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Title: Lexical Link Analysis (LLA) Application: Improving Web Service to Defense Acquisition Visibility Environment
Authors: Ying Zhao
Douglas J. MacKinnon
Shelley P. Gallup
Keywords: Lexical Link Analysis
Big Data
Big Acquisition Data
Big Data Architecture
Big Data Analytics.
Issue Date: 30-Sep-2015
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Modeling & Simulation
Abstract: This research continues inquiry into mining the large amounts of information (Big Data) contained within the DOD acquisition process. There is a critical need for automation, validation, and discovery to help acquisition professionals, decision makers and researchers understand the important content within large data sets and optimize DoD resources throughout the processes. Lexical Link Analysis (LLA) helps by applying automation to reveal and depict to decision-makers the correlations, associations, and program gaps across all, or subsets of, acquisition programs examined over many years. This enables strategic understanding of data gaps and potential trends, and can inform managers where areas might be exposed to higher program risk, and how resource and big data management might affect the desired return on investment (ROI) among projects. Specifically, this research describes new developments in analytics and visualization, how LLA is adaptive to Big Data Architecture and Analytics (BDAA), and reveals needs for Big Acquisition Data used in Defense Acquisition Visibility Environment (DAVE).
Description: Acquisition Management / NPS Faculty Research
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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