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Application for Temporal Analysis of Scientific Technology Information

  • Myunggwon Hwang
  • Do-Heon Jeong
  • Jinhyung Kim
  • Jangwon Gim
  • Sa-kwang Song
  • Sajjad Mazhar
  • Hanmin Jung
  • Shuo Xu
  • Lijun Zhu
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 274)

Abstract

In recent, business intelligence becomes one of important issues due to various analyses on technology trends. Especially, understanding the relations and influences between technologies is core property for the high-performed analysis. To do this, a few works have utilized ontologies constructed automatically but still have many errors and it causes difficulty while interpreting technology trends. Therefore this paper introduces an application which visualizes relationships and influences between technologies according to time series. Our application provides clues for intuitive observations of relationship change between technologies.

Keywords

Technology information temporal analysis business intelligence co-occurrence 

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References

  1. 1.
    Kim, J., Hwang, M., Jeong, D.-H., Jung, H.: Technology Trends Analysis and Forecasting Application based on Decision Tree and Statistical Feature Analysis. Expert Systems with Applications 39, 12618–12625 (2012)CrossRefGoogle Scholar
  2. 2.
    Hwang, M.-N., Seo, D., Lee, S., Cho, M., Song, S.-K., Lee, J., Hong, S.-C., Choi, S.-P., Jung, H.: Ontology Model of Technical Knowledge for Analytics. In: Proceedings of International Conference on Smart Media and Applications, pp. 13–14 (2012)Google Scholar
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    Hwang, M.-N., Lee, S., Cho, M., Kim, S.Y., Choi, S.-P., Jung, H.: Ontology Construction of Technological Knowledge for R&D Trend Analysis. The Journal of the Korea Contents Association 12(12), 35–45 (2012)CrossRefGoogle Scholar
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    Kim, J., Jeong, D.-H., Lee, D., Jung, H.: User-centered Innovative Technology Analysis and Prediction Application in Mobile Environment. Multimedia Tools and Applications (to appear)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Myunggwon Hwang
    • 1
  • Do-Heon Jeong
    • 1
  • Jinhyung Kim
    • 1
  • Jangwon Gim
    • 1
  • Sa-kwang Song
    • 1
  • Sajjad Mazhar
    • 1
    • 2
  • Hanmin Jung
    • 1
  • Shuo Xu
    • 3
  • Lijun Zhu
    • 3
  1. 1.Korea Institute of Science and Technology Information (KISTI)DaejeonSouth Korea
  2. 2.Korean University of Science and Technology (UST)DaejeonSouth Korea
  3. 3.Information Technology Supporting CenterInstitute of Scientific and Technical Information of ChinaHuludaoP.R. China

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