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Requirements for the Application of Knowledge Graphs in Automotive Manufacturing

Authors:
Jan Michael Spoor
Christian Graewe
Jens Weber

Keywords: Cyber-Physical Systems, Knowledge Based Systems, Production Engineering

Abstract:
The application of knowledge graphs drives in particular the development of Digital Twins. Thus, the creation of knowledge graphs becomes an important objective in automotive manufacturing. In the current literature, multiple requirements are given. In this paper, we conduct a categorization of these requirements. In addition, we evaluate expert interviews to enable a comparison of the requirements mentioned by practitioners with the requirements mentioned in the literature. While the industry experts agree with most challenges and requirements from the literature, some requirements differ. Most notably, real-time monitoring is not seen as a high priority by the practitioners. The application of predictive maintenance is seen as a subsequent application and not as a fundamental feature. Lastly, the integration of external partners such as suppliers is seen as controversial between the industry experts. This conducted evaluation provides a foundation to further develop use cases and implementation concepts in automotive manufacturing. In future work, we plan to add technical implementation requirements and conduct first use cases of knowledge graphs.

Pages: 12 to 17

Copyright: Copyright (c) IARIA, 2023

Publication date: June 26, 2023

Published in: conference

ISSN: 2308-3557

ISBN: 978-1-68558-049-0

Location: Nice, France

Dates: from June 26, 2023 to June 30, 2023