--- title: Map Terms using AI-driven semantic mapping description: "AI Mapping is an automated solution powered by a Large Language Model (LLM) that matches and reconciles data models, including both individual/multiple terms (columns/attributes) and complex expressions.\nIt provides a semantic bridge between Sources and a Target Model Object, understanding the underlying business context to generate accurate mappings and expression transformations." --- [Skip to content](https://knowledge.bigenius-x.com/map-terms-using-ai-driven-semantic-mapping#main-content) [Contact us](https://knowledge.bigenius-x.com/kb-tickets/new?hsLang=en) [Go to Customer Portal](https://knowledge.bigenius-x.com/customer-portal?hsLang=en) [![TRI\_Logo\_biGENIUS\_2020\_RGB\_s](https://knowledge.bigenius-x.com/hs-fs/hubfs/Marketing/TRI_Logo_biGENIUS_2020_RGB_s.png?width=150&height=42&name=TRI_Logo_biGENIUS_2020_RGB_s.png)](https://www.bigenius-x.com/) Open main navigation Close main navigation - [Contact us](https://knowledge.bigenius-x.com/kb-tickets/new) - [Go to Customer Portal](https://knowledge.bigenius-x.com/customer-portal) How can we help you? - There are no suggestions because the search field is empty. 1. [biGENIUS-X Knowledge Base](https://knowledge.bigenius-x.com/?hsLang=en) 2. [Artificial Intelligence](https://knowledge.bigenius-x.com/artificial-intelligence?hsLang=en) # Map Terms using AI-driven semantic mapping **AI Mapping** is an automated solution powered by a **Large Language Model** (LLM) that matches and reconciles data models, including both individual/multiple terms (columns/attributes) and complex expressions. It provides a **semantic bridge between Sources and a Target Model Object**, understanding the underlying business context to generate accurate mappings and expression transformations. Unlike simple name matching, it uses semantic intelligence to understand meaning even when names differ, work across multiple languages, and expand abbreviations into full names. The solution can **create or update terms, mappings, and expressions**, producing validated, schema-checked, implementation-ready actions that can be safely applied. ### Map Terms using AI To **map Terms using AI-driven semantic mapping**, access the [**Term Mapping overview**](https://knowledge.bigenius-x.com/understand-term-mapping-overview?hsLang=en) page for a Model Object: ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Jan-15-2026-02-51-22-9092-PM.png?width=670&height=249&name=image-png-Jan-15-2026-02-51-22-9092-PM.png) Open the Source Model Object **context** menu and choose the **AI Term Mapping** option: ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Jan-15-2026-02-52-33-5538-PM.png?width=670&height=438&name=image-png-Jan-15-2026-02-52-33-5538-PM.png) You can open the AI Term Mapping from any Source Model Object. All the Source Model Objects will be taken care. The **AI-Powered Term Mapping** pop-up displays: ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Jan-15-2026-02-54-39-9839-PM.png?width=670&height=344&name=image-png-Jan-15-2026-02-54-39-9839-PM.png) You can write some optional instructions to help the AI propose the correct mapping. Example: *The sales amount is the order quantity \* the unit price. It is similar for the discount amount, but consider the discount. The profit includes unit price and discount. product cost amount depends on standard cost with quantities.* Click on the **NEXT** button. The AI proposes mapping according to the Term names and the optional instructions provided: ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Jan-15-2026-03-38-15-8666-PM.png?width=670&height=341&name=image-png-Jan-15-2026-03-38-15-8666-PM.png) If this fits your expectations, click on the **APPLY** button. The mapping proposed by the AI Term Mapping is added to your target Model Object: ![](https://knowledge.bigenius-x.com/hs-fs/hubfs/image-png-Jan-15-2026-03-40-18-0998-PM.png?width=670&height=279&name=image-png-Jan-15-2026-03-40-18-0998-PM.png) ### Demonstration video   - [Getting started](https://knowledge.bigenius-x.com/getting-started?hsLang=en#main-content) - [Guidelines](https://knowledge.bigenius-x.com/getting-started?hsLang=en#guidelines) - [Start working](https://knowledge.bigenius-x.com/getting-started?hsLang=en#start-working) - [Account](https://knowledge.bigenius-x.com/getting-started?hsLang=en#account) - [General overview](https://knowledge.bigenius-x.com/general-overview?hsLang=en) - [Artificial Intelligence](https://knowledge.bigenius-x.com/artificial-intelligence?hsLang=en) - [Application Modules](https://knowledge.bigenius-x.com/application-modules?hsLang=en#main-content) - [Administration](https://knowledge.bigenius-x.com/application-modules?hsLang=en#administration) - [Solutions](https://knowledge.bigenius-x.com/application-modules?hsLang=en#solutions) - [Global Features](https://knowledge.bigenius-x.com/application-modules?hsLang=en#global-features) - [Projects](https://knowledge.bigenius-x.com/application-modules?hsLang=en#projects) - [Branches](https://knowledge.bigenius-x.com/application-modules?hsLang=en#branches) - [Data Connections](https://knowledge.bigenius-x.com/application-modules?hsLang=en#data-connections) - [Dataflow Modeling - Overview](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-overview) - [Dataflow Modeling - Wizard Steps](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-wizard-steps) - [Dataflow Modeling - Terms](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-terms) - [Dataflow Modeling - Term Mapping](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-term-mapping) - [Dataflow Modeling - Relationships](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-relationships) - [Dataflow Modeling - Data Quality](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-data-quality) - [Dataflow Modeling - Indexes](https://knowledge.bigenius-x.com/application-modules?hsLang=en#dataflow-modeling-indexes) - [Relationship Modeling](https://knowledge.bigenius-x.com/application-modules?hsLang=en#relationship-modeling) - [Generate Artifacts](https://knowledge.bigenius-x.com/application-modules?hsLang=en#generate-artifacts) - [Project Settings](https://knowledge.bigenius-x.com/application-modules?hsLang=en#project-settings) - [Data Marketplace](https://knowledge.bigenius-x.com/application-modules?hsLang=en#data-marketplace) - [Generators](https://knowledge.bigenius-x.com/generators?hsLang=en#main-content) - [Fabric Warehouse](https://knowledge.bigenius-x.com/generators?hsLang=en#fabric-warehouse) - [Fabric Lakehouse](https://knowledge.bigenius-x.com/generators?hsLang=en#fabric-lakehouse) - [Databricks](https://knowledge.bigenius-x.com/generators?hsLang=en#databricks) - [Snowflake](https://knowledge.bigenius-x.com/generators?hsLang=en#snowflake) - [Microsoft SQL Server](https://knowledge.bigenius-x.com/generators?hsLang=en#microsoft-sql-server) - [Artifacts](https://knowledge.bigenius-x.com/generators?hsLang=en#artifacts) - [Replace Placeholders](https://knowledge.bigenius-x.com/generators?hsLang=en#replace-placeholders) - [Target solution environment](https://knowledge.bigenius-x.com/generators?hsLang=en#target-solution-environment) - [Deployment](https://knowledge.bigenius-x.com/generators?hsLang=en#deployment) - [Deployment with an Azuze DevOps pipeline](https://knowledge.bigenius-x.com/generators?hsLang=en#deployment-with-an-azuze-devops-pipeline) - [Delta Deployment](https://knowledge.bigenius-x.com/generators?hsLang=en#delta-deployment) - [Load control environment](https://knowledge.bigenius-x.com/generators?hsLang=en#load-control-environment) - [Load data with a native load control](https://knowledge.bigenius-x.com/generators?hsLang=en#load-data-with-a-native-load-control) - [Load data with Apache Airflow](https://knowledge.bigenius-x.com/generators?hsLang=en#load-data-with-apache-airflow) - [Model Object Type](https://knowledge.bigenius-x.com/generators?hsLang=en#model-object-type) - [Properties](https://knowledge.bigenius-x.com/generators?hsLang=en#properties) - [Default Terms](https://knowledge.bigenius-x.com/generators?hsLang=en#default-terms) - [Discovery application](https://knowledge.bigenius-x.com/discovery-application?hsLang=en#main-content) - [Discovery configurations](https://knowledge.bigenius-x.com/discovery-application?hsLang=en#discovery-configurations) - [Best practices](https://knowledge.bigenius-x.com/best-practices?hsLang=en#main-content) - [Modeling Approaches](https://knowledge.bigenius-x.com/best-practices?hsLang=en#modeling-approaches) - [Use Cases](https://knowledge.bigenius-x.com/best-practices?hsLang=en#use-cases) - [Business Rules](https://knowledge.bigenius-x.com/best-practices?hsLang=en#business-rules) - [Data Quality Rules](https://knowledge.bigenius-x.com/best-practices?hsLang=en#data-quality-rules) - [FAQs](https://knowledge.bigenius-x.com/faqs?hsLang=en) - [Product Release Notes](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#main-content) - [SaaS Application](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#saas-application) - [Discovery application](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#discovery-application) - [Generators](https://knowledge.bigenius-x.com/product-release-notes?hsLang=en#generators) - [Legal Documents](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#main-content) - [Current legal docs](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#current-legal-docs) - [Software Product and Limits](https://knowledge.bigenius-x.com/legal-documents?hsLang=en#software-product-and-limits) - [Contact us](https://knowledge.bigenius-x.com/kb-tickets/new?hsLang=en) - [Customer Portal](https://knowledge.bigenius-x.com/customer-portal) - [Sign in](https://knowledge.bigenius-x.com/_hcms/mem/login) [![biGENIUS logo](https://knowledge.bigenius-x.com/hubfs/TRI_Logo_biGENIUS_2020_RGB-1.svg "biGENIUS logo")](https://www.bigenius-x.com) All rights reserved © 2025, biGENIUS AG