Semantic STEP Technology (SST) is a novel way to represent, integrate and manage industrial product data as it is used in CAD, CAM, PDM, PLM, ERP and other CAx system. SST is optimized to work on the Internet using cloud computers. Major components of the SST Core are:

• SST Ontologies: A set of higher level ontologies on top of OWL 2, defining the underlying data model of SST. Basis is a Life-cycle Integration (LCI) ontology that is derived from ISO 15926 that allows a consistent representation of individuals with all their changes throughout space & time. On top of LCI other ontologies are provided for STEP (ISO 10303), Quantities and Units (ISO/IEC 80000), Reference Designation Systems (ISO/IEC 81346), Part Dictionaries & Libraries (ISO 13584 & IEC 61360) and more. Together the SST Ontologies provide an integrated single level data model that overcomes many limitation and artificial complexity of the underlying standards.
• SST Data: All SST application data as well as the SST Ontologies is directly accessible as standard RDF exchange files (primarily in Turtle and Json-LD format) and is so available for other tools. However not every RDF file can directly be imported into SST as the data must be structured in a specific way to enable the overall performance and flexibility of SST. Part of this is that SST is not relying on any exhaustive reasoning/inferencing but instead requires a specific data organization.
• SST Core API/Library: A Semantic Web engine to support OWL 2 (and thus RDF, RDFS). Note that the SST Core is not a general purpose RDF toolkit as it is highly specialized for performance and the specific way how SST deals with application data. The build in triplex structure allows for fast traversing an RDF graph in any direction (starting from either subject, predicate or object). Implemented in Golang ensures fastest possible performance on cloud computers.
• SST Repository: An integrated part of of the SST Core to make SST Data accessible on the Internet, together with built in revision control that follows principles of the GIT revision control system.
• SST EDM: Engineering Data Management; a web based tool to leverage some of the capabilities of SST

SST Ontologies and SST Data organization are publicly documented. SST Core, SST Repository and SST EDM are available on a commercial basis.