Matching music: clustering versus distinguishing records in a large database
OCLC Systems & Services: International digital library perspectives
ISSN: 1065-075X
Article publication date: 10 February 2012
Abstract
Purpose
Describing musical pieces, whether sound recordings, scores, librettos, videos, has always involved cataloger interpretation and judgment. There is considerable variation in records created for exactly the same item. And there is never “proof” that two records which seem to describe the same item actually do. This paper aims to address this issue.
Design/methodology/approach
This paper describes some of the challenges encountered in developing software for matching music records, and some approaches to making the software reliable.
Findings
The paper finds that matching can be used successfully to create GLIMIR clusters in the WorldCat database. Work is needed in several areas to complete the implementation, but intermediate results are promising.
Originality/value
This implementation will allow end‐user applications to collocate resources, to improve discovery and delivery in a complex bibliographic universe
Keywords
Citation
Thornburg, G. and Oskins, W.M. (2012), "Matching music: clustering versus distinguishing records in a large database", OCLC Systems & Services: International digital library perspectives, Vol. 28 No. 1, pp. 32-42. https://doi.org/10.1108/10650751211197059
Publisher
:Emerald Group Publishing Limited
Copyright © 2012, Emerald Group Publishing Limited