Abstract
Digital transformation of organizations became a significant research and engineering challenge worldwide. Implementing such a transformation requires not only a change in the technical equipment of the enterprise, but also developing new methods of knowledge life cycle management which include extraction of individual, interpersonal or organizational knowledge to explicit machine-readable forms and their conscious application during enterprise reengineering. Successful accomplishment of these tasks vitally relies on a rigorous scientific theory and formal methods. This work presents a new approach to knowledge life cycle management of different forms of knowledge based on combination of ontology engineering and evolvable domain-specific languages.
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Babkin, E., Poletaeva, T., Ulitin, B. (2020). Knowledge Life Cycle Management as a Key Aspect of Digitalization. In: Fred, A., Salgado, A., Aveiro, D., Dietz, J., Bernardino, J., Filipe, J. (eds) Knowledge Discovery, Knowledge Engineering and Knowledge Management. IC3K 2019. Communications in Computer and Information Science, vol 1297. Springer, Cham. https://doi.org/10.1007/978-3-030-66196-0_20
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