한국비블리아학회지 (Journal of the Korean BIBLIA Society for library and Information Science)

한국비블리아학회 (Korean Biblia Society for Library and Information Science)
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인문학 분야 연구데이터를 위한 연구논문의 의미구조 기반 메타데이터 연구

A Study on the Metadata based on the Semantic Structure of the Humanities Research Articles for Research Data

  • 안병군 (성균관대학교 인문학연구원) ;
  • 고영만 (성균관대학교 문헌정보학과)
  • 투고 : 2022.02.23
  • 심사 : 2022.03.08
  • 발행 : 2022.03.30
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초록

본 연구의 목적은 인문학 분야 연구데이터와 연구논문을 연계할 수 있는 '인문학 분야 연구데이터를 위한 연구논문 의미구조 기반 메타데이터'를 개발하는 것이다. 인문학 분야 연구자의 관심 정보를 파악하기 위해 키워드 유형화를 진행하고 이를 일반적인 연구논문의 의미구조를 기준으로 분석함으로써 인문학 분야의 특성을 반영하기 위해 추가될 요소를 확인하였다. 이를 기반으로 인문학 분야 연구논문의 의미구조 기반 메타데이터를 구성하였으며 해당 메타데이터가 인문학 분야 연구데이터의 메타데이터로서 적합한지를 평가하기 위하여 인문학 분야 연구자를 대상으로 설문을 진행하였다. 인문학 분야 연구논문의 의미구조를 기반으로 도출된 17개의 메타데이터 요소 중 인문학 분야 연구데이터 메타데이터로 활용하기에 적합하다고 판단된 요소는 7개이며, 그 외 10개 요소는 사용 가능한 요소로 확인되었다. 평가 결과를 바탕으로 인문학 분야 연구데이터를 위한 연구논문 의미구조기반 메타데이터를 구성하였다.

The purpose of this study is to build a metadata set based on the semantic structure of the humanities field research articles for research data that can associate research data and research articles. To understand the interest of Humanities researchers, keywords of research articles were categorized. By proceeding the keywords classification and analyzing based on the semantic structure of general research papers, additional elements to be added were identified for reflecting the characteristics of the humanities field. Based on it, 17 metadata elements based on the semantic structure of research papers in the humanities field was determined. In order to evaluate whether the metadata is appropriate as a metadata for research data in the humanities field, a survey was conducted on researchers in the humanities field. As a result of the survey, 7 elements were judged to be suitable for use as metadata for research data in the field of humanities, and 10 other elements were identified as usable elements. Drawing on the survey results, the metadata based on the semantic structure of the humanities field research articles for research data was constructed.

키워드

과제정보

이 논문은 2021년 대한민국 교육부와 한국연구재단의 지원을 받아 수행된 연구임(NRF-2021S1A5C2A02086918).

참고문헌

  1. Cho, J. & Park, J. D. (2019). A study on analysis of research data repository in humanities and social sciences. Journal of the Korean BIBLIA Society for library and Information Science, 30(2), 69-87. http://dx.doi.org/10.14699/kbiblia.2019.30.2.069
  2. Ko, Y. M. & Song, I. S. (2011). A study on the knowledge organizing system of research papers based on semantic relation of the knowledge structure. Journal of the Korean Society for Information Management, 28(1), 145-170. http://dx.doi.org/10.3743/kosim.2011.28.1.145
  3. Ko, Y. M., Kim, B. Y., Min, H. R., Song, M. S., & Lee, S. J. (2016). Ontology Construction Based on Structural Academic Terminology. Seoul; KLA.
  4. Shim, W. S., Ahn, H. Y., & Byun, J. Y. (2015). Strategies for improving the collection and use of research data in the humanities. Journal of the Korean Society for Library and Information Science, 49(3), 155-183. http://dx.doi.org/10.4275/KSLIS.2015.49.3.155
  5. Shin, Y. R. & Chung, Y. K. (2012). A study on the improvement plans of the humanities and social sciences research data archives in Korea. Journal of Korean Society of Archives and Records Management, 12(3), 93-115.
  6. Song, M. S. & Ko, Y. M. (2015). A study on the metadata based on the semantic structure of the Korean studies research articles. Journal of Korean Library and Information Science Society, 46(3), 277-299. http://dx.doi.org/10.16981/kliss.46.3.201509.277
  7. Song, M. S. (2015). A study on the intellectual structure analysis in Korean studies. Journal of the Korean Society for Library and Information Science, 49(4), 125-157. http://dx.doi.org/10.4275/KSLIS.2015.49.4.125
  8. Song, M. S., Ko, Y. M., & Lee, S. J. (2016). A study on developing a metadata search system based on the text structure of Korean studies research articles. Journal of the Korean Society for Information Management, 33(3), 155-176. http://dx.doi.org/10.3743/KOSIM.2016.33.3.155
  9. Yoo, S. R., Lee, H. W., & Song, I. S. (2009). A study on the application and management framework of social science scholarly ontology for semantic information navigation. Journal of the Korean Society for Library and Information Science, 43(2), 277-298. http://dx.doi.org/10.4275/kslis.2009.43.2.277
  10. Burrows, T. (2011, December 12-14). Sharing humanities data for e-research: conceptual and technical issues. Sustainable data from digital research: Humanities perspectives on digital scholarship. Proceedings of the conference held at the University of Melbourne, 177-192.
  11. de Waard, A., Breure, L., Kircz, J., & Oostendorp, H. (2006). Modeling Rhetoric in Scientific Publications. International Conference on Multidisciplinary Information Sciences and Technologies, InSciT2006.
  12. de Waarde, A. (2007). A Pragmatic Structure for Research Articles. In: 2nd International Conference on the Pragmatic Web, October, 2007. Tilburg, Netherlands, 22-23.
  13. Kando, N. (1997). Text-level structure of research papers: implications for text-based information processing systems. Proceedings of the 19th Annual BCS-IRSG Colloquium on IR Research, 68-81.
  14. Kando, N. (1999). Text structure analysis as a tool to make retrieved documents sable. Proceedings of the 4th International Workshop on Information Retrieval with Asian Languages, 126-135.
  15. Stigler, J. H. & Steiner, E. (2018). GAMS-eine infrastruktur zur langzeitarchivierung und publikation geisteswissenschaftlicher forschungsdaten. Mitteilungen der Vereinigung Osterreichischer Bibliothekarinnen und Bibliothekare, 71(1), 207-216. https://doi.org/10.31263/voebm.v71i1.1992
  16. Superceanu, R. (1998) The rhetoric of scientific articles: Agenere study. Timisoara, Rumania: Orizonturi Universitre.
  17. van Dijk, T. A. (1980). Macrostructures: An Interdisciplinary Study of Global Structures in Discourse, Interaction, and Cognition. Hillsdale, NJ; Lawrence Erlbaum.