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Mining Conference Proceedings For Corporate Technology Knowledge Management

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Author Info

  • ROBERT J. WATTS

    ()
    (US Army Tank and Automotive Research, Development & Engineering Center, USA)

  • ALAN L. PORTER

    ()
    (Search Technology, Inc., Norcross, Georgia and Technology Policy & Assessment Center, Georgia Tech, Atlanta, Georgia, USA)

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    Abstract

    An organization's knowledge gained through technical conference attendance is generally isolated to the individual(s) attending the event. The aggregate corporate knowledge is extremely limited, unless the organization institutes a process to document and transfer that knowledge to the organization. Even if such a process exists, the knowledge gains are limited to the experiences and communication skills of the individuals attending the conference. Many conference proceedings are now published and provided to attendees in electronic format, such as on CD-ROM and/or published on the internet, such as IEEE conference proceedings listed at . These proceedings provide a rich repository that can be mined. Paper abstract compilations reflect "hot topics," as defined by the researchers in the field, and delineate the technical approaches being applied. R&D profiling can more fully exploit recorded conference proceedings' research to enhance corporate knowledge. This paper illustrates the potential in profiling conference proceedings through use of WebQL information retrieval and TechOasis (VantagePoint) text mining software. It shows how tracking research patterns and changes over a sequence of conferences can illuminate R&D trends, map dominant issues, and spotlight key research organizations.

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    Bibliographic Info

    Article provided by World Scientific Publishing Co. Pte. Ltd. in its journal International Journal of Innovation and Technology Management.

    Volume (Year): 04 (2007)
    Issue (Month): 02 ()
    Pages: 103-119

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    Handle: RePEc:wsi:ijitmx:v:04:y:2007:i:02:p:103-119

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    Web page: http://www.worldscinet.com/ijitm/ijitm.shtml

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    Related research

    Keywords: Technology intelligence; data mining;

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    Cited by:
    1. Leone, Robert P. & Robinson, Larry M. & Bragge, Johanna & Somervuori, Outi, 2012. "A citation and profiling analysis of pricing research from 1980 to 2010," Journal of Business Research, Elsevier, vol. 65(7), pages 1010-1024.

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