Ontology based knowledge graph for information and knowledge management in factory planning

The amount of necessary information and knowledge to fulfill the tasks within the factory planning domain is rapidly growing. Currently, data and documents containing relevant information are stored as single artifacts in various established systems which makes information gathering time-consuming. Therefore it would be helpful to connect the existing artifacts so that it is possible to get all information of different origins at a glance. As Semantic Web technologies are recently evolving from academic research to industry applications, Knowledge Graphs (KG) as one of their specific implementations seem to be a suitable option to manage and connect these information artifacts in a sustainable matter. This can effectively support knowledge management in factory planning and provides machine-readable access to domain information that can be used by currently emerging Artificial Intelligence (AI) applications. This paper focuses on the conceptual challenges related to the creation of a knowledge graph within the factory planning domain and proposes a concept for a platform to collect and access existing information and experiences from domain experts.