Towards Real-time Program Awareness via Lexical Link Analysis

Abstract

DoD acquisition is an extremely complex system, comprised of myriad stakeholders processes, people, activities, and organizations in an effort to provide the most useful capabilities to warfighters at the best possible value to the government. This effort is being accomplished by acquisition analysts who despite years of experience are encumbered by mountains of available data. To assist the analyst, we consider that the cognitive interface between decision-makers and a complex system may be expressed in a range of terms or "features," i.e., specific vocabulary to describe attributes. This offers the opportunity to more easily compare two competing technologies, which, in turn, may be compared to the Navy warfighter requirements. This effort can allow decision-makers to become aware of what programs, systems, and specific features are available for acquisition and how well they match warfighter's needs and requirements with greater effect and immediacy - possibly in real-time. We present a data-driven automation method, namely, Lexical Link Analysis (LLA), to facilitate and automate acquisition system self-awareness.

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Document Details

Document Type
Technical Report
Publication Date
Apr 30, 2010
Accession Number
ADA529507

Entities

People

  • Doug Mackinnon
  • Shelley P. Gallup
  • Ying Zhao

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Artificial Intelligence
  • Business Administration
  • Complex Systems
  • Computational Science
  • Government Procurement
  • Governments
  • Information Science
  • Information Systems
  • Knowledge Management
  • Language
  • Link Analysis
  • Management Personnel
  • Named Entity Recognition
  • Natural Language Processing
  • Organizational Structure
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development