The article presents a statistical analysis of daily kilometrages of vehicles operated by a selected transport company in the period of three consecutive years (2013-2015). Company vehicles have been divided into four categories depending on gross vehicle mass and the type of their intended transport use. Statistical analyses of daily vehicle kilometrages showed statistically significant differences in daily kilometrage across different vehicle categories and in various months throughout the year.

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Purpose: The aim of the publication was to visualize the process of creating knowledge on the example of the CP Factory production line. For this purpose, the data contained in the relational databases and data of the operating production line were used. This data was converted to the form required by the CogniPy environment to create a semantic ontology for product personalization. Design/methodology/approach: With the available software based on ontologies and knowledge charts, the possibility of common human-computer reasoning has been opened, especially in production management. Findings: During the activities carried out, the on-conceptualization of the knowledge contained in the production management system was brought to an ontological form. At the moment, the information contained in the database is not very different from the data existing in the relational database. However, further modeling of ontology can be directed towards the creation of rules, logic and axioms of production processes. Practical implications: The operations and transformations performed presented the operation of CogniPy in the process of creating ontology and materializing the graph and queries. The created ontology takes the form of a universal set of knowledge that makes it open to wide integration with other systems. Originality/value: The publication shows the possibilities of using the CogniPy environment in the construction of ontology and semantic product personalization. Keywords: ontology, semantics, CogniPy, CP Factory.