Towards Real-Time Program Awareness via Lexical Link Analysis
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Authors
Zhao, Ying
Gallup, Shelley
MacKinnon, Douglas J.
Subjects
Data Analysis
Lexical Link Analysis, text mining, data mining, Program Elements, Major DoD Acquisition Programs, Universal Joint Task Lists, resource allocation, warfighters'' requirement, Urgent Need Statements, unstructured data, data-driven automation
Lexical Link Analysis, text mining, data mining, Program Elements, Major DoD Acquisition Programs, Universal Joint Task Lists, resource allocation, warfighters'' requirement, Urgent Need Statements, unstructured data, data-driven automation
Advisors
Date of Issue
2010-10-28
Date
28-Oct-10
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
DoD acquisition is an extremely complex system, comprised of myriad stakeholders, processes, people, activities, and organizational structures. We believe that the application of a data-driven automation system''namely, Lexical Link Analysis (LLA)''can facilitate acquisition researchers'' data sense-making dilemma and help reveal important connections (concepts) and patterns derived from dynamic, voluminous, and on-going data collection. In this past year, we have demonstrated the LLA method to discover valid associations among disparate, unstructured data sets that would have otherwise required lengthy and expensive man-hours to achieve. We analyzed how Trident Warrior 10 technology capabilities link to classified Navy Urgent Need Statements (UNSs). We validated lexical links against the links identified by human experts in the context of realistic, large-scale data sets. We demonstrated using the LLA methods to discover statistically significant correlations. We discovered that the current congressional budget justification practice for Research, Development, Test and Evaluation (RDT&E) tends to allocate resources to avoid overlapping efforts and to fund new and unique projects. We also discovered that the Program Elements (PEs) that match the warfighters'' requirements obtain more overall attention and less budget reduction compared to the ones without matches. This effort will result in assisting acquisition professionals in improving their decision-making among competing programs and in selecting those that satisfy Navy objectives, thus achieving the Navys goal of improved operational capability.
Type
Technical Report
Description
Sponsored Report (for Acquisition Research Program)
Series/Report No
Department
Acquisition Management
NPS Faculty
Identifiers
NPS Report Number
NPS-AM-10-174
Sponsors
Naval Postgraduate School Acquisition Research Program
Funder
Format
Citation
Distribution Statement
Approved for public release; distribution is unlimited.
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.