Inline Tagging is a tool designed to assist users in tagging or annotating content directly within the text of documents by highlighting the appropriate test string in the content. Inline Tagging empowers users to enrich content with meaningful annotations and metadata directly within the text, enhancing the organization, searchability, and accessibility of information within their organization.

Key functionalities and features of Inline Tagging:

  • Tagging Within Text: Users can insert tags or annotations directly into the body of the text with a user-friendly interface. This allows them to associate specific terms or concepts with relevant sections of the document.
  • Real-Time Tag Suggestions: The tool provides real-time suggestions for tags based on the content being annotated. These suggestions come from pre-defined vocabularies managed by Thesaurus Master.
  • Semantic Enrichment: Inline Tagging enhances the semantic richness of the content by associating it with standardized terms or concepts. This improves content organization, searchability, and interoperability across different systems and applications.
  • Consistency and Accuracy: By offering standardized tag suggestions and guidelines, Inline Tagging helps ensure consistency and accuracy in how content is annotated and indexed. This consistency is crucial for effective information retrieval and knowledge management.
  • Contextual Relevance: Users can tag content in context, meaning they can identify and annotate specific terms or phrases that are relevant to the surrounding text. This ensures that tags accurately reflect the meaning and context of the content.
  • Integration with Workflows: Integrates seamlessly with existing content creation and management workflows. Users can tag content during the authoring or editing process, streamlining the overall content annotation workflow.
  • Metadata Generation: Tags inserted using Inline Tagging serve as subject metadata for the document, providing additional context and information that can be used for indexing, categorization, and retrieval purposes.
  • Feedback and Collaboration: Includes features for users to provide feedback on tag suggestions or collaborate with others in the annotation process through the MAI Module. This facilitates collaboration and improves the quality of tagging efforts.