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Analysis of the Accuracy of User-provided Information in Natural Language Queries for Music Information Retrieval

  • Journal of the Korean Society for Information Management
  • Abbr : JKOSIM
  • 2008, 25(4), pp.149~164
  • DOI : 10.3743/KOSIM.2008.25.4.149
  • Publisher : 한국정보관리학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : November 15, 2008
  • Accepted : November 26, 2008
  • Published : December 30, 2008

Jin Ha Lee 1

1University of Illinois at Urbana - Champaign

Accredited

ABSTRACT

Our limited understanding of real-life music information queries is an impediment to developing music information retrieval (MIR) systems that meet the needs of real users. This study aims to contribute to developing a theorized understanding of how people seek music information by an empirical investigation of real-life queries, in particular, focusing on the accuracy of user-provided information and users' uncertainty expressions. This study found that much of users' information is inaccurate; users made various syntactic and semantic errors in providing this information. Despite these inaccuracies and uncertainties, many queries were successful in eliciting correct answers. A theory from pragmatics is suggested as a partial explanation for the unexpected success of inaccurate queries.

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