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Phenomenon‐based classification: An Annual Review of Information Science and Technology (ARIST) paper

Author

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  • Claudio Gnoli
  • Richard P. Smiraglia
  • Rick Szostak
Abstract
While bibliographic classifications are traditionally based on disciplines, the logical alternative is phenomenon‐based classification. Although not prevalent, this approach has been explored in the 20th century by J.D. Brown, the Classification Research Group, and others. Its principles have been stated in the León Manifesto (2007) and are currently represented by such general schemes as the Basic Concepts Classification and the Integrative Levels Classification. A phenomenon‐based classification lists classes of phenomena, including things and processes irrespective of the discipline studying them (which can optionally be specified as an additional facet). Facets can work in a phenomenon‐based system much as in a disciplinary one. This kind of system will promote the identification of potential relationships between research in different disciplines, and will especially benefit interdisciplinary work. The paper reviews the theory, history, structure, advantages, applications, and evaluation of phenomenon‐based classification systems.

Suggested Citation

  • Claudio Gnoli & Richard P. Smiraglia & Rick Szostak, 2024. "Phenomenon‐based classification: An Annual Review of Information Science and Technology (ARIST) paper," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 75(3), pages 324-343, March.
    • Handle: RePEc:bla:jinfst:v:75:y:2024:i:3:p:324-343
    DOI: 10.1002/asi.24865
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    References listed on IDEAS

    as
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