Adopting a DTDL industry ontology
Microsoft partnered with domain experts to create DTDL model sets based on industry standards. These model sets help minimize reinvention and simplify solutions. This article presents the DTDL industry ontologies that are currently available.
List of ontologies
| Industry | Ontology repository | Description | Learn more |
|---|---|---|---|
| Smart buildings | Digital Twins Definition Language-based RealEstateCore ontology for smart buildings | Microsoft partnered with RealEstateCore to deliver this open-source DTDL ontology for the real estate industry. RealEstateCore is a consortium of real estate owners, software vendors, and research institutions. This smart buildings ontology provides common ground for modeling smart buildings, using industry standards (like BRICK Schema or W3C Building Topology Ontology) to avoid reinvention. The ontology also comes with best practices for how to consume and properly extend it. |
To learn more about the partnership with RealEstateCore and goals for this initiative, see the following blog post and embedded video: RealEstateCore, a smart building ontology for digital twins, is now available. |
| Smart cities | Digital Twins Definition Language (DTDL) ontology for Smart Cities | Microsoft collaborated with Open Agile Smart Cities (OASC) and Sirus to provide a DTDL-based ontology for smart cities, starting with ETSI CIM NGSI-LD. | To learn more about the partnerships and approach for smart cities, see the following blog post and embedded video: Smart Cities Ontology for Digital Twins. |
| Energy grids | Digital Twins Definition Language (DTDL) ontology for Energy Grid | This ontology helps solution providers accelerate development of digital twin solutions for energy use cases like monitoring grid assets, outage and impact analysis, simulation, and predictive maintenance. Additionally, the ontology can be used to enable the digital transformation and modernization of the energy grid. It's adapted from the Common Information Model (CIM), which is a global standard for energy grid assets management, power system operations modeling, and physical energy commodity market. | To learn more about the partnerships and approach for energy grids, see the following blog post: Energy Grid Ontology for Digital Twins. |
| Manufacturing | Manufacturing Ontologies | These ontologies help solution providers accelerate development of digital twin solutions for manufacturing use cases like asset condition monitoring, simulation, OEE calculation, and predictive maintenance. Additionally, the ontologies can be used to enable the digital transformation and modernization of factories and plants. They're adapted from OPC UA, ISA95, and the Asset Administration Shell, three global standards widely used in the manufacturing space. | Visit the repository to learn more about this ontology and explore a sample solution for ingesting OPC UA data into Azure Digital Twins. |
Next steps
To learn about extending existing industry-standard ontologies for your specific solution, see Extending industry ontologies.
To continue on the path for developing models based on ontologies, see Full model development path.