Modeling the relationship between scientific and bibliographic classification for music
Deborah Lee,
Lyn Robinson and
David Bawden
Journal of the Association for Information Science & Technology, 2019, vol. 70, issue 3, 230-241
Abstract:
Scientific classification is an important topic in contemporary knowledge organization discourse, yet the nature of the relationships between scientific and bibliographic classifications has not been fully studied. This article considers the connections between scientific and bibliographic classifications for music, taking general discourse about scientific classification and domain analysis as its starting point. Three relationship characteristics are posited: similarity, causation, and time. In discussions about similarity, “accords” and “discords” are analyzed. Further, the idea of a scale of accord is introduced, and issues with assuming a univocal scientific or bibliographic classification of music are discussed. Causation and the idea of influence between scientific and bibliographic classifications for music are unpicked. The connections between accordance and influence are explored, and the concept of differing purposes for different classification approaches is analyzed. A temporal dimension is considered, and the dynamic nature of connections between music scientific and bibliographic classifications is established. The idea of bifurcation is introduced—a change of accordance over time—which is prominent for musical instrument classification. The concluding model visualizes similarity, causation and temporal aspects as three dimensions, showing how scientific and bibliographic classifications for music are connected through a set of interconnected and complex relationships.
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
https://doi.org/10.1002/asi.24120
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jinfst:v:70:y:2019:i:3:p:230-241
Ordering information: This journal article can be ordered from
http://www.blackwell ... bs.asp?ref=2330-1635
Access Statistics for this article
More articles in Journal of the Association for Information Science & Technology from Association for Information Science & Technology
Bibliographic data for series maintained by Wiley Content Delivery ().