Model design
Model Design is the core modeling engine of the Knowledge Graph Platform. It provides end-to-end visual modeling capabilities, from ontology definition to version release, allowing you to build structured semantic networks with a low barrier to entry and laying the data foundation for subsequent knowledge storage, inference, and application.
Overview
Entity types and relationship types
You can create, edit, and delete entity types and relationship types, which form the basic structure of a graph.
Entities are connected by directed relationships, forming a semantic network topology that intuitively expresses business logic.
Both entity types and relationship types support custom attribute fields, enabling fine-grained semantic extension.
Provides a standardized input source for higher-level functions, such as knowledge management and knowledge query.
Visual Interactive Canvas
The current model structure is presented in a graphical topology view, where nodes represent entities and edges represent relationships.
You can zoom, view details, and add new nodes to enhance the modeling experience.
The canvas and the left-side configuration panel are synchronized in real time, ensuring a WYSIWYG experience.
Model publishing and version history
The version history of each release is automatically recorded, including details such as timestamps and operators, to form a complete audit trail.