Among the Classification Tags, OpenMetadata has some System Classification. Learn more about the [System Tags](/how-to-guides/data-governance/glossary-classification/classification).
Apart from adding the tags directly, users can also request to update tags. This is typically done when the user wants another opinion on the tag being added, or if the user does not have access to add tags directly.
Once a task has been created, it is displayed in the **Activity Feeds & Tasks** tab for that Data Asset. The assignees, can either `Accept the Suggestion` or `Edit and Accept the Suggestion`. Assignees can also add a **Comment**. They can also add other users as **Assignees**.
caption="Conversation: Reply, React, Edit or Delete"
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## Auto-Classification in OpenMetadata
OpenMetadata identifies PII data and auto tags or suggests the tags. The data profiler automatically tags the PII-Sensitive data. The addition of tags about PII data helps consumers and governance teams identify data that needs to be treated carefully.
In the example below, the columns ‘user_name’ and ‘social security number’ are auto-tagged as PII-sensitive. This works using NLP as part of the profiler during ingestion.
alt="Column Name does not provide much information"
caption="Column Name does not provide much information"
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When we look at the content of the column ‘dwh_x10’ in the Sample Data tab, it becomes clear that the auto-classification is based on the data in the column.
You can read more about [Auto PII Tagging](https://docs.open-metadata.org/v1.1.x/connectors/ingestion/auto_tagging) here.
## Tag Mapping
Tag mapping is supported in the backend and not in the OpenMetadata UI. When two related tags are associated with each other, applying one tag, automatically applies the other tag. For example, when the tag `Personal Data.Personal` is applied, it automatically applies another tag `Data Classification.Confidential`. That way, applying the tag `Personal` automatically applies the tag `Confidential`.
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