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A Keyword Recommendation Method Using CorKeD Words and Its Application to Earth Science Data

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Information Retrieval Technology (AIRS 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9460))

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Abstract

In various research domains, data providers themselves annotate their own data with keywords from a controlled vocabulary. However, since selecting keywords requires extensive knowledge of the domain and the controlled vocabulary, even data providers have difficulty in selecting appropriate keywords from the vocabulary. Therefore, we propose a method for recommending relevant keywords in a controlled vocabulary to data providers. We focus on a keyword definition, and calculate the similarity between an abstract text of data and the keyword definition. Moreover, considering that there are unnecessary words in the calculation, we extract CorKeD (Corpus-based Keyword Decisive) words from a target domain corpus so that we can measure the similarity appropriately. We conduct an experiment on earth science data, and verify the effectiveness of extracting the CorKeD words, which are the terms that better characterize the domain.

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Notes

  1. 1.

    http://pro.europeana.eu/publication/metadata-quality-task-force-report.

  2. 2.

    http://www.diasjp.net/.

  3. 3.

    http://gcmd.nasa.gov/.

  4. 4.

    https://delicious.com/.

  5. 5.

    http://sites.agu.org/.

  6. 6.

    Chemistry : Journal of the American Chemical Society

    Physics : The European physical journal

    Biology : International journal of biological sciences, Journal of evolutionary biology.

  7. 7.

    http://abstractsearch.agu.org/keywords.

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Author information

Authors and Affiliations

  1. Graduate School of Informatics, Kyoto University, Yoshida-Honmachi, Sakyo-ku, Kyoto, 606-8501, Japan

    Youichi Ishida, Toshiyuki Shimizu & Masatoshi Yoshikawa

Authors
  1. Youichi Ishida
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  2. Toshiyuki Shimizu
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  3. Masatoshi Yoshikawa
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Corresponding author

Correspondence to Youichi Ishida .

Editor information

Editors and Affiliations

  1. Science and Engineering Faculty, Queensland University of Technology, Brisbane, Australia

    Guido Zuccon

  2. Brisbane, Queensland, Australia

    Shlomo Geva

  3. University of Tsukuba, Ibaraki, Japan

    Hideo Joho

  4. RMIT University, Melbourne, Australia

    Falk Scholer

  5. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Aixin Sun

  6. Tianjin University, China

    Peng Zhang

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© 2015 Springer International Publishing Switzerland

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Ishida, Y., Shimizu, T., Yoshikawa, M. (2015). A Keyword Recommendation Method Using CorKeD Words and Its Application to Earth Science Data. In: Zuccon, G., Geva, S., Joho, H., Scholer, F., Sun, A., Zhang, P. (eds) Information Retrieval Technology. AIRS 2015. Lecture Notes in Computer Science(), vol 9460. Springer, Cham. https://doi.org/10.1007/978-3-319-28940-3_8

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  • DOI: https://doi.org/10.1007/978-3-319-28940-3_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-28939-7

  • Online ISBN: 978-3-319-28940-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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