, we believe, because they have focused on the goal of specifying what is characteristic of those single ontologies that have been advanced as mid-level ontologies. Unfortunately, single ontologies of this sort are generally a mixture of top- and mid-level, and sometimes even of domain-level terms. To gain clarity, we aim to specify the necessary and sufficient conditions for a collection of one or more ontologies to inhabit what we call a mid-level architecture.
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
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Ontology Enabled Hybrid Modeling and Simulation
A review proposing that separating 'what is modeled' from 'how it is modeled' ontologies improves hybrid simulation interoperability and reusability.