HUMINT Extraction and Fusion System
Abstract
The objective of this effort was to develop the HUMINT Processing Subsystem (HPS) which extracts and exploits information from text documents to help the Intelligent Fusion System (IFS) identify, locate, and track targets in hide and in the open. The goal of HPS was to accurately extract information from HUMINT (Human Intelligence) about targets to assist in candidate target identification and intent determination. Document sources include, but are not limited to, textbased message traffic and other text document sources such as Integrated Intelligence Production Reports (IIPRs), United States Message Text Formats (USMTFs), annotated imagery and imagery support data. Information of interest might include target name, size, location, movement, appearance, disappearance, etc. HUMINT typically includes both structured text (e.g., tables, lists) and free-form prose text (e.g., sentences, paragraphs), which can be processed to produce information of value to the IFS. Existing tools were tailored and extended to produce the HPS. The integration of the HPS with the IOTA (Infrastructure Operations Tool Access) system and GIP (Generic Intelligence Processor), known as the Information Extraction Processing System (IEPS), worked sufficiently at JEFX-04 to be recommended for transition.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jan 01, 2005
- Accession Number
- ADA430279
Entities
People
- Christopher Crowner
- Jeannette Neal
- John Gucwa
- Michael Crystal
- Michael Schiller
Organizations
- General Dynamics