Entity Profiling for Intelligence Using the Graphical Overview of Social and Semantic Interactions of People (GOSSIP) Software Tool

Abstract

GOSSIP is a software program designed to help analysts find important entities discussed in a document collection and uncover the nature of the connections among them. It uses computational model of semantic system to create ?meaning? representations of all the words/terms it encounters in the collection?including proper names. In this report we demonstrate that the semantic representation of proper names discussed in a document collection can be usefully queried to find out how strongly the entities are associated with a set of user−define qualities or concepts. We recommend that GOSSIP be trailed in contexts where intelligence analysts or those engaged in influence activities are forced to quickly develop situational awareness about individuals or organizations in a domain from large collections of relevant documents.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA551103

Entities

People

  • Peter Kwantes
  • Phil Terhaar

Organizations

  • Defence Research and Development Canada

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Agreements
  • Algorithms
  • Analysts
  • Classification
  • Criminals
  • Frequency
  • Intelligence Analysis
  • Intelligence Analysts
  • Judgment
  • Language
  • Materials
  • National Security
  • Natural Language Processing
  • Numbers
  • Security
  • Situational Awareness

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computational Linguistics
  • Systems Analysis and Design