Mastersthesis,

Playing Tag: An Analysis of Vocabulary Patterns and Relationships Within a Popular Music Folksonomy

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School of Information and Library Science of the University of North Carolina, Master's paper,, (April 2008)

Abstract

The cataloging of musical materials has always posed challenges for librarians, requiring special treatment for classification and organization. Accurate description is critical for achieving high-recall retrieval and access by patrons. This study considers the challenge of music description through content analysis of the popular music websites AllMusic.com and Last.fm. The goal of the research was to gain a better understanding of how users describe their music collections. The findings in this study illustrate that hierarchical vocabulary structures are clearly evident within the Last.fm folksonomy. The findings also show that tagging data is more reliable in representing musical genre/subject than previously speculated, indicating that with proper analysis and coding, social tag data could be harvested to provide genre-level metadata for popular music titles. The work presented here contributes a methodology for further study of this topic, specific to music folksonomies and vocabularies, which may also be useful for other disciplines.

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