Core Ontology for Describing Production Equipment According to Intelligent Production

Author:

Vlasenko Lidiia,Lutska Nataliia,Zaiets Nataliia,Korobiichuk IgorORCID,Hrybkov SerhiiORCID

Abstract

This article presents the development of a core ontology for describing knowledge about the technological and technical parts of a production plant, in particular, theoretical knowledge for monitoring, diagnosing and forecasting of production equipment, taking into account the concept of Industry 4.0. This study is related to the definition of terms and their relationships for the processing industry in the core ontology. The core ontology is the basis for the development of domain and application ontologies, which create conditions for the system solution for the complex problems of operating industrial equipment. It consists of an ontological classification of core concepts according to the fundamental basic formal ontology. The essences of BFO were specified and revealed by methods of decomposition and generalization according to generally accepted structures of industrial enterprises. The proposed ontology contains 33 classes, 7 object properties and 34 individuals. The ontology is conceptually transparent and semantically clear, so it is suitable for theoretical knowledge transfer, sharing and retrieval. The ontology is implemented in the OWL language and validated. This article provides examples of requests for work with ontology, which prove the effectiveness of its use in industrial enterprises.

Publisher

MDPI AG

Subject

Artificial Intelligence,Applied Mathematics,Industrial and Manufacturing Engineering,Human-Computer Interaction,Information Systems,Control and Systems Engineering

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Ontological Analysis of the Digital Crime Conceptual Model;2023 IEEE 18th International Conference on Computer Science and Information Technologies (CSIT);2023-10-19

2. Enabling Fault Diagnosis in Skill-Based Production Environments;2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA);2023-09-12

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