Implementing a Work Support and Training Tool for Control Engineers

Hästbacka, David; Laitinen, Outi; Tommila, Teemu; Kuikka, Seppo

doi:10.1109/idaacs.2007.4488473

Cited by 1 publication

(1 citation statement)

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“…An interactive guide, for example, could simultaneously analyze the application being modeled and suggest appropriate elements. The approach could be applied to a previously developed work support tool [6] in order to support the transfer and usage of tacit knowledge in MDD of control applications. For example, during the platform specific phase it could be beneficial to have additional knowledge automatically presented as there can be hundreds of design constructs available in typical distributed control system platforms.…”

Section: Results and Future Applications In Engineeringmentioning

confidence: 99%

Bridging UML Profile Based Models and OWL Ontologies in Model-driven Development – Industrial Control Application

Hästbacka¹,

Kuikka²

2011

Proceedings of the International Joint Workshop on Information Value Management, Future Trends of Model-Driven Development, Rec

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Model-driven development is considered to improve productivity and quality in software application development. The increasing complexity in models and the number of modeling methods used requires new approaches for knowledge management to make the handling of models easier both during design and run-time. Modeling in MDD shares characteristics with ontology development. This paper discusses UML based models used in MDD and their relationship to OWL ontologies. A concept is proposed how to create ontologies corresponding to these models and how they can be used concurrently in supporting the application development. The main principle of the approach is the distinct separation of knowledge in the domain model and model instances. As a result the instance model transformations can be kept simple and corresponding ontology representations of application models can be used to support the development. Applications of the approach to model-driven development and engineering of industrial control applications are also discussed.

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Section: Results and Future Applications In Engineeringmentioning

confidence: 99%