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dc.contributor.authorZhao, Ying
dc.contributor.authorGallup, Shelley
dc.contributor.authorMacKinnon, Doug
dc.date30-Apr-10
dc.date.accessioned2013-05-08T21:20:02Z
dc.date.available2013-05-08T21:20:02Z
dc.date.issued2010-04-30
dc.identifier.urihttp://hdl.handle.net/10945/33482
dc.descriptionProceedings Paper (for Acquisition Research Program)en_US
dc.description.abstractDoD acquisition is an extremely complex system, comprised of myriad stakeholders, processes, people, activities, and organizations in an effort to provide the most useful capabilities to warfighters at the best possible value to the government. This effort is being accomplished by acquisition analysts who despite years of experience are encumbered by mountains of available data. To assist the analyst, we consider that the cognitive interface between decision-makers and a complex system may be expressed in a range of terms or ''features,'' i.e., specific vocabulary to describe attributes. This offers the opportunity to more easily compare two competing technologies, which, in turn, may be compared to the Navy warfighter requirements. This effort can allow decision-makers to become aware of what programs, systems, and specific features are available for acquisition and how well they match warfighter''s needs and requirements with greater effect and immediacy''possibly in real-time. We present a data-driven automation method, namely, Lexical Link Analysis (LLA), to facilitate and automate acquisition system self-awareness.en_US
dc.description.sponsorshipNaval Postgraduate School Acquisition Research Programen_US
dc.publisherMonterey, California. Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleTowards Real-time Program Awareness via Lexical Link Analysis 'en_US
dc.typeTechnical Reporten_US
dc.contributor.departmentAcquisition Management
dc.contributor.departmentNPS Faculty
dc.subject.authorModeling & Simulationen_US
dc.identifier.npsreportNPS-AM-10-049
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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