Abstract
The application of Ontologies for the definition and interoperability of complementary taxonomies has been well-recognised within the Modelling & Simulation (M&S) community. Our research pertaining to the specification of Synthetic Environment (SE) representational semantics has proposed the use of an S ynthetic E nvironment D ata Representation Onto logy (sed Onto), which is modeled using W3C’s W eb O ntology L anguage(OWL). The vocabulary specified in sedOnto is based the SEDRIS Data Representation Model (DRM), which is a technological framework for SE data interchange and interoperability.
In this paper, we present STOWL – S EDRIS T o OWL Transform that automates the transformation of a SEDRIS based SE to a Web-Ontology based representation scheme in the OWL language. The target representation scheme, which shall be based on sedOnto, is in actuality an instantiation of the SE data representation terminology as specified by sedOnto. Such a transformation has many perceived advantages: It enhances SE interoperability by utilizing a Web-Ontology based approach for the specification of SE representation data, is consistent with existing industry based SE representation standards, namely SEDRIS, and that the representation scheme facilitates ontological reasoning over SE objects; a facility that is not directly supported by the SEDRIS DRM.
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Bhatt, M., Rahayu, W., Sterling, G. (2005). Synthetic Environment Representational Semantics Using the Web Ontology Language. In: Gallagher, M., Hogan, J.P., Maire, F. (eds) Intelligent Data Engineering and Automated Learning - IDEAL 2005. IDEAL 2005. Lecture Notes in Computer Science, vol 3578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508069_2
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DOI: https://doi.org/10.1007/11508069_2
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