Tool support for transformation from an OWL ontology to an HLA Object Model

Oğuztüzün, Mehmet Halit S.
Designing simulation architectures based on domain models is a promising approach. Tools to support transformation of formalized domain models to design models are essential. Ontology languages offer a way of formally specifying the domain knowledge. We adopt a user-guided approach to model transformation, where the source is an OWL ontology and the target is an HLA Object Model, in particular, a federation object model (FOM). This paper presents a flexible transformation tool that enables the user to define transformations in terms of mappings from OWL constructs to HLA Object Model Template (OMT) constructs. The overall objective is to facilitate ontology-based model-driven development in distributed simulation.


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In this chapter, we present a formal, declarative, and visual model transformation methodology to map a domain conceptual model (CM) to a distributed simulation architecture model (DSAM). The approach adheres to the principles of model-driven engineering (MDE). A two-phased automatic transformation strategy is delineated to translate a field artillery conceptual model (ACM) into a high-level architecture (HLA) federation architecture model (FAM). The produced model is then compiled by the code generator to ...
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The graphical structure of a Bayesian network (BN) makes it a technology well-suited for developing decision support models from a combination of domain knowledge and data. The domain knowledge of experts is used to determine the graphical structure of the BN, corresponding to the relationships and between variables, and data is used for learning the strength of these relationships. However, the available data seldom match the variables in the structure that is elicited from experts, whose models may be qui...
Citation Formats
Ö. ÖZDİKİŞ, U. DURAK, and M. H. S. Oğuztüzün, “Tool support for transformation from an OWL ontology to an HLA Object Model,” 2010, Accessed: 00, 2020. [Online]. Available: