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Title: Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
Authors: Ying Zhao
Shelley P. Gallup
Douglas J. MacKinnon
Keywords: Lexical Link Analysis
Text Mining
Acquisition Visibility Portal
Unstructured Data
Data Quality
Authoritative Data Service
Accurate Data Service
Resource Management
Issue Date: 30-Sep-2013
Publisher: Acquisition Research Program
Citation: Published--Unlimited Distribution
Series/Report no.: Lexical Link Analysis
Abstract: Lexical Link Analysis (LLA) is a form of text mining in which word meanings are represented in lexical terms (e.g., word pairs) of a word network. In the past, we have shown how LLA can systematically and automatically discover new patterns in large-scale defense acquisition data of multiple programs as indicators for program or investment performances. We also started to apply LLA to understand the quality of the data by comparing categories of information, detecting data and gaps. Last year, we examined the Acquisition Visibility Portal (AVP), which is a critical tool that provides the DoD-wide acquisition community with authoritative and accurate data services. We reported the first program from AVP to have undergone a relatively comprehensive LLA analysis. This year, we found that there is much consensus or consistency in the various categories (e.g., acquisition and engineering communities) of artifacts, yet gaps or low correlations seem to characterize the majority of the examined data for the relations among these categories. LLA, however, is able to discover in detail where the gaps and inconsistencies of the data reside. The depicted findings offered in this report can help decision-makers improve their resource and big data management, to better understand how particular acquisition strategies may affect the desired return on investment (ROI) among projects.
Description: Acquisition Management / NPS Faculty Research
Appears in Collections:Sponsored Acquisition Research & Technical Reports

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