Informatization Policy (정보화정책)

National Information Society Agency (한국지능정보사회진흥원)
권호 표지
DOI QR코드

DOI QR Code

Forecasting Open Government Data Demand Using Keyword Network Analysis

키워드 네트워크 분석을 이용한 공공데이터 수요 예측

  • Received : 2020.08.29
  • Accepted : 2020.09.24
  • Published : 2020.12.31
Download PDF
⟨ Previous Next ⟩

Abstract

This study proposes a way to timely forecast open government data (OGD) demand(i.e., OGD requests, search queries, etc.) by using keyword network analysis. According to the analysis results, most of the OGD belonging to the high-demand topics are provided by the domestic OGD portal(data.go.kr), while the OGD related to users' actual needs predicted through topic association analysis are rarely provided. This is because, when providing(or selecting) OGD, relevance to OGD topics takes precedence over relevance to users' OGD requests. The proposed keyword network analysis framework is expected to contribute to the establishment of OGD policies for public institutions in the future as it can quickly and easily forecast users' demand based on actual OGD requests.

본 연구는 키워드 네트워크 분석을 이용하여 공공데이터 수요(즉, 공공데이터 제공신청, 검색 질의 등)를 적시에 예측하는 방법을 제안한다. 분석 결과에 따르면, 수요가 높은 토픽에 속하는 공공데이터는 대부분 국내 공공데이터 포털(data.go.kr)에서 제공되고 있지만, 토픽 연관 분석을 통해 예측된 이용자의 실제 요구와 관련된 공공데이터는 거의 제공되지 않고 있다. 공공데이터를 제공(또는 선정)할 때, 이용자의 공공데이터 제공신청과의 관련성보다 공공데이터 토픽과의 관련성이 우선시되기 때문이다. 제안된 키워드 네트워크 분석 프레임워크는 실제 공공데이터 제공신청을 바탕으로 이용자들의 수요를 빠르고 쉽게 예측할 수 있으므로, 향후 공공기관(중앙부처·지방자치단체·산하기관)의 공공데이터 정책 수립에 이바지할 수 있을 것으로 기대된다.

Keywords

References

  1. Baeza-Yates, R. & Ribeiro-Neto, B. (1999). Modern Information Retrieval. New York: ACM Press.
  2. Blei, D. & Lafferty. J. (2007). "A Correlated Topic Model of Science." The Annuals of Applied Statistics, 1(1), 17-35
  3. Chatfield, A. & Reddick C. (2017), "A Longitudinal Cross-sector Analysis of Open Data Portal Service Capability: the Case of Australian Local Governments." Government Information Quarterly, 34(2), 231-243. https://doi.org/10.1016/j.giq.2017.02.004
  4. Cho, S. & Ha, S. (2020). "Analysis of Open Government Data Demand Using Structural Topic Modeling." Journal of Information Technology and Architecture, 17(2), 103-118. https://doi.org/10.22865/JITA.2020.17.2.103
  5. Cho, S., Shin, S., Kang, D. (2018). "A Study on the Research Trends on Open Innovation using Topic Modeling." Informatization Policy, 25(3), 52-74. https://doi.org/10.22693/NIAIP.2018.25.3.052
  6. Choi, J., Kim, H. & Im, N. (2011). "Keyword Network Analysis for Technology Forecasting." Journal of Intelligence and Information Systems, 17(4), 227-240. https://doi.org/10.13088/JIIS.2011.17.4.227
  7. Dawes, S., Vidiasova, L. & Parkhimovich, O. (2016). "Planning and Designing Open Government Data Programs: An Ecosystem Approach." Government Information Quarterly, 33(1), 15-27. https://doi.org/10.1016/j.giq.2016.01.003
  8. Han, H., Hwang, S., Lee, J. & Oh, H. (2020). "Analysis of Current Status and Improvement Plans of the User Service in Open Data Portal - Focusing on Citizen Participation Data Portal." Journal of Korean Library and Information Science Society, 51(1), 255-278. https://doi.org/10.16981/KLISS.51.1.202003.255
  9. Higuchi, K. (2016). KH Coder 3 manual. Japan: Ritsumeikan University
  10. Iem, Y., Shim, T. & Lee, S. (2015). "The Study of University Leadership Competencies Compared with University Students' Life Competencies through Co-Word Analysis." Korean Journal of Family Welfare, 20(1), 133-151. https://doi.org/10.13049/kfwa.2015.20.1.133
  11. Kubler, S., Robert, J., Neumaier, S., Umbrich, J., & Le Traon, Y. (2018). "Comparison of Metadata Quality in Open Data Portals using the Analytic Hierarchy Process." Government Information Quarterly, 35(1), 13-29. https://doi.org/10.1016/j.giq.2017.11.003
  12. Lee, J. & Park, J. (2019). "An Approach to Constructing a Knowledge Graph Based on Korean Open-Government Data." Applied Sciences, 9(19), 1-12.
  13. Lourenco, R. (2015). "An Analysis of Open Government Portals: A Perspective of Transparency for Accountability." Government Information Quarterly, 32(3), 323-332. https://doi.org/10.1016/j.giq.2015.05.006
  14. Ministry of Interior and Safety (2013). Act on Promotion of the Provision and Use of Open Government Data.
  15. Moon, H. & Lee, K. (2018). "A Study on Public Policy Through Semantic Network Analysis of Public Data related News in Korea." Journal of Broadcasting Engineering, 23(4), 536-548
  16. National Information Society Agency (2017). The Collection of Informational Statistics in 2017. Daegu: National Information Society Agency
  17. Ohemeng, F. & Ofosu-Adarkwa, K. (2015). "One Way Traffic: The Open Data Initiative Project and the Need for an Effective Demand Side Initiative in Ghana.", Government Information Quarterly, 32(4), 419-428. https://doi.org/10.1016/j.giq.2015.07.005
  18. Open Data Strategy Council (2019). "The 3rd ('20-'22) Basic Plan for Activating Open Data Provision and Utilization." January 10.
  19. Palshikar, G. (2007). Keyword Extraction from a Single Document Using Centrality Measures. Paper presented at International Conference on Pattern Recognition and Machine Intelligence, December 18-22.
  20. Park, J., Kim, N. & Han, E. (2018). "Analysis of Trends in Science and Technology using Keyword Network Analysis." Journal of the Korea Industrial Information System Research, 23(2), 63-73. https://doi.org/10.9723/JKSIIS.2018.23.2.063
  21. Rha, J. (2020). "A Study on the Research Trends in Supply Chain Management in Korea using Network Text Analysis." Journal of the Korea Industrial Information System Research, 25(1), 41-53. https://doi.org/10.9723/JKSIIS.2020.25.1.041
  22. Ruijer, E., Grimmelikhuijsen, S. & Meijer, A. (2017). "Open Data for Democracy: Developing a Theoretical Framework for Open Data Use." Government Information Quarterly, 34(1), 45-52. https://doi.org/10.1016/j.giq.2017.01.001
  23. Ruijer, E. & Meijer, A. (2020). "Open Government Data as an Innovation Process: Lessons from a Living Lab Experiment." Public Performance & Management Review, 43(3), 613-635. https://doi.org/10.1080/15309576.2019.1568884
  24. Seo, H. (2017). "An Empirical Study on Open Government Data: Focusing on ODB and OUR Index." Information Policy, 24(1), 48-78.
  25. Seo, H. & Myeong, S. (2014). "Policy Alternatives for User-oriented Public Data Utilization - Focusing on ICT Managers' Perception in Private Sector." The Korean Association for Regional Information Society, 17(3), 61-86.
  26. Suh, B. & Shin, S. (2017). "A Study on the Research Trends on Domestic Platform Government using Topic Modeling."Informatization Policy, 24(3), 3-26. https://doi.org/10.22693/NIAIP.2017.24.3.003
  27. Tammisto, Y. & Lindman, J. (2012). Definition of Open Data Services in Software Business. Paper presented at International Conference of Software Business, June 18-20.
  28. Thorsby, J., Stowers, G., Wolslegel, K. & Tumbuan E. (2017). "Understanding the Content and Features of Open Data Portals in American Cities." Government Information Quarterly, 34(1), 53-61. https://doi.org/10.1016/j.giq.2016.07.001
  29. Unpublished: Google. "Translation API." https://cloud.google.com/translate/?hl=ko. (Retrieved on August 10, 2020).
  30. Unpublished: Princeton University. "WordNet: A Lexical Database for English." https://wordnet.princeton.edu/download. (Retrieved on August 10, 2020)
  31. Veljkovic, N., Bogdanovic-Dinic, S., & Stoimenov, L. (2014). "Benchmarking Open Government: An Open Data Perspective." Government Information Quarterly, 31(2), 278-290. https://doi.org/10.1016/j.giq.2013.10.011
  32. Wang, V. & Shepherd, D. (2020). "Exploring the Extent of Openness of Open Government Data-a Critique of Open Government Datasets in the UK." Government Information Quarterly, 37(1), 1-10.
  33. Worthy, B. (2015). "The Impact of Open Data in the UK: Complex, Unpredictable, and Political." Public Administration, 93(3), 788-805. https://doi.org/10.1111/padm.12166
  34. Yun, S. & Hyun, J. (2019). "An Analysis of Open Data Policy in Korea: Focused on National Core Data in Open Data Portal." Korean Public Management Review, 33(1), 219-247. https://doi.org/10.24210/kapm.2019.33.1.010
  35. Zeleti, F., Ojo, A. & Curry, E. (2016). "Exploring the Economic Value of Open Government Data." Government Information Quarterly, 33(3), 535-551. https://doi.org/10.1016/j.giq.2016.01.008