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Category: Homeland Security
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.
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.
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.
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.
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.
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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