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Towards the Development of a Reading Material Classification Scheme Based on a Combination of Book Use Facets

도서이용 속성 조합에 기반한 독서자료 분류체계 설계

  • 심지영 (연세대학교 대학도서관발전연구소)
  • Received : 2022.11.21
  • Accepted : 2022.12.12
  • Published : 2022.12.30

Abstract

In this study, in order to expand the access points of reading materials, a reading material classification (RMC) system based on the facets of book use was devised. The facets of books that can be considered by book users in the reading situation were content-analyzed. Also, through network analysis, subject headings adjacent to one subject heading were grouped into related subject headings. The RMC developed in this study can be used as a tool that provides various access points to help book users search in the library OPAC and other reading information systems.

본 연구는 독서자료의 접근점을 확장하기 위해, 도서이용 속성에 기반한 독서자료 분류체계를 고안하였다. 독서상황에서 도서 이용자가 고려할 수 있는 도서의 속성을 내용분석하여 주제명에 반영하고, 네트워크 분석을 통해 주제명 항목과 인접한 항목들을 연관 주제명으로 그룹화하여 함께 제시하였다. 본 연구에서 개발한 독서자료분류표(RMC)는 도서관 OPAC을 비롯한 독서정보 시스템 내에서 도서 이용자의 탐색을 돕는 다양한 접근점을 제공하는 도구로써 사용될 수 있을 것이다.

Keywords

Acknowledgement

이 논문은 2020년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임 (NRF-2020S1A5B5A16084137)

References

  1. Cho, HyeChon & Chung, Yeon-Kyoung (2018). A study on improvement for classification of fiction to enhance to accessibility for middle school students. Journal of the Korean Society for Information Management, 35(1), 61-82. https://doi.org/10.3743/KOSIM.2018.35.1.061
  2. Cho, Hyun-Yang (2020). Design of the curation platform for user-participated book recommendation system of selecting on alternative material for the disabled. Journal of the Korean Society for Library and Information Science, 54(3), 41-69. http://dx.doi.org/10.4275/KSLIS.2020.54.3.041
  3. Choi, Ye-Jin & Chung, Yeon-Kyoung (2013). A study on improving a classification for health categories of internet bookstores in Korea. Journal of the Korean Society for Information Management, 30(3), 49-70. https://dx.doi.org/10.3743/KOSIM.2013.30.3.049
  4. Choi, YoonKyung & Chung, Yeon-Kyoung (2015). A study on developing facets for subject headings in Korea. Journal of the Korean Society for Library and Information Science, 49(4), 179-201. https://dx.doi.org/10.4275/KSLIS.2015.49.4.179
  5. Korean Publishers Association (2022. 3. 11.). 2021 Publication Statistics (2022.3.11. modified). Available: http://member.kpa21.or.kr/kpa_bbs/2021%eb%85%84-%ec%b6%9c%ed%8c%90%ed%86%b5%ea%b3%84/
  6. Kwak, ChulWan (2013). A study of classification system for online bookstore in Korea: categories and book classification. Journal of the Korean Society for Library and Information Science, 47(1), 221-247. https://doi.org/10.4275/KSLIS.2013.47.1.221
  7. Min, Hye-Young & Lee, Sung-Sook (2012). A study on the classification system for social science field in internet bookstore. Journal of Information Science Theory and Practice, 43(1), 41-62. https://doi.org/10.1633/JIM.2012.43.1.041
  8. Oh, Kyong-Eun & Kim, Gi-Yeong (2008). A study on the convenience in finding books according to classifications: focused on the classifications in public libraries and bookstores. Journal of the Korean Society for Information Management, 25(4), 25-42. https://doi.org/10.3743/KOSIM.2008.25.4.025
  9. Park, Eunhee & Lee, Mihwa (2020). A study on genre classification for fictions in school libraries. Journal of the Korean Biblia Society for Library and Information Science, 31(1), 115-136. https://doi.org/10.14699/kbiblia.2020.31.1.115
  10. Reading Culture Promotion Act, Act No. 18764.
  11. Rho, Jee-Hyun (2015). A study on the quality of subject data in library catalogs. Korean Library And Information Science Society, 46(4), 379-402. https://doi.org/10.16981/kliss.46.4.201512.379
  12. Shim, Jiyoung (2020). Developing facets for fiction retrieval based on user-generated book tags. Journal of the Korean Society for Information Management, 37(2), 225-249. https://doi.org/10.3743/KOSIM.2020.37.2.225
  13. Shim, Jiyoung (2021). Identifying information needs of public library users based on circulation data: focusing on public libraries in Seoul. Journal of the Korean Society for Information Management, 38(2), 173-199. https://doi.org/10.3743/KOSIM.2021.38.2.173
  14. Shim, Jiyoung (2022). Exploring the contextual elements of book use to improve book recommender systems. Journal of the Korean Society for Information Management, 39(2), 299-324. https://doi.org/10.3743/KOSIM.2022.39.2.299
  15. Yoo, Yeong-Jun (2004). A study on organizing the web using facet analysis. Journal of the Korean Biblia Society for Library and Information Science, 15(1), 23-41.
  16. Beghtol, C. (1990). Access to fiction: a problem in classification theory and practice. Part II. Knowledge Organization, 17(1), 21-27. https://doi.org/10.5771/0943-7444-1990-1-21
  17. Blondel, V. D., Guillaume, J.-L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 2008(10), P10008. https://doi.org/10.1088/1742-5468/2008/10/P10008
  18. Book Industry Study Group (2021). Complete BISAC Subject Headings List, 2021 Edition. Available: https://bisg.org/page/BISACEdition
  19. Broughton, V. (2006). The need for a faceted classification as the basis of all methods of information retrieval. Aslib Proceedings, 58(1-2), 49-72. http://dx.doi.org/10.1108/00012530610648671
  20. EDItEUR (2022). Thema Current Version 1.5. Available: https://www.editeur.org/151/Thema/
  21. Franzoni, V. & Poggioni, V. (2017). Emotional book classification from book blurbs. Paper presented at the IEEE/WIC/ACM International Conference on Web Intelligence, Leipzig, Germany. https://doi.org/10.1145/3106426.3109422
  22. Goldsmith, T. E. & Davenport, D. M. (1990). Assessing structural similarity of graphs. In. Schvaneveldt, R. W. eds. Pathfinder associative networks: Studies in knowledge organization. Norwoord, New Jersey: Ablex Publishing, 75-88.
  23. Guo, J. L., Wang, H. C., & Lai, M. W. (2015). A feature selection approach for automatic e-book classification based on discourse segmentation. Program-Electronic Library and Information Systems, 49(1), 2-22. https://doi.org/10.1108/prog-12-2012-0071
  24. Hollands, N. (2006). Improving the model for interactive readers' advisory service. Reference & User Services Quarterly, 45(3), 205-212.
  25. Hunter, E. J. (2017). Classification Made Simple: An Introduction to Knowledge Organisation and Information Retrieval. London: Routledge.
  26. Langridge, D. W. (1989). Subject analysis: principles and procedures. London: Bowker-Saur.
  27. Library of Congress (2022). LC Subject Headings(LCSH). Available: https://id.loc.gov/authorities/subjects.html
  28. Martinez-Avila, D. & San Segundo, R. (2013). Reader-interest classification: concept and terminology historical overview. Knowledge Organization, 40(2), 102-114. https://doi.org/10.5771/0943-7444-2013-2-102
  29. Martinez-Avila, D. (2017). Reader-interest classifications: an alternative arrangement for libraries. Knowledge Organization, 44(3), 234-246. https://doi.org/10.5771/0943-7444-2017-3-234
  30. Pejtersen, A. M. (1997). Subject access to Scandinavian fiction literature: Index methods and OPAC development. Copenhagen: Nordic Council of Ministers.
  31. Sapiie, J. (1995). Reader-interest classification: the user-friendly schemes. Cataloging & Classification Quarterly, 19(3-4), 143-155. https://doi.org/10.1300/J104v19n03_12
  32. Watt, N. (2016). Readers' Advisory Services and Sources. In Smith, L. C. & Wong, M. A. eds. Reference and Information Services: An Introduction. (5th ed.). Santa Barbara, California: Libraries Unlimited, 666-701.