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http://dx.doi.org/10.1633/JISTaP.2018.6.1.2

Interlinking Open Government Data in Korea using Administrative District Knowledge Graph  

Kim, Haklae (Korea Institute of Science and Technology Information)
Publication Information
Journal of Information Science Theory and Practice / v.6, no.1, 2018 , pp. 18-30 More about this Journal
Abstract
Interest in open data is continuing to grow around the world. In particular, open government data are considered an important element in securing government transparency and creating new industrial values. The South Korean government has enacted legislation on opening public data and provided diversified policy and technical support. However, there are also limitations to effectively utilizing open data in various areas. This paper introduces an administrative district knowledge model to improve the sharing and utilization of open government data, where the data are semantically linked to generate a knowledge graph that connects various data based on administrative districts. The administrative district knowledge model semantically models the legal definition of administrative districts in South Korea, and the administrative district knowledge graph is linked to data that can serve as an administrative basis, such as addresses and postal codes, for potential use in hospitals, schools, and traffic control.
Keywords
Open Data; Government Data; Knowledge Graph; Ontology;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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1 Berners-Lee, T. (2006). Linked Data-World Wide Web design issues. Retrieved from https://www.w3.org/DesignIssues/LinkedData.html
2 Bizer, C., Cyganiak, R., & Heath, T. (2007). How to publish Linked Data on the Web? Retrieved from http://wifo5-03.informatik.uni-mannheim.de/bizer/HowtoPublishLinkedData.htm
3 Hall, W., & Pesenti, J. (2017). Growing the artificial intelligence industry in the UK. Retrieved from https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/652097/Growing_the_artificial_intelligence_industry_in_the_UK.pdf
4 Henrique S., Dantas, V., Furtado, V., Pinheiro, P., & McGuinness, D. L. (2017). From data to city indicators: A knowledge graph for supporting automatic generation of dashboards. Proceedings of the 14th Extended Semantic Web Conference (ESWC 2017), pp. 94-108.
5 Matheus, R., Vaz, J., & Ribeiro, M. (2014). Open government data and the data usage for improvement of public services in the Rio de Janeiro City. In Proceedings of the 8th International Conference on Theory and Practice of Electronic Governance (ICEGOV '14) (pp. 338-341). New York: ACM.
6 Ministry of the Interior and Safety (2013). Act on promotion of the provision and use of public data. Retrieved from http://www.law.go.kr/eng/engLsSc.do?menuId=1&query=public+data&x=15&y=33
7 Ministry of the Interior and Safety (2016a). Public data open standard: Ministry of Public Administration and Home Affairs notice no. 2016-46. Retrieved from https://www.data.go.kr/information/PDS_0000000000000235/recsroom.do
8 Kim, H. (2010). The semantic web and semantic connectivity: The starting point for web science. Communications of the Korean Institute of Information Scientists and Engineers, 28(3), 31-40.
9 Janowicz, K., Pascal, H., Benjamin, A., Kolas, D., & Vardeman, C. (2014). Five stars of linked data vocabulary use. Semantic Web, 5(3), 173-176.
10 Kang, W. (2017, July 25). Korea OECD leader in open government data. Korea Times. Retrieved from http://www.koreatimes.co.kr/www/tech/2017/08/133_233592.html
11 Kim, H. (2017a). Knowledge graph. Seoul: Communication Books.
12 Kim, H. (2017b). Building knowledge graph of the Korea Administrative district for interlinking public open data. Journal Of The Korea Contents Association, 17(12), 1-11.   DOI
13 National Science and Technology Council (2016). Preparing for the future of artificial intelligence, technical report, United States. Executive office of the president and M. Holden, J. P. Smith., Washington D.C. 20502, October 2016.
14 Ministry of the Interior and Safety (2016c). Local Autonomy Act: Act No.14197, 29. May, 2016., amendment by other act. Retrieved from http://www.law.go.kr/eng/engLsSc.do?menuId=1&query=%EC%A7%80%EB%B0%A9%EC%9E%90%EC%B9%98%EB%B2%95&x=0&y=0#liBgcolor13
15 Ministry of the Interior and Safety (2017). Public data, open standards guide: MOGAHA notice no. 2016-46. Retrieved from https://www.data.go.kr/information/PDS_0000000000000255/recsroom.do
16 National Information Society Agency (2016b). Open government data quality management manual. Retrieved from https://www.data.go.kr/information/PDS_0000000000000404/recsroom.do
17 Open Knowledge International, ed. (2017). Open data handbook, open knowledge. Retrieved from http://opendatahandbook.org/
18 Safarov, I., Meijer, A., & Grimmelikhuijsen, S. (2017). Utilization of open government data: A systematic literature review of types, conditions, effects and users. Information Polity, 22(1), 1-24.   DOI
19 Seo, H. (2017a). An empirical study on open government data: Focusing on ODB and OUR index. Information Policy, 24(1), 48-78.
20 Seo. H. (2017b). A critical review on open, useful, reusable government data index by OECD with level of domestic open government data: Focusing on comparison with Open Data Barometer. Information Policy, 24(2), 43-67.
21 Tran, E., & Scholtes, G. (2015). Open data literature review. Retrieved from https://www.law.berkeley.edu/wp-content/uploads/2015/04/Final_OpenDataLitReview_2015-04-14_1.1.pdf
22 Web Foundation (2017). The open data barometer 4th ed., web foundation. Retrieved from https://webfoundation.org/2017/05/open-data-barometer-4th-edition-coming-may-23/.