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

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Authors
Zhao, Ying
Gallup, Shelley P.
MacKinnon, Douglas J.
Subjects
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
2011-09-27
Date
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. 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.
Type
Technical Report
Description
Department
Identifiers
NPS Report Number
NPS-AM-11-186
Sponsors
Naval Postgraduate School Acquisition Research Program
Funder
Format
Citation
Distribution Statement
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.
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