Journal of the Korean Society for information Management (정보관리학회지)

Korean Society for Information Management (한국정보관리학회)
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Analysis of Users' Inflow Route and Search Terms of the Korea National Archives' Web Site

국가기록원 웹사이트 유입경로와 이용자 검색어 분석

  • 진주영 (명지대학교 기록정보과학전문대학원) ;
  • 이해영 (명지대학교 기록정보과학전문대학원)
  • Received : 2018.02.19
  • Accepted : 2018.03.15
  • Published : 2018.03.30
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Abstract

As the users' information use environment changes to the Web, the archives are providing more services on the Web than before. This study analyzes the users' recent inflow route and the highly ranked 100 search terms of each month for 10 and half years in the Web site of National Archives of Korea, and suggests suitable information services. As a result of the analysis, it was found out that the inflow route could be divided into access from portal site, by country, from related institutions, and via mobile platform. As a result of analyzing the search terms of users for the last 10 and half years, the most frequently searched term turned out to be 'Land Survey Register', which was also the search term that was searched for with steady interests for 10 and half years. Also, other government documents or official gazettes were of great interests to users. As results of identifying the most frequently searched and steadily searched terms, we were able to categorize the search terms largely in terms of land, Japanese colonial period, the Korean war and relationship of North Korea and South Korea, and records management and use. Based on the results of the analysis, we suggested strengthening connection of the National Archives Web site with portal sites and mobile, and upgrading and improving search services of the National Archives. This study confirmed that the analysis of Web log and user search terms would yield meaningful results that could enhance the user services in archives.

이용자 정보이용환경이 웹으로 변화하면서, 기록관리기관들도 종전보다 더 많은 서비스를 웹을 통해 제공하고 있다. 이 연구는 국가기록원 웹사이트를 이용하는 이용자의 최근 유입경로와 10년 반 동안 매달 상위 100개의 검색어 데이터를 분석하고 그에 맞는 기록정보서비스방안을 제시한다. 분석 결과 유입경로는 크게 포털 사이트별 접속, 국가별 접속, 유사기관 별 접속 및 모바일 접속으로 분류할 수 있었다. 이용자들의 검색어를 분석한 결과 이용자들이 10년 반 동안 가장 많이 검색한 검색어는 '토지조사부'였으며, 꾸준한 관심을 갖고 검색한 검색어 또한 '토지조사부'였다. 그 외에 정부 기관에서 생산한 문서 또는 관보에 대한 관심도 높음을 확인하였다. 그리고 이용자들이 가장 많이 검색한 검색어와 꾸준히 등장한 검색어를 파악한 결과, 검색어들을 크게 토지, 일제강점기, 6.25 전쟁과 남북관계, 기록관리 및 이용으로 묶어볼 수 있었다. 분석결과를 토대로 포털 사이트 및 모바일 등을 활용한 국가기록원 웹사이트의 연계성 강화와 검색 서비스의 고도화 방안을 제안하였다. 이 연구는 이렇게 웹로그나 이용자 검색어 등을 분석하면 기록관리기관 이용자들에게 제공하는 서비스를 고도화할 수 있는 의미 있는 결과를 얻을 수 있음을 확인하였다.

Keywords

References

  1. 김서 (2013). 빅데이터 도서관 활용사례: KAIST 도서관 웹로그분석시스템을 중심으로. KSLA bulletin, 5, 45-52. Kim, Seo (2013). Big data library use cases: KAIST library Web log analytics system. KSLA bulletin, 5, 45-52.
  2. 대한민국 전자관보 (2018). 행정안전부. 홈페이지. Retrieved from http://gwanbo.mois.go.kr/user/intro/definePage.do Republic of Korea. Electronic Gazette (2018). Ministry of the Interior and Safety. Homepage. Retrieved from http://gwanbo.mois.go.kr/user/intro/definePage.do
  3. 박소연 (2011). 검색 포털의 클릭 집중 문서 분석 평가. 한국도서관․정보학회지, 42(1), 325-338. Park, Soyeon (2011). Analysis and evaluation of most clicked documents of Korean search portal. Journal of Korean Library and Information Science Society, 42(1), 325-338.
  4. 박소연, 이준호 (2002). 로그 분석을 통한 이용자의 웹 문서 검색 행태에 관한 연구. 정보관리학회지, 19(3), 111-122. https://doi.org/10.3743/KOSIM.2002.19.3.111 Park, Soyeon, & Lee, Joon Ho (2002). Investigating Web search behavior via query log analysis. Journal of the Korean Society for Information Management, 19(3), 111-122. https://doi.org/10.3743/KOSIM.2002.19.3.111
  5. 박소연, 이준호 (2005). 국내 웹 이용자의 검색 행태 추이 분석. 한국문헌정보학회지, 39(2), 147-160. https://doi.org/10.4275/KSLIS.2005.39.2.147 Park, Soyeon, & Lee, Joon Ho (2005). Trends of search behavior of Korean Web users. Journal of the Korean Society for Library and Information Science, 39(2), 147-160. https://doi.org/10.4275/KSLIS.2005.39.2.147
  6. 박소연, 이준호 (2007). 웹 검색 분야에서의 로그 분석 방법론의 활용도. 한국문헌정보학회지, 41(1), 231-242. https://doi.org/10.4275/KSLIS.2007.41.1.231 Park, Soyeon, & Lee, Joon-Ho (2007). Applications of transaction log analysis for the Web searching field. Journal of the Korean Society for Library and Information Science, 41(1), 231-242. https://doi.org/10.4275/KSLIS.2007.41.1.231
  7. 박소연, 조기훈, 최기린 (2015). 이용자들의 쇼핑 검색 행태 분석: 팝슈즈 로그 분석을 중심으로. 정보관리학회지, 32(4), 289-305. https://doi.org/10.3743/KOSIM.2015.32.4.289 Park, Soyeon, Cho, Kihun, & Choi, Kirin (2015). Information seeking behavior of shopping site users: A log analysis of Popshoes, a Korean shopping search engine. Journal of the Korean Society for Information Management, 32(4), 289-305. https://doi.org/10.3743/KOSIM.2015.32.4.289
  8. 박소연, 조기훈, 최기린 (2017). 이용자들의 PC 검색 행태와 모바일 검색 행태 비교. 정보관리학회지, 34(3), 89-107. https://doi.org/10.3743/KOSIM.2017.34.3.089 Park, Soyeon, Cho, Kihun, & Choi, Kirin (2017). A comparison of user search behavior on PC and mobile phone: A log analysis of 1300K site. Journal of the Korean Society for Information Management, 34(3), 89-107. https://doi.org/10.3743/KOSIM.2017.34.3.089
  9. 설문원 (2015). 기록의 발견과 이해를 위한 온라인 검색가이드 연구. 한국기록관리학회지, 15(1), 53-87. https://doi.org/10.14404/JKSARM.2015.15.1.053 Seol, Moon-Won (2015). A study of online research guides for user support to find and understand archival records in National Archives. Journal of Korean Society of Archives and Records Management, 15(1), 53-87. https://doi.org/10.14404/JKSARM.2015.15.1.053
  10. 시사상식사전 (2015). 서울: 박문각. Retrieved from http://terms.naver.com/list.nhn?cid=43667&categoryId=43667 Common Sense Dictionary (2015). Seoul: Parkmungak. Retrieved from http://terms.naver.com/list.nhn?cid=43667&categoryId=43667
  11. 이성숙 (2012). 트랜잭션 로그 분석을 통한 웹기반 온라인목록의 검색행태 추이 분석. 한국비블리아학회지, 23(2), 209-233. https://doi.org/10.14699/kbiblia.2012.23.2.209 Lee, Sung-Sook (2012). Trends of Web-based OPAC search behavior via transaction log analysis. Journal of the Korean Biblia Society for Library and Information Science, 23(2), 209-233. https://doi.org/10.14699/kbiblia.2012.23.2.209
  12. 이소영, 정영미 (2006). 웹 포털 이용자 로그 데이터에 기반한 개인화 검색 서비스 모형의 설계 및 평가. 정보관리학회지, 23(4), 179-196. https://doi.org/10.3743/KOSIM.2006.23.4.179 Lee, Soyoung, & Chung, Young-Mee (2006). Design and evaluation of a personalized search service model based on Web portal user activities. Journal of the Korean Society for Information Management, 23(4), 179-196. https://doi.org/10.3743/KOSIM.2006.23.4.179
  13. 이수상, 위성광 (2009). 디지털 도서관 이용자의 검색행태 연구. 한국도서관․정보학회지, 40(4), 139-158. Lee, Soo-Sang, & Wei, Cheng-Guang (2009). A study on the search behavior of digital library users: Focus on the network analysis of search log data. Journal of Korean Library and Information Science Society, 40(4), 139-158.
  14. 이정미 (2013). 빅데이터의 이해와 도서관 정보서비스에의 활용. 한국비블리아학회지, 24(4), 53-73. https://doi.org/10.14699/kbiblia.2013.24.4.053 Lee, Jeong-Mee (2013). Understanding big data and utilizing its analysis into library and information services. Journal of the Korean Biblia Society for Library and Information Science, 24(4), 53-73. https://doi.org/10.14699/kbiblia.2013.24.4.053
  15. 이중식 (2011). 웹검색 행태 연구. 한국문헌정보학회지, 45(2), 209-228. https://doi.org/10.4275/KSLIS.2011.45.2.209 Lee, Joong-Seek (2011). Web search behavior analysis based on the self-bundling query method. Journal of the Korean Biblia Society for Library and Information Science, 45(2), 209-228. https://doi.org/10.4275/KSLIS.2011.45.2.209
  16. 이해영 (2011). 기록관 웹사이트 검색어의 분석과 활용: 대통령기록관을 중심으로. 한국기록관리학회지, 11(1), 93-112. Rieh, Hae-Young (2011). Analysis and utilization of search terms in archival Web sites: A case study of Korean Presidential Archives. Journal of Korean Society of Archives and Records Management, 11(1), 93-112.
  17. 이효은, 임진희 (2015). 웹애널리틱스를 이용한 아카이브 이용자 분석 사례 연구. 기록학연구, 45, 83-120. Lee, Hyoeun, & Yim, Jin Hee (2015). A case study analysing the users of archives through Web analytics. The Korean Journal of Archival Studies, 45, 83-120.
  18. 장희정 (2012). 국가기록관 웹사이트의 평가에 관한 연구. 한국기록관리학회지, 12(2), 51-70. Jang, Hee-Jung (2012). A study on evaluation of National Archives Websites. Journal of Korean Society of Archives and Records Management, 12(2), 51-70.
  19. 정동훈 (2010). 웹 2.0 특성에 따른 정부부처 웹페이지 평가. 사이버커뮤니케이션학보, 27(4), 209-255. Chung, Donghun (2010). Evaluation of the government Web pages according to Web 2.0. Journal of Cybercommunication Academic Society, 27(4), 209-255.
  20. 지적아카이브 (2017). 행정안전부 국가기록원. 홈페이지. 2017.12. Retrieved from http://theme.archives.go.kr/next/acreage/typeArchive.do?type1=1&type2=1&type3=2 Cadastral Archive content (2017). National Archives of Korea Potal. 2017, December. Retrieved from http://theme.archives.go.kr/next/acreage/typeArchive.do?type1=1&type2=1&type3=2
  21. 표순희, 김윤형, 김혜선, 김완종 (2015). 도서관 빅데이터 서비스 모형 개발에 관한 연구. 정보관리학회지, 32(2), 63-86. https://doi.org/10.3743/KOSIM.2015.32.2.063 Pyo, Soon Hee, Kim, Yun Hyung, Kim, Hye Sun, & Kim, Wan Jong (2015). A study on the developing of big data services in public library. Journal of the Korean Society for Information Management, 32(2), 63-86. https://doi.org/10.3743/KOSIM.2015.32.2.063
  22. 행정자치부, 한국정보화진흥원 (2016). 2016 전자정부서비스 이용실태조사 결과 요약보고서. Ministry of the Interior, National Information Society Agency (2016). 2016 Summary report on the survey results of the use status of use of the e-Government service.
  23. Duff, W. (2001). Web을 통한 기록물 공개 열람 제공: 축복인가 저주인가? (이상민 역). 기록학연구, 4, 175-196. Duff, W. (2001). Disclosure of records through Web: Blessing or curse? (Translated by Sang Min Lee). The Korean Journal of Archival Studies, 4, 175-196.
  24. Dumais, S., Jeffries, R., Russell, D. M., Tang, D., & Teevan, J. (2014). Understanding user behavior through log data and analysis. In Ways of Knowing in HCI (pp. 349-372). New York: Springer. https://doi.org/10.1007/978-1-4939-0378-8_14
  25. Han, H., Joo, S., & Wolfram, D. (2014). Using transaction logs to better understand user search session patterns in an image-based digital library. Journal of The Korean Biblia Society for Library and Information Science, 25(1), 19-37. https://doi.org/10.14699/kbiblia.2014.25.1.019
  26. Jansen, B. J. (2006). Search log analysis: What it is, what's been done, how to do it. Library and Information Science Research, 28(3), 407-432. https://doi.org/10.1016/j.lisr.2006.06.005
  27. Jansen, B. J. (2009). Understanding user: Web interactions via Web analytics. (Synthesis Lectures on Information Concepts, Retrieval, and Services) Plymouth: Morgan and Claypool Publishers. https://doi.org/10.2200/S00191ED1V01Y200904ICR006
  28. Jansen, B. J., Spink, A., & Koshman, S. (2007). Web searcher interaction with the Dogpile. commetasearch engine. Journal of the Association for Information Science and Technology, 58(5), 744-755. https://doi.org/10.1002/asi.20555
  29. Jansen, B. J., Spink, A., & Saracevic, T. (2000). Real life, real users, and real needs: A study and analysis of user queries on the Web. Information Processing and Management, 36(2), 207-227. https://doi.org/10.1016/S0306-4573(99)00056-4
  30. Koshman, S., Spink, A., & Jansen, B. J. (2006). Web searching on the Vivisimo search engine. Journal of the Association for Information Science and Technology, 57(14), 1875-1887. https://doi.org/10.1002/asi.20408
  31. Kotov, A., Bennett, P., White, R. W., Dumais, S. T., & Teevan, J. (2011). Modeling and analysis of cross-session search tasks. In Proceedings of SIGIR 2011, 5-14. https://doi.org/10.1145/2009916.2009922
  32. Prom, C. (2011). Using Web analytics to improve online access to archival resources. The American Archivist, 74(1), 158-184. https://doi.org/10.17723/aarc.74.1.h56018515230417v
  33. Silverstein, C., Henzinger, M., Marais, H., & Moricz, M. (1999). Analysis of a very large Web search engine query log. SIGIR Forum, 33(1), 6-12. https://doi.org/10.1145/331403.331405
  34. Spink, A., Ozmutlu, S., Ozmutlu, H. C., & Jansen, B. J. (2002). U.S. versus European Web searching trends. ACM SIGIR Forum, 36(2), 32-38. https://doi.org/10.1145/792550.792555
  35. Spink, A., Wolfram, D., Jansen, M. B., & Saracevic, T. (2001). Searching the Web: The public and their queries. Journal of the Association for Information Science and Technology, 52(3), 226-234. https://doi.org/10.1002/1097-4571(2000)9999:9999<::AID-ASI1591>3.0.CO;2-R