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Development of the Method for the Appropriate Selection of the Successor by Applying Metadata to the Standardization Reports and Members

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Semantic Technology (JIST 2012)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7774))

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Abstract

In businesses and organizations, it is difficult to find the successor for various activities by considering a person’s knowledge and actual experience. In this study, we find the successor to a member of a standardization activity. By assigning metadata to profiles and annual activity reports of members engaged in standardization activities, the relationship between the profiles and the annual activity reports is described as an RDF graph and visualized with nodes and links. This paper has two objectives. Objective-1 is the development and evaluation of a method to design the best combination of search queries to discover an appropriate successor. Objective-2 is the proposal and evaluation of an easy and understandable visualization method of the successor search results obtained in objective-1. The proposed procedure nominates candidates for the successor effectively and the results are visualized in the case study.

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References

  1. Kashima, H.: Survey of Network Structure Prediction Methods. Journal of the Japanese Society for Artificial Intelligence 22(3), 344–351 (2007)

    Google Scholar 

  2. Matsumura, F., Kobayashi, I., Kamura, T., Kato, F., Takahashi, T., Ueda, H., Ohmukai, I., Takeda, H.: Collaboration between Linked Open Data of Museum Information and Regional Information. Information Processing Society of Japan, Computers and the Humanities Symposium, “JINMONKON 2011” Journal 2011(8), 403–408 (2011)

    Google Scholar 

  3. Matsuo, Y., Ishizuka, M.: Keyword Extraction from a Document Using Word Co-occurrence Statistical Information. Journal of Japanese Society for Artificial Intelligence 17(3), 217–227 (2002)

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. System Engineering Knowledge Improvement div., System Engineering Technology Unit, Fujitsu Limited., Tokyo, Japan

    Isaac Okada, Minoru Saito & Yoshiaki Oida

  2. Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan

    Hiroyuki Yamato & Kazuo Hiekata

  3. Faculty of Engineering, The University of Tokyo, Tokyo, Japan

    Shinya Miura

Authors
  1. Isaac Okada
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  2. Minoru Saito
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  3. Yoshiaki Oida
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  4. Hiroyuki Yamato
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  5. Kazuo Hiekata
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  6. Shinya Miura
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Editor information

Editors and Affiliations

  1. National Institute of Informatics, Tokyo, Japan

    Hideaki Takeda

  2. Nanjing University, China

    Yuzhong Qu

  3. Japan Advanced Institute of Science and Technology, Ishikawa, Japan

    Riichiro Mizoguchi

  4. Osaka University, Japan

    Yoshinobu Kitamura

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© 2013 Springer-Verlag Berlin Heidelberg

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Okada, I., Saito, M., Oida, Y., Yamato, H., Hiekata, K., Miura, S. (2013). Development of the Method for the Appropriate Selection of the Successor by Applying Metadata to the Standardization Reports and Members. In: Takeda, H., Qu, Y., Mizoguchi, R., Kitamura, Y. (eds) Semantic Technology. JIST 2012. Lecture Notes in Computer Science, vol 7774. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37996-3_17

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  • DOI: https://doi.org/10.1007/978-3-642-37996-3_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37995-6

  • Online ISBN: 978-3-642-37996-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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