Abstract

The problem of the formation of subject-oriented knowledge bases in the subject area of operation of computer-aided design systems is discussed. One of the trends in the development of CAD systems is their intellectualization through the development of a system-wide environment, including the means of methodological support of the design activities of users. It is proposed to use the otological approach in identifying and updating the content of knowledge bases used by target CAD personnel. The results of an experiment on the development of a targeted taxonomy in the subject area of computer-aided design of engineering products are presented.

Highlights

  • The creation of effective technical objects and structures in a timely manner and with the specified tactical and technical characteristics is not possible without the use of digital equipment and technologies

  • When forming a knowledge base, expert processing of large information arrays is most often used by groups of experienced designers who are narrow specialists in certain technical issues [11]

  • The target setting in the field of training and retraining of personnel for a particular enterprise can serve as a support for the development of ontologies of subject-oriented knowledge bases

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Summary

Introduction

The creation of effective technical objects and structures in a timely manner and with the specified tactical and technical characteristics is not possible without the use of digital equipment and technologies. The main tools that provide computer support for creative engineering activities in the processes of developing new technology are computeraided design (CAD) systems. Modern CAD systems, along with the already traditional modules of geometric modeling, calculations, and design documentation, include intelligent information and consulting subsystems [8,9,10]. In addition to the operational presentation of reference technical information, intelligent subsystems can provide the formation and targeted use of knowledge bases (KB) that support human analysis and design decisions

Formation of the knowledge base of the CAD domain
Filling the CAD domain
Approaches in the description of the required competencies
CAD Ontology
Development of a targeted approach to CAD
Conclusion
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