Lexical Link Analysis Application: Improving Web Service to Acquisition Visibility Portal
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 on 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 and detecting data 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 data for the relations among these categories. LLA, however, is able to discover in detail where the gaps and inconsistencies in the data reside. The 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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 30, 2013
- Accession Number
- ADA591734
Entities
People
- Douglas J. MacKinnon
- Shelley P. Gallup
- Ying Zhao
Organizations
- Naval Postgraduate School