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

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 s...

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Publicado en:Journal of the Association for Information Science & Technology Vol. 75; no. 3; pp. 324 - 344
Autores principales: Gnoli, Claudio, Smiraglia, Richard P., Szostak, Rick
Formato: review tables/charts Journal Article
Publicado: Wiley-Blackwell Mar2024
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2024
      vid: 75
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        10.1002/asi.24865
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        atl: Phenomenon‐based classification: An Annual Review of Information Science and Technology (ARIST) paper.
      aug:
        au:
          Gnoli, Claudio
          Smiraglia, Richard P.
          Szostak, Rick
        affil: Science and Technology Library, University of Pavia, Pavia, Italy
      sug:
        subj:
          Information Science Classification
          Technology
          Phenomenology Classification
          Bibliographic Control
          Discipline
          Research, Interdisciplinary
          Semantic Web
          Ontologies
          Music Classification
          Educational Technology
      ab: 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.
      pubtype: Academic Journal
      doctype:
        review
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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