# Semantic-aware analysis

Available in...

* Big Data Platform
* Cloud API Services Platform
* Cloud Big Data Platform
* Cloud Data Fabric
* Cloud Data Management Platform
* Data Fabric
* Data Management Platform
* Data Services Platform
* MDM Platform
* Qlik Cloud Enterprise Edition
* Qlik Talend Cloud Enterprise Edition
* Qlik Talend Cloud Premium Edition
* Real-Time Big Data Platform

From Talend Studio, you can use the Semantic-aware analysis to:

* Explore the semantic categories and query complex semantic relationships in the data you analyze.
* Create table analyses preconfigured with indicators and patterns that best suit the data.
* Index and enrich the ontology repository on the Elasticsearch server with semantic categories and analysis results.

The sequence of using the Semantic-aware approach to create pre-configured table analyses involves the following steps:

1. Connecting to a data source from Talend Studio, whether it is a database, a delimited file or Hive.

   For further information, see [Creating connections to data sources](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/creating-connections-to-data-sources).

2. Launching the Elasticsearch server where ontology indexes are stored.

   For further information, see [Launching the server and setting preferences](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/launching-server-and-setting-preferences).

3. Selecting a table in the data source or a view in a database connection and exploring semantic categories of data columns.

   You can also select to start a Semantic-aware analysis on a set of columns in a table. For further information, see [Exploring semantic categories of data columns](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/exploring-semantic-categories-of-data-columns).

4. Matching column metadata and semantic categories with the concepts from the Ontology repository and outputting the matching results to show the most relevant concepts.

   For further information, see [Matching column metadata and semantic categories with the concepts in the ontology repository](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/matching-column-metadata-and-semantic-categories-with-concepts-in-ontology-repository).

5. Defining attributes (semantic) for columns and enriching the Ontology repository with column metadata and semantic categories.

   For further information, see [Enriching the ontology repository](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/enriching-ontology-repository).

6. Running the recommended table analysis and enriching the Ontology repository with analysis results and indicators and patterns used on the analyzed columns.

   For further information, see [Defining the recommended table analysis](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/defining-recommended-table-analysis).

### In this section

* [Ontologies used in Talend Studio](https://help.qlik.com/talend/en-US/studio-user-guide/8.0-R2024-10/ontologies-used-in-studio)
* [Creating a pre-defined table analysis](https://help.qlik.com/talend/en-US/studio-user-guide/8.0-R2024-10/creating-pre-defined-table-analysis)
* [List of the indexes and regex categories used in the Semantic-aware analysis](https://help.qlik.com/talend/en-US/studio-user-guide/8.0-R2024-10/list-of-indexes-and-regex-categories-used-in-semantic-aware-analysis)
* [Accessing the semantic concepts stored in the ontology repository](https://help.qlik.com/talend/en-US/studio-user-guide/8.0-R2024-10/accessing-semantic-concepts-stored-in-ontology-repository)