Concept for managing multiple semantics with AutomationML Maturity level concept of semantic standardization
- 1 September 2012
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This contribution discusses the well-known paradox of today's approaches to standardizing of semantic models in automation engineering and proposes an evolutionary concept to resolve it. In this context, an overview of past and current standardization activities is presented which points out the existing barriers. Instead of aiming for a completely standardized neutral data model, the proposed approach actively supports data exchange with mixed neutral and proprietary data models. Hence, it utilizes the existing heterogeneity and the maturity of proprietary data models. In this context, the authors present a concept of maturity levels, which form milestones towards a stepwise evolution of a semantic standardization. Finally, this paper describes how this approach is technically implemented in AutomationML.Keywords
This publication has 5 references indexed in Scilit:
- Evaluation of the openness of automation tools for interoperability in engineering tool chainsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2012
- Concept for interoperability between independent engineering tools of heterogeneous disciplinesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2011
- Information integration in chemical process engineering based on semantic technologiesComputers & Chemical Engineering, 2011
- Semantic tool interoperability for engineering manufacturing systemsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010
- Version management and conflict detection across heterogeneous engineering data modelsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2010