The demand for efficient and digital systems for supporting the decision making during the design of aproduct is a key issue in manufacturing companies. Decisions made during the development and design of aproduct have a strong impact on the costs and delivery times of a product. Hence, a digital system whichsupports the engineer during and after the development process with information about the manufacturabilityof the product can reduce the production costs and times. In order to be able to evaluate the manufacturingcapabilities at manufacturing process and machine level, there is a need to represent them in a digital way.Digital knowledge bases like taxonomies and ontologies provide the possibility for a representation ofmanufacturing resources. The state of the art shows different approaches for the use of ontologies in thedomain of subtractive manufacturing processes as well as additive manufacturing (AM) processes. The goalof this work is the semantical representation of manufacturing technology capabilities with focus on AMmachines and processes. In this paper we introduce taxonomies of Manufacturing Features andManufacturing Restrictions which were developed in accordance with current standards. To enrich thetaxonomies with information, it was enhanced by relations between different manufacturing related entitiesin a knowledge graph. If manufacturing processes and machines can be digitally mapped, described andlinked to the geometric information of a product together with information on the current performance of thecompany/network, bottlenecks and delivery delays during the manufacturing of parts can be avoided.