A Web Service Implementation for Large-Scale Automation, Visualization, and Real-Time Program-Awareness Via Lexical Link Analysis

Abstract

DoD acquisition is an extremely complex system, comprised of myriad stakeholders, processes, people, activities, and organizational structures. Processes within this complex system are encumbered by the continuous creation of large amounts of unstructured and unformatted acquisition program data, which is narrowly useful, yet difficult to aggregate across the "enterprise." Acquisition analysts and decision-makers must analyze this available data to obtain a complete and understandable picture. This is a kind of systems non-congruence which has been difficult to overcome. For those embedded within the complexities of the acquisition community, this effort represents a daunting, if not impossible, task. We will apply a data-driven automation system, namely, Lexical Link Analysis (LLA), to facilitate acquisition researchers and decision-makers to recognize important connections (concepts) that form patterns derived from dynamic, ongoing data collection. The LLA technology and methodology is used to uncover and display relationships among competing programs and Navy-driven requirements. In the past year, we tested our method using samples of acquisition data for validity. LLA was demonstrated to discover statistically significant correlations, and automatically extract the links that might require expensive manpower to perform otherwise. This year, we started to develop LLA from a demonstration to an operational capability and facilitate a wider range of acquisition research applications. The resulting methodology can facilitate real-time awareness, reduce the workload of decision-makers, and make a profound impact on the long term success of acquisition strategies by revealing the current status of acquisition programs, and connections within and external to contributing or competing interests, as well as inform potential strategic choices available to decision-makers.

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Document Details

Document Type
Technical Report
Publication Date
Sep 27, 2011
Accession Number
ADA633873

Entities

People

  • Douglas J. MacKinnon
  • Shelley P. Gallup
  • Ying Zhao

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Biomedical
  • Energy and Power Technologies
  • Human Systems
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Business Administration
  • Complex Systems
  • Computer Programs
  • Computers
  • High Performance Computing
  • Information Science
  • Knowledge Management
  • Link Analysis
  • Logistics
  • Management Personnel
  • Natural Language Processing
  • Network Science
  • Organizational Structure
  • Risk Analysis
  • Three Dimensional
  • Web Service

Readers

  • Defense Acquisition Program Management
  • Distributed Systems and Data Platform Development
  • Systems Analysis and Design