Towards a knowledge graph framework for ad hoc analysis in manufacturing

• DOI: 10.1007/s10845-023-02319-6
• Publication Date: 2024-02-29T16:02:28Z
• Authors: Bart Meyers; Hans Vangheluwe; Pieter Lietaert; Geert Vanderhulst; Johan Van Noten; Michel Schaffers; Davy Maes; Klaas Gadeyne
• Keywords: Knowledge graph

Abstract The development of artificial intelligence models for data driven decision making has a lot potential the manufacturing sector. Nevertheless, applications in industry are currently limited to actionable insights one can discover from available and knowledge system. We call process obtain such “ad hoc analysis”. Ad analysis at system level is very complex an industrial setting due inherent heterogeneity existence silos, lack information formalization, inability meaningfully efficiently reason about data, knowledge. In this paper, we provide outline framework ad based on graphs influenced by metamodelling paradigm. derive its requirements key elements several application cases. show how be combined made using framework. supports workflows tools consumer (i.e., scientist), engineer. Furthermore, integrated with existing sources. Then, discuss applied contributes when applied, what challenges still remain.