Experiments on quantitative technology trends analysis from the internet news resources

Shin Ichi Kobayashi, Yasuyuki Shirai, Kazuo Hiyane, Fumihiro Kumeno, Hiroshi Inujima, Noriyoshi Yamauchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In business or technology planning, it is strongly required to grasp the overall technology trends and predict what will happen in the near future. A deluge of technology information in recent years, however, makes it quite difficult even by domain experts. We have developed the environment where we can detect and analyze the technology trends from the Internet news resources. In our system, we define several quantitative indicators, such as importance and influence of each keyword in the target field, and relativity and superiority of relationships between keywords. According to these indicators, our system detects key concepts around the target field and provides an environment to analyze the technology trends of the target field. In this article, we report some experimental results using our system based on the content from IT news sites, shows the effectiveness or validity of our method compared with human experts' evaluations, and discuss the feasibility to grasp technology trends from the Internet resources automatically in the future.

Original languageEnglish
Title of host publicationProceedings of ISSI 2005: 10th International Conference of the International Society for Scientometrics and Informetrics
Pages544-555
Number of pages12
Volume2
Publication statusPublished - 2005
Event10th Biennial International Conference of the International Society for Scientometrics and Informetrics, ISSI 2005 - Stockholm
Duration: 2005 Jul 242005 Jul 28

Other

Other10th Biennial International Conference of the International Society for Scientometrics and Informetrics, ISSI 2005
CityStockholm
Period05/7/2405/7/28

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ASJC Scopus subject areas

  • Computer Science Applications
  • Management Science and Operations Research
  • Applied Mathematics
  • Modelling and Simulation
  • Statistics and Probability

Cite this

Kobayashi, S. I., Shirai, Y., Hiyane, K., Kumeno, F., Inujima, H., & Yamauchi, N. (2005). Experiments on quantitative technology trends analysis from the internet news resources. In Proceedings of ISSI 2005: 10th International Conference of the International Society for Scientometrics and Informetrics (Vol. 2, pp. 544-555)