Edward Szczerbicki

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Collecting, distributing and sharing knowledge in a knowledge-explicit way is a significant task for any company. However, collecting decisional knowledge in the form of formal decision events as the fingerprints of a company is an utmost advance. Such decisional fingerprint is called decisional DNA. Set of experience knowledge structure can assist on(More)
In recent times, traditional manufacturing is upgrading and adopting Industry 4.0, which supports computerization of manufacturing by round-the-clock connection and communication of engineering objects. Consequently, Decisional DNAbased knowledge representation of manufacturing objects, processes, and system is achieved by virtual engineering objects (VEO),(More)
In this paper we present a new methodology for the Domain modeling based on Engineering Standards. We discuss some benefits of standards as guidelines for a Knowledge Based Domain modeling and some potential challenges along with possible approaches to overcome them. The benefits of use of Standards as models for Domain ontologies have been shown valid in(More)