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Extracting Laboratory Front Pages from University Websites

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Advances in Network-Based Information Systems (NBiS 2017)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 7))

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Abstract

In this paper, we propose a method for extracting laboratory front pages from university websites. There are more than 779 universities and colleges in Japan. For selecting a university or a college, some high school students want to know what laboratories these universities or colleges have. To learn about these laboratories, high school students have to search the laboratory front pages from the university websites. However, sometimes it is difficult to find a laboratory front page because they are sometimes buried deep in the hierarchy of university websites. Our method extracts laboratory front pages by using a support vector machine model and applying certain rules. We also developed a laboratory search system that can be used to retrieve laboratory front pages extracted with our method. We evaluated our method and confirmed that is attained 85.0% precision and 65.5% recall.

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Notes

  1. 1.

    http://www.mext.go.jp/b_menu/toukei/chousa01/kihon/kekka/k_detail/1365622.htm.

  2. 2.

    http://taku910.github.io/mecab/.

  3. 3.

    http://hawk.ci.seikei.ac.jp/Lilas/.

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Acknowledgments

This work was supported by JSPS KAKENHI Grant Number 15K00315.

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Authors and Affiliations

  1. The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8654, Japan

    Hiroki Sakaji & Kiyoshi Izumi

  2. Seikei University, 3-3-1 Kichijoji-Kitamachi, Musashino-shi, Tokyo, 180-8633, Japan

    Atsuya Miyazaki & Hiroyuki Sakai

Authors
  1. Hiroki Sakaji
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  2. Atsuya Miyazaki
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  3. Hiroyuki Sakai
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  4. Kiyoshi Izumi
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Corresponding author

Correspondence to Hiroki Sakaji .

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Editors and Affiliations

  1. Department of Information and Communication Engineering, Faculty of Information Engineering, Fukuoka Institute of Technology, Fukuoka, Japan

    Leonard Barolli

  2. Rissho University, Tokyo, Japan

    Tomoya Enokido

  3. Hosei University, Tokyo, Japan

    Makoto Takizawa

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Sakaji, H., Miyazaki, A., Sakai, H., Izumi, K. (2018). Extracting Laboratory Front Pages from University Websites. In: Barolli, L., Enokido, T., Takizawa, M. (eds) Advances in Network-Based Information Systems. NBiS 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 7. Springer, Cham. https://doi.org/10.1007/978-3-319-65521-5_103

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  • DOI: https://doi.org/10.1007/978-3-319-65521-5_103

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65520-8

  • Online ISBN: 978-3-319-65521-5

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