Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Natural Language Queries for Music Information Retrieval

음악정보 검색에서 이용자 자연어 질의의 정확성 연구

  • Lee, Jin-Ha (University of Illinois at Urbana-Champaign)
  • Published : 2008.12.31
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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.

실제 이용자들의 필요성을 충족하는 음악정보 검색 시스템을 개발하는데 있어서 실생활의 음악 정보질의에 대한 부족한 이해가 장애가 되고 있다. 이 연구는 실생활 질의의 경험적 분석을 통해 이용자들이 어떻게 음악 정보를 찾는지에 대한 이론적인 이해를 돕고자 한다. 그 중에서도 미래의 음악정보 검색 시스템의 디자인, 특히 잠재적인 접근점을 선택하는데 있어서 결정적인 정보를 제공하는 역할을 하게 될 실생활의 음악정보 질의 내에서 이용자들이 제공한 정보의 정확성을 검토하고 있다. 이 연구는 이용자의 정보 중 상당 부분이 부정확한 정보임을 보여주며, 이런 부정확성과 불확실성에도 불구하고 다수의 질의가 성공적임을 알려준다. 또한 어용론의 이론으로써 부정확한 질의의 예기치 않은 성공에 대한 부분적 설명을 하였다.

Keywords

References

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