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Theory of Ontology and Meta-Modeling and the Standard: An Enabler for Semantic Interoperability
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Author(s): Keqing He (Wuhan University, China), Chong Wang (Wuhan University, China), Yangfan He (Wuhan University, China), Yutao Ma (Wuhan University, China)and Peng Liang (Wuhan University, China)
Copyright: 2010
Pages: 44
Source title:
Handbook of Research on Software Engineering and Productivity Technologies: Implications of Globalization
Source Author(s)/Editor(s): Muthu Ramachandran (Leeds Metropolitan University, UK)and Rogério Atem de Carvalho (Instituto Federal Fluminense, Brazil)
DOI: 10.4018/978-1-60566-731-7.ch007
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Abstract
With the continuous development and rapid progress of information techniques, complexity and scale of information systems are expanding increasingly, which consequently brings our research focus on how to ensure the effective exchange of information and efficient interconnection between each part of a information system. However, different modeling paradigm, languages and platforms cause grammatical and semantic diversity to the existing information resources, a challenging approach to information resources management is needed to promote deep sharing of those information resources and implement rapid integration based on them. To realize semantic interoperation between diverse information systems and resources, the authors combine meta-modeling methodology in software engineering and ontology from philosophy to exploit a novel methodology named Theory of Ontology & Meta-modeling. Based on the methodology, the authors contributed to an international standard project ISO/IEC 19763- 3: Metamodel for ontology registration since 2003, which was officially published as an international standard in Dec, 2007. Furthermore, we developed a Management and Service platform for Semantic Interoperability on Manufacturing Informationalization Software Component Repository (SCR). It can support ontology-based software component attributes classification, registration and management using ISO/IEC 19763-3 standard, and implement semantic (ontology) based software component query and retrieval. Based on above mentioned techniques, this platform can facilitate the management of semantic interoperability, which provides the reliable infrastructure for the reusing and sharing of heterogeneous software component resources.
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