Automatic discovery and tagging of entities of interest

IBM® i2® Text Chart Auto Mark is a desktop application that automatically discovers and highlights entities of interest within a wide variety of documents, including emails and websites. As well as transforming text-based information into a structured graphical format, i2 Text Chart Auto Mark can automatically discover and tag key items and match them against data stored in an IBM i2 iBase intelligence repository. This streamlines the process of quickly and accurately transcribing documentary textual information into actionable intelligence.

  • Automatically discover, and tag entities of interest. Automated highlighting of entities of interest that can then be used for analysis purposes.
  • Automated process saves time and reduces errors. Achieve productivity gains by automating previously manual processes, enabling quick and accurate extraction of valuable information from volumes of unstructured data.
  • Quickly find matches between new and existing entities. Identify when findings relate to items already stored within a connected IBM i2 iBase database.

Automatically discover, tag and extract entities of interest

  • Discover, tag and extract entities of interest from a wide variety of documents, including emails and websites.
  • Automated highlighting and pre-mark-up of documents as they are loaded into i2 Text Chart.
  • Streamline process of quickly and accurately transcribing textual information into human-vetted, actionable intelligence.
  • Share extracted data through i2 Analyst’s Notebook® and i2 iBase.

Automated process saves time and reduces errors

  • Automated background service pre-processes large quantities of documents as they arrive on the Windows file system.
  • Desktop and email alerts honed to identify matches on the Watch List and provide instant feedback on items of interest in i2 Text Chart Auto Mark.
  • Powerful, user-configurable pattern matching for specific queries that help uncover important data.

Quickly find matches between new and existing entities.

  • Used in conjunction with iBase, newly identified entities can be searched, identified, compared and matched to those already stored in the connected intelligence repository, helping to uncover “buried” high-value information in i2 Text Chart Auto Mark.
  • Predefined Watch Lists support the discovery process guiding autonomous mark-up of documents.

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Suggested mark-ups for inclusion in Text Chart visualization

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Monitoring window system files to automatically ingest new content

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Finding existing entities in an aligned iBase repository

Suggested mark-ups for inclusion in Text Chart visualization

Monitoring window system files to automatically ingest new content

Finding existing entities in an aligned iBase repository

i2 product resources

i2 Text Chart Auto Mark

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