Category: Homeland Security

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  June 21, 2019

  Name Matching for Safer Borders

  Ensuring secure borders in a world with wide-ranging linguistic diversity is a real challenge. Name Matching can help.

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  June 12, 2019

  What is Relationship Extraction?

  Unstructured text contains a great deal of information about relationships between entities. Relationship Extraction finds them for you.

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  May 17, 2019

  NetOwl at SOFIC Conference, May 20-23

  Much valuable geolocational information is contained in text. The challenge is how to unlock it.

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  April 04, 2019

  Entity Extraction Helps Connect the Dots

  Taking down a criminal gang or a terrorist plot often requires being able to connect the dots across multiple unstructured data sources.

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  August 20, 2018

  Mining Social Media for Situational Awareness with Entity Extraction

  During unfolding crises, social media is often a source of valuable, real-time information for situational awareness and relief planning efforts.

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  July 23, 2018

  Filling in the Crime Intelligence Gaps with Entity Extraction

  Law enforcement agencies like the FBI receive high volumes of critical information in the form of unstructured data. Gleaning insights in a timely manner from all this unstructured data is often critical to resolving a case.

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