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Decision-Making Support Service Based on Technology Opportunity Discovery Model

  • Conference paper
U- and E-Service, Science and Technology (UNESST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 264))

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Abstract

This paper discribes InSciTe Advanced, a decision-making support service, based on TOD(technology opportunity discovery) model. TOD model is a logical model for discovery of emerging technologies and prediction of phase and speed on a technology life cycle. InSciTe Advanced is based on semantic technologies such as ontology, semantic repository and inference as well as text mining. It aims to provide multi-facet services on emerging technologies, their elements and alternations in all domain. InSciTe Advanced has major services such as trends and predictions, technology levels, relationship paths, roadmaps and competitiors and collaborators.

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References

  1. Porter, A.L., Detampel, M.J.: Technology opportunities analysis. Technological Forecasting and Social Change 49(3), 237–255 (1995)

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Author information

Authors and Affiliations

  1. Korea Institute of Science and Technology Information (KISTI), 335 Gwahnagno, Yuseong-gu, Daejeon, Korea, 305-806

    Mikyoung Lee, Seungwoo Lee, Jinhyung Kim, Dongmin Seo, Pyung Kim, Hanmin Jung, Jinhee Lee, Taehong Kim, Hee Kwan Koo & Won-Kyung Sung

  2. University of Science and Technology (UST), 113 Gwahangno, Yuseong-gu, Daejeon, Korea, 305-333

    Jinhee Lee, Taehong Kim & Hee Kwan Koo

Authors
  1. Mikyoung Lee
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  2. Seungwoo Lee
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  3. Jinhyung Kim
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  4. Dongmin Seo
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  5. Pyung Kim
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  6. Hanmin Jung
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  7. Jinhee Lee
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  8. Taehong Kim
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  9. Hee Kwan Koo
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  10. Won-Kyung Sung
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Editor information

Editors and Affiliations

  1. Multimedia Engineering Department, Hannam University, 133 Ojeong-dong, Daeduk-gu, Daejeon, Korea

    Tai-hoon Kim

  2. The Ohio State University, 470 Hitchcock Hall, 2070 Neil Avenue, 43210-1275, Columbus, OH, USA

    Hojjat Adeli

  3. Hosei University, 184-8584, Tokyo, Japan

    Jianhua Ma

  4. National Chiao Tung University, Hsinchu, Taiwan, R.O.C.

    Wai-chi Fang

  5. School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

    Byeong-Ho Kang

  6. Hannam University, Daejeon, Korea

    Byungjoo Park

  7. Oslo University College, Norway

    Frode Eika Sandnes

  8. Sungkyunkwan University, 110-745, Seoul, Republic of Korea

    Kun Chang Lee

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© 2011 Springer-Verlag Berlin Heidelberg

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Lee, M. et al. (2011). Decision-Making Support Service Based on Technology Opportunity Discovery Model. In: Kim, Th., et al. U- and E-Service, Science and Technology. UNESST 2011. Communications in Computer and Information Science, vol 264. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27210-3_34

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  • DOI: https://doi.org/10.1007/978-3-642-27210-3_34

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-27209-7

  • Online ISBN: 978-3-642-27210-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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