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On-site Knowledge Representation Tool for Employee-Driven Service Innovation

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New Frontiers in Artificial Intelligence (JSAI-isAI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10838))

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Abstract

Knowledge of service employees is an important source of innovation in the service sectors. It is a challenge to collect and share knowledge among service employees for utilization on a daily basis. In this study, several on-site knowledge representation tools and one test case are introduced to illustrate the effectiveness of knowledge representation tools applied at work. In addition, the advantages and effective use cases of different types of knowledge representation are also discussed.

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Acknowledgment

I appreciate the sincere support for this study by Wakoen and Keiju Healthcare System. This work was supported by JSPS KAKENHI Grant Number JP 15K16174 and 16H02916.

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Authors and Affiliations

  1. National Institute of Advance Industrial Science and Technology, Tokyo, Japan

    Kentaro Watanabe

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  1. Kentaro Watanabe
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Correspondence to Kentaro Watanabe .

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Editors and Affiliations

  1. Chiba University, Chiba, Japan

    Sachiyo Arai

  2. National Institute of Advanced Industrial Science and Technology, Ibaraki, Japan

    Kazuhiro Kojima

  3. Ochanomizu University, Tokyo, Japan

    Koji Mineshima

  4. Ochanomizu University, Tokyo, Japan

    Daisuke Bekki

  5. National Institute of Informatics, Tokyo, Japan

    Ken Satoh

  6. Fujitsu Laboratories Limited, Kanagawa, Japan

    Yuiko Ohta

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Watanabe, K. (2018). On-site Knowledge Representation Tool for Employee-Driven Service Innovation. In: Arai, S., Kojima, K., Mineshima, K., Bekki, D., Satoh, K., Ohta, Y. (eds) New Frontiers in Artificial Intelligence. JSAI-isAI 2017. Lecture Notes in Computer Science(), vol 10838. Springer, Cham. https://doi.org/10.1007/978-3-319-93794-6_28

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  • DOI: https://doi.org/10.1007/978-3-319-93794-6_28

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93793-9

  • Online ISBN: 978-3-319-93794-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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