Enhancing Simulation Composability and Interoperability Using Conceptual/Semantic/Ontological Models
Document Type
Editorial
Publication Date
2011
DOI
10.1057/jos.2011.18
Publication Title
Journal of Simulation
Volume
5
Issue
3
Pages
133-134
Abstract
(First paragraph) Two emerging trends in Modeling and Simulation (M&S) are beginning to dovetail in a potentially highly productive manner, namely conceptual modeling and semantic modeling. Conceptual modeling has existed for several decades, but its importance has risen to the forefront in the last decade (Taylor and Robinson, 2006; Robinson, 2007). Also, during the last decade, progress on the Semantic Web has begun to influence M&S, with the development of general modeling ontologies (Miller et al, 2004), as well as ontologies for modeling particular domains (Durak, 2006). An ontology, which is a formal specification of a conceptualization (Gruber et al, 1993), can be used to rigorously define a domain of discourse in terms of classes/concepts, properties/relationships and instances/individuals. For the Semantic Web, ontologies are typically specified using the Web Ontology Language (OWL). Although, conceptual modeling is broader than just semantics (it includes additional issues such as pragmatics (Tolk et al, 2008)), progress in the Semantic Web and ontologies is certainly beneficial to conceptual modeling. Benefits are accrued in many ways including the large knowledge bases being placed on the Web in numerous fields in which simulation studies are conducted and the powerful reasoning algorithms based on description logic being developed that allow the consistency of large specifications to be checked.
Original Publication Citation
Tolk, A., & Miller, J. (2011). Enhancing simulation composability and interoperability using conceptual/semantic/ontological models. Journal of Simulation, 5(3), 133-134. doi:10.1057/jos.2011.18
ORCID
0000-0002-4201-8757 (Tolk)
Repository Citation
Tolk, Andreas and Miller, John A., "Enhancing Simulation Composability and Interoperability Using Conceptual/Semantic/Ontological Models" (2011). Computational Modeling & Simulation Engineering Faculty Publications. 54.
https://digitalcommons.odu.edu/msve_fac_pubs/54
Comments
This is an Accepted Manuscript of an article published by Taylor & Francis Group in Journal of Simulation on August 29, 2011, available online: http://dx.doi.org/10.1057/jos.2011.18.