Supporting Technical Decision-Making with InSciTe®

نویسندگان

  • Seungwoo Lee
  • Mikyoung Lee
  • Hanmin Jung
  • Pyung Kim
  • Taehong Kim
  • Dongmin Seo
  • Won-Kyung Sung
چکیده

Most researchers are experiencing difficulties in making decisions on their R&D due to information overload. In order to improve research productivity of researchers as well as to support systematic research and development, we have developed InSciTe as a technology intelligence service, which aims to support decision-making processes, especially in establishing R&D strategy. It has been implemented by combining Semantic Web and text mining technologies, analyzes relations among technologies, research agents and research outcomes and provides killer services in the viewpoints of discovery, combination and comparison. Comparison with existing analytic tools will be presented.

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تاریخ انتشار 2010