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  • P-ISSN1013-0799
  • E-ISSN2586-2073

음악정보 검색에서 이용자 자연어 질의의 정확성 연구

Natural Language Queries for Music Information Retrieval

정보관리학회지, (P)1013-0799; (E)2586-2073
2008, v.25 no.4, pp.149-164
https://doi.org/10.3743/KOSIM.2008.25.4.149
이진하 (University of Illinois at Urbana - Champaign)

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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.

참고문헌

1

Allen,B. (1989). Recall cues in known-item retrieval. Journal of the American Society for Information Science, 40(4), 246-252.

2

Baker, S. L. (1991). The measurement and evaluation of library services (2nd ed.):Information Resources Press.

3

Bainbridge, D. (2003). How people describe their music information needs: a grounded theory analysis of music queries (221-222). Proc. of ISMIR (International Society of Music Informa- tion Retrieval). International Society of Music Informa- tion Retrieval.

4

Birner,B.J. (1991). Discourse entities and the referential/ attributive distinction (-). Paper presented at the 65th Meeting of the Linguistic Society of America.

5

Blair,D.C. (2003). Information retrieval and the philosophy of language. Annual Review of Information Science and Technology, 37, 3-50.

6

Byrd, D. (2002). Problems of music information retrieval in the real world. Information Processing and Management, 38(2), 249-271.

7

Cunningham, S. J. (2003). An ethnographic study of music information seeking: implications for the design of a music digital library (5-16). Proc. of JCDL 2003.

8

Donnellan,K.S. (1966). Reference and Definite Descriptions. Philosophical Review, 75, 281-304.

9

Downie,J.S. (1994). The Musifind musical information retrieval project, phase ii: user assessment survey (149-166). Proc. of the 22nd Annual Conf. of the CAIS.

10

Downie, J. S. (2002). Toward a theory of music information retrieval queries: system design implications (299-300). Proc. of ISMIR 2002.

11

Dwyer, C. M. (1991). Known- item search failure in an OPAC. RQ, 31(2), 228-236.

12

Futrelle, J. (2002). Interdis- ciplinary research issues in music information retrieval: ISMIR 2000-2002. Journal of New Music Research, 32(2), 121-131.

13

Grice,H.P. (1975). Logic and conversation. In Syntax and semantics: Speech acts (Vol.3):Seminar Press.

14

Itoh, M. (2000). Subject search for music: quantitative analysis of access point selection (-). Proc. of ISMIR 2000.

15

Jackson, S. L. (1958). Catalog use study: director's report:ALA.

16

Katz, B. (2003). Digital reference: an over- view. The Reference Librarian, 79-80, 1-17.

17

Kim, J. Y. (2002). Categories of music description and search terms and phrases used by non-music experts (209-214). Proc. of ISMIR 2002.

18

Kronfeld,A. (1986). Donnellan's distinction and a computational model of reference (185-191). Proc. of the 24th Meeting of the Association for Computational Linguistics.

19

Lancaster,F.W. (1998). Indexing and abstracting in theory and practice (2nd ed.):University of Illinois.

20

Laplante, A. (2006). Everyday life music information-seeking behaviour of young adults (381-382). Proc. of ISMIR 2006.

21

Lee,J.H. (2008). Analysis of information features in natural language queries for music information retrieval: use patterns and accuracy:University of Illinois at Urbana-Champaign.

22

Lee, J. H. (2004). Survey of music information needs, uses, and seeking behaviours: preliminary findings (441-446). Proc. of ISMIR 2004.

23

Lee, J. H. (2005). Challenges in cross-cultural/ multilingual music information seeking (1-7). Proc. of ISMIR 2005.

24

Lee, J. H. (2005). Q&A websites: rich research resources for contextualizing information retrieval behaviors. Proc. of the ACM SIGIR 2005 Workshop on Info. Retrieval in Context, , 33-36.

25

Lee, J. H. (2007). How incorrect information delivers correct search results: a pragmatic analysis of queries. Proc. of the 70th ASIS&T Annual Meeting. Mil- waukee, , -.

26

Lee, Y. J. (2006). A user study on information searching behaviors for designing user-centered query interface of content-based music information retrieval system. Journal of the Korean Society for information Management, 23(2), 5-19.

27

Lewis,D.W. (1987). Research on the use of online catalogs and its implications for library practice. Journal of Academic Librarian- ship, 13(3), 152-156.

28

McPherson, J. R. (2001). Usage of the MELDEX digital music library (19-20). Proc. of ISMIR 2001.

29

Ng,K.B. (2002). The applicability of universal pragmatics in IR interaction: a pilot study. Information Processing and Management, 38, 237-248.

30

Onishi, K. H. (2002). Discourse model representation of referential and attributive descriptions. Language and Cognitive Processes, 17, 97-123.

31

Swanson,D.R. (1972). Requirements study for future catalogs. Final report to the National Science Foundation. Chicago: The University.

32

Taheri-Panah, S. (2004). Music information retrieval systems: why do individuals use them and what are their needs? (455-460). Proc. of ISMIR 2004.

33

University of Chicago. Graduate Library School. (1968). Requirements study for future catalogs. Progress report no. 2. University of Chicago. Graduate Library School.

정보관리학회지