Abstract
Today, companies have to deeply transform both their product development structure and the structure of their business processes. Context-based decision support has shown its efficient applicability in this area. However, implementation of such complex changes in large companies faces many difficulties. The paper describes the methodology of context-based decision support. The context specifies domain knowledge describing the task to be solved and its situation. It is produced based on the knowledge extracted from a common ontology. The context usage is facilitated via role-based knowledge management. The major steps of the approach implementation in collaboration with an industrial partner are described. The observations made during the implementation of the approach addressing problems related to the implementation itself and generic principles that helped to overcome the problems are discussed.
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Acknowledgements
The research was supported partly by projects funded by grants #14-07-00345, #15-07-08092, #14-07-00427, #15-07-08391, #15-07-09229, #14-07-00378 of the Russian Foundation for Basic Research and by Government of Russian Federation, Grant 074-U01.
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Smirnov, A., Levashova, T., Shilov, N. (2015). Role-Driven Context-Based Decision Support: Approach, Implementation and Lessons Learned. In: Fred, A., Dietz, J., Aveiro, D., Liu, K., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2014. Communications in Computer and Information Science, vol 553. Springer, Cham. https://doi.org/10.1007/978-3-319-25840-9_32
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