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dc.contributor.authorZhao, Ying
dc.contributor.authorGallup, Shelley P.
dc.contributor.authorMacKinnon, Douglas J.
dc.date.accessioned2013-05-21T22:14:02Z
dc.date.available2013-05-21T22:14:02Z
dc.date.issued2011-09
dc.identifier.urihttp://hdl.handle.net/10945/33967
dc.description.abstractDod 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 oversome. 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 acquition data for validity. LLA was demonstrated to discover statistically significant correlation, and sutomatically extract the links that might require expensive mapower to perform otherwise. This year, we started to develop LLA from a demonstration to an operational capability and facilitate a wide 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 coonnections within and external to contributing or competing interests, as well as inform potential strategic choices available to decision-makers.en_US
dc.description.sponsorshipAcquisition Program, Graduate School of Business and Public Policyen_US
dc.language.isoen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.subjectLexical Link analysisen_US
dc.subjecttext miningen_US
dc.subjectdata miningen_US
dc.subjectprogram elementsen_US
dc.subjectmajor DoD acquisition programsen_US
dc.subjectuniversal joint task listsen_US
dc.subjectresource allocationen_US
dc.subjectwarfighters' equipmenten_US
dc.subjecturgent needs statementsen_US
dc.subjectunstructured dataen_US
dc.subjectdata-driven automationen_US
dc.titleA web service implementation for large scale automation, visualization, and real-time program-awareness via Lexical Link Analysisen_US
dc.typeReporten_US
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)
dc.identifier.npsreportNPS-GSBPP-11-012


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