Note
Access to this page requires authorization. You can try signing in or changing directories.
Access to this page requires authorization. You can try changing directories.
This article defines important digital twin builder (preview) terminology. The list is alphabetically organized.
Important
This feature is in preview.
| Terminology | Definition |
|---|---|
| Base layer | Modeling concept. The base layer is the foundational set of delta tables designed to store both the ontology definitions and the instantiated ontology data. This layer organizes and preserves the core structures of the ontology, including the definitions of entity types, properties, relationship types, namespaces, and any metadata associated with the ___domain model. For more information, see Modeling data in digital twin builder (preview). |
| Contextualization | Feature. The contextualization feature allows you to further augment the context of your data by creating semantic relationship types between entity types in your ontology. For more information, see Perform contextualization. |
| Digital twin builder (preview) | Name of the product. Digital twin builder (preview) is a new item within the Real-Time Intelligence workload in Microsoft Fabric. It creates digital representations of real-world environments to optimize physical operations using data. For more information, see What is digital twin builder (preview)? |
| Digital twin builder flow | Feature. Digital twin builder flow items are created to execute mapping and contextualization operations. For more information, see Digital twin builder (preview) flow. |
| Digital twin builder item | Instance of digital twin builder created by a user. |
| Domain layer | Modeling concept. The ___domain layer is a structured set of normalized database views created from the base layer to present a clear representation of the instantiated ontology. This layer is built by arranging data from the base layer tables into views that directly reflect the logical structure and relationship types defined in the ___domain ontology. For more information, see Modeling data in digital twin builder (preview). |
| Explore (mode) | In Explore mode, you can view and explore your entity instances and time series data. |
| Explorer | Feature. The explorer in digital twin builder lets you identify assets from keywords, explore asset details, and visualize time series data. For more information, see Search and visualize your modeled data. |
| Mapping | Feature. The mapping feature allows you to create an ontology with semantically rich entity types, and hydrate it with data from various source systems in a simplified manner. For more information, see Mapping data to entity types in digital twin builder (preview). |
| Ontology | Concept. An ontology is a formal model that defines a set of concepts, entity types, properties, and relationship types within a specific ___domain, creating a shared vocabulary and framework for organizing information. Namespace, entity type, entity instance, property, relationship types, and relationship instances are the core elements of an ontology. You can use these elements to consistently define and represent complex knowledge. For more information, see Modeling data in digital twin builder (preview). |
| Relationship type | Contextualization concept. A relationship type is a link between two entity types created as part of a contextualization job. You can have relationship instances of a relationship type between two specific entity instances. For more information, see Contextualization. |
| Semantic canvas | UX component. The semantic canvas is the centerpiece for creating your ontology. In the canvas, you can create entity types, map data to their instances, and create semantic relationship types between entity types. For more information, see Using the semantic canvas in digital twin builder (preview). |