Abstract
Systems and software engineering projects depend on the cooperation of experts from heterogeneous engineering domains using tools that were not designed to cooperate seamlessly. Current semantic engineering tool and data integration is often ad hoc and fragile, thereby making the evolution of tools and the reuse of integration solutions across projects unnecessarily inefficient and risky. This chapter describes the engineering knowledge base (EKB) framework for engineering environment integration in multidisciplinary engineering projects. The EKB stores explicit engineering knowledge to support access to and management of engineering models across tools and disciplines. The following Chaps. 5–7 discuss individual aspects of the EKB framework, which provides (1) data integration based on mappings between local and domain-level engineering concepts; (2) transformations between local engineering concepts; and (3) advanced applications built on these foundations, e.g., end-to-end analyses. As a result, experts from different organizations may use their well-known tools and data models and can access data from other tools in their syntax. Typical applications enabled by implementations of this framework are discussed in Chaps. 9 and 10.
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Acknowledgments
This work has been supported by St. Pölten University of Applied Sciences, by the Christian Doppler Forschungsgesellschaft, the Federal istry of Economy, Family and Youth, and the National Foundation for Research, Technology and Development in Austria. The author wants to thank Stefan Biffl, Franz Fidler, and Richard Mordinyi for their valuable inputs.
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Moser, T. (2016). The Engineering Knowledge Base Approach. In: Biffl, S., Sabou, M. (eds) Semantic Web Technologies for Intelligent Engineering Applications. Springer, Cham. https://doi.org/10.1007/978-3-319-41490-4_4
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