In the era of Industry 4.0, the automation of processes in the life cycle of a product seems to be a necessity. Although programming CNC machines with CAM systems make it possible, it is necessary to effectively acquire knowledge about the programming process and technological requirements for effective automation. The paper presents a method for decomposition of knowledge about the CNC machine programming process based on acquiring knowledge from various sources, both from technologists as well as on the basis of analysis of archival CNC control programs. To decompose the programming process, it is proposed to apply the knowledge model described by various attributes. Verification of the method is shown in the process of knowledge decomposition for manufacturing special production tooling.
The paper presents a new ontology-based approach to the elaboration and management of evidences prepared by developers for the IT security evaluation process according to the Common Criteria standard. The evidences concern the claimed EAL (Evaluation Assurance Level) for a developed IT product or system, called TOE (Target of Evaluation), and depend on the TOE features and its development environment. Evidences should be prepared for the broad range of IT products and systems requiring assurance. The selected issues concerning the author’s elaborated ontology are discussed, such as: ontology domain and scope definition, identification of terms within the domain, identification of the hierarchy of classes and their properties, creation of instances, and an ontology validation process. This work is aimed at the development of a prototype of a knowledge base representing patterns for evidences.