Lehmann, JoelLober, AndreasHäußermann, TimRache, AlessaBaumgärtel, HartwigReichwald, JulianKlein, MaikeKrupka, DanielWinter, CorneliaWohlgemuth, Volker2023-11-292023-11-292023978-3-88579-731-9https://dl.gi.de/handle/20.500.12116/43103Flexibility and reconfigurability regarding mass-customized products are the key premises of future industrialization. The amalgamation of Digital Twin (DT) approaches, knowledge-representing technologies, and skill-based engineering methodologies allow such approaches to emerge. This paper deals with the integration of knowledge representations as a driver for holistic system intelligence ranging from physical assets to the Internet of Digital Twins (IoDT) within the Digital Twin Reference Model (DTRM). This is what it takes to spur DTs to intelligence and proactive collaboration behaviors. Despite the domain-agnostic, universal applicability of the concept, exemplary implementation approaches from the field of production and intralogistics illustrate the feasibility. Specific domain knowledge can be dynamically aggregated and used as a basis for negotiation scenarios between DTs.enDigital TwinInternet of Digital TwinsIoDTKnowledge GraphMarketplaceCyber-physical SystemsText/Conference Paper10.18420/inf2023_1761617-5468