IDEAS home Printed from https://ideas.repec.org/h/wsi/wschap/9789813234482_0004.html
   My bibliography  Save this book chapter

Automatic Identification of Research Articles Containing Data Usage Statements

In: Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017)

Author

Listed:
  • Qiuzi Zhang
  • Wei Lu
  • Yunhan Yang
  • Haihua Chen
  • Jiangping Chen

Abstract

Modern scientific research is characterized with sharing datasets and reusing data for developing new models and theories. This paper describes a study to identify research articles with data use and reuse information. Applying a bootstrapping-based unsupervised training strategy, we were able to develop text patterns automatically out of a large training collection of research articles. These patterns were then used to distinguish articles with data use and reuse from those without data usage. Our experiments using Computer Science literature showed that the identification could achieve more than 85% pattern extensibility. We also demonstrate how the results of the identification could be utilized to gain insights on data sharing and reuse in a scientific field.

Suggested Citation

  • Qiuzi Zhang & Wei Lu & Yunhan Yang & Haihua Chen & Jiangping Chen, 2017. "Automatic Identification of Research Articles Containing Data Usage Statements," World Scientific Book Chapters, in: Daniel Gelaw Alemneh & Jeff Allen & Suliman Hawamdeh (ed.), Knowledge Discovery and Data Design Innovation Proceedings of the International Conference on Knowledge Management (ICKM 2017), chapter 4, pages 67-87, World Scientific Publishing Co. Pte. Ltd..
    • Handle: RePEc:wsi:wschap:9789813234482_0004
    as

    Download full text from publisher

    File URL: https://www.worldscientific.com/doi/pdf/10.1142/9789813234482_0004
    Download Restriction: Ebook Access is available upon purchase.
    File URL: https://www.worldscientific.com/doi/abs/10.1142/9789813234482_0004
    Download Restriction: Ebook Access is available upon purchase.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    Keywords

    Knowledge Discovery; Big Data; Data Science; Data Analytics; Innovation;
    All these keywords.

    JEL classification:

    • O30 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - General

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:wschap:9789813234482_0004. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/page/worldscibooks .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.