Machine-to-Machine (M2M) communication and Cloud Computing (CC) are gain in importance. Human interaction is often not sufficient to administrate machines. This also brings up the automation topic. Therefore, a demand for a Resource Description Language (RDL) is raised up. When machines speak the same language, at least in a specific area, facilitate implementing interfaces to unknown source. In this thesis, a RDL in additive manufacturing area was evaluated. Therefore, information about resources were gathered à la properties of the additive manufacturing process. This has been done by literature research, for example printer manuals. Due to the fact that in additive manufacturing are several different technologies, they were highlighted to state out the general as well as the technology specific properties. After the evaluation of properties, they were structured in a hierarchical tree depending on the classification in the process and the evaluated categories. The output is an ontology over hardware and service resources including restrictions and dependencies among them. This ontology was created by the ontology editor Protégé. Afterwards an example implementation of the ontology was given. It is integrated in a software of the university. Therefore, the thesis is arranged in the ontology and RDL field as well as in Additive Manufacturing (AM) and strips the CC and the Cloud Manufacturing (CM), due to the field of application. The resource description can be adopted by AM operators and providers of AM services, such as the 3D printing platforms which are available over the internet.