Ontology

Ontology organizes enterprise business objects, relationships, and calculation definitions into business knowledge that Digital Workers can use. Ontology Model and Data Mapping can be configured separately within an ontology space to support collaborative construction in different customer scenarios: different users can share the work, or complete it in stages over time. Each ontology space has four tabs: Ontology Model, Data Mapping, Semantic Optimization, and Validate and Publish. Define business meaning first, associate data, then validate and publish it for Digital Workers to use.

Continue Based on Your Goal

Create an Ontology

Use business materials and data tables for AI-assisted construction, or create an ontology manually.

Ontology Specifications

Standardize team requirements and check that definitions follow them.

Ontology Model

Maintain objects, relationships, business processes, logic, rules, metrics, and Analysis Views.

Data Mapping

Associate physical data, resolve missing mappings, and switch data sources.

Semantic Optimization

Review optimization suggestions from issue diagnosis and session scanning.

Validate and Publish

Review pending changes and their impact.