Accession Number : ADA543915

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

Descriptive Note : Research paper


Personal Author(s) : Zhao, Ying ; Gallup, Shelley ; MacKinnon, Douglas

Full Text :

Report Date : 30 Apr 2011

Pagination or Media Count : 48

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 development of large amounts of unstructured and unformatted acquisition program data, which is narrowly useful but difficult to aggregate across the enterprise. Yet, acquisition analysts and decision-makers must analyze all types and spectrums of the available data to obtain a complete and understandable picture. This is a kind of systems non-congruence that has been difficult to overcome. For those embedded within the complexities of the acquisition community, this can be 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 visualization and validity. LLA was demonstrated to discover statistically significant correlations and automatically extract the links that might require expensive manpower to perform otherwise (imagine use of many contractors, continually looking through documentation and adding excerpts to categories of interest in various spreadsheets). This year, we started to develop LLA from a demonstration to an operational capability and facilitate a wider range of acquisition research applications.


Subject Categories : Computer Systems

Distribution Statement : APPROVED FOR PUBLIC RELEASE