Adopting a DTDL industry ontology

Microsoft has partnered with domain experts to create DTDL model sets based on industry standards, to 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 has 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.	You can read more about the partnership with RealEstateCore and goals for this initiative in 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 has collaborated with Open Agile Smart Cities (OASC) and Sirus to provide a DTDL-based ontology for smart cities, starting with ETSI CIM NGSI-LD.	You can also read more about the partnerships and approach for smart cities in 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 was created to help 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), a global standard for energy grid assets management, power system operations modeling, and physical energy commodity market.	You can also read more about the partnerships and approach for energy grids in the following blog post: Energy Grid Ontology for Digital Twins.
Manufacturing	Manufacturing Ontologies	These ontologies were created to 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 are adapted from OPC UA, ISA95 and the Asset Administration Shell, three global standards widely used in the manufacturing space.	Visit the repository to read more about this ontology and explore a sample solution for ingesting OPC UA data into Azure Digital Twins.

Each ontology is focused on an initial set of models. You can contribute to the ontologies by suggesting extensions or other improvements through the GitHub contribution process in each ontology repository.

Next steps

Learn about extending existing industry-standard ontologies for your specific solution: Extending industry ontologies.

Or, continue on the path for developing models based on ontologies: Full model development path.