Auto-tagging is the automatic application of taxonomy to content components. Authoring teams can import or create their taxonomies from scratch and apply them automatically to content components. The human-in-the-loop approach allows the authors to review the tags before they are applied to the documents or the content component. 

The tool that performs this auto-tagging action scans the content component and searches for and defines semantic meaning. As a result of this analysis, a set of tags are automatically applied to the component while allowing the author to deselect or apply tags they might consider appropriate. This manual intervention means the tool allows a human-in-the-loop process where a human can validate the information. 

Auto-tagging is a steppingstone for creating intelligent content. Intelligent content allows organizations to modernize their content operations by automating business operations with the help of semantic content hubs, structured content, and taxonomy.

Example use cases

  • Intelligent semantic search
  • Intelligent insights based on knowledge graphs
  • Internet of Things (IoT) devices and cognitive services
  • Intelligent content hubs

Key benefits

  • Increase information findability and relevancy in publications 
  • Offer relevant and contextual search results within your document authoring experience 
  • Allow field service teams to have a streamlined collaboration with in-office teams 
  • Achieve goals with categorization, faceted search and recommendations