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AI-Assisted Engineering Data Integration for Small and Medium-Sized Enterprises
Eickhoff, Thomas; Ngamakoua Hakoua, Arnaud; Gobel, Jens C.
Type:
Year:
2024
Editor:
Malmqvist, J.; Candi, M.; Saemundsson, R. J.; Bystrom, F. and Isaksson, O.
Author:
Series:
NordDESIGN
Institution:
RPTU Kaiserslautern-Landau, Germany
Page(s):
782-789
DOI number:
ISBN:
978-1-912254-21-7
Abstract:
Engineering workflow management enables the digital representation and management of various collaborative engineering processes. However, additional knowledge in the minds of involved domain experts is often crucial for executing these processes efficiently. Additionally, most small and medium-sized enterprises (SMEs) do not have an adequate IT infrastructure for sufficient information management. This paper presents a generative AI-based approach to gather and integrate heterogenous digital data objects and undocumented expert knowledge into a linked meta model.
Keywords:
