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Building Knowledge Graph of the Korea Administrative District for Interlinking Public Open Data

공공데이터의 의미적 연계를 위한 행정구역 지식 그래프 구축

  • 김학래 (한국과학기술정보연구원)
  • Received : 2017.08.10
  • Accepted : 2017.10.30
  • Published : 2017.12.28

Abstract

Open data has received a lot of attention from around the world. The Korean government is also making efforts to open government data. However, despite the quantitative increase in public data, the lack of data is still pointed out. This paper proposes a method to improve data sharing and utilization by semantically linking public data. First, we propose a knowledge model for expressing administrative districts and their semantic relationships in Korea. An administrative district is an administrative unit that divides the territory of a nation, which is a unit of politics, according to the purpose of the state administration. The knowledge model of the administrative district defines the structure of the administrative district system and the relationship between administrative units based on the Local Autonomy Act. Second, a knowledge graph of the administrative districts is introduced. As a reference information to link public open data at a semantic level, some characteristics of a knowledge graph of administrative districts and methods for linking heterogeneous public open data and improving data quality are addressed. Finally, some use cases are addressed for interlinking between the knowledge graph of the administrative districts and public open data. In particular, national administrative organisations are interlinked with the knowledge graph, and it demonstrates how the knowledge graph can be utilised for improving data identification and data quality.

Keywords

Administrative District;Knowledge Graph;Ontology;Open Data

Acknowledgement

Supported by : 한국과학기술정보연구원(KISTI)

References

  1. National Science and Technology Council (NSTC), "Preparing for the Future of Artificial Intelligence," available at https://obamawhitehouse.archives. gov/sites/default/files/whitehouse_files/microsit es/ostp/NSTC/preparing_for_the_future_of_ai.pdf, 2016.
  2. World Wide Web Foundation, "Open Data Barometer 4th Edition," available at http://opendatabarometer.org/
  3. H. Santos, V. Dantas, V. Furtado, P. Pinheiro, and D. L. McGuinness, "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, 2017.
  4. 김학래, 지식그래프, 커뮤티케이션북스, 2017.
  5. K. Janowicz, P. Hitzler, B. Adams, D. Kolas, and C. Vardeman, "Five stars of Linked Data vocabulary use," Semantic Web 5, No.3, pp.173-176, 2014.
  6. 한국정보화진흥원, 2014 링크드 오픈 데이터 국내 구축 사례집, http://lod.seoul.go.kr/home/guide/ 2014_Linked_Open_Data_internal_build_case.pdf
  7. 윤소영, "공공데이터 활용을 위한 링크드 데이터 국가 연계체계 구축에 관한 연구," 한국정보관리학회, 제30권, 제1호, pp.259-284, 2013.
  8. 윤소영, "LOD 기반 한국사 콘텐츠 서비스 구축에 관한 연구 한국정보관리학회," 정보관리학회지, 제30권, 제3호, pp.297-315, 2013.
  9. 현은석, "링크드 데이터 관점의 빅데이터와 공공 데이터," 디지털도서관, 2014년 봄호, 제73호, pp.89-106, 2014.
  10. 이재걸, 김재홍, 김종배, 김광용, "전자정부 서비스 활성화를 위한 공공데이터 확장 모델," Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology, Vol.7, No.3, pp.241-252, 2017(3).
  11. 김학래, "시맨틱 웹과 의미적 연결성: 웹 사이언스를 위한 출발점," 정보과학회지, 제28권, 제3호, pp.31-40, 2010.
  12. Open Knowledge, "Open data handbook," http://opendatahandbook.org/
  13. 행정안전부, 공공데이터의 제공 및 이용 활성화에 관한 법률 (약칭:공공데이터법) 법률 제11956 호, 2013.
  14. 행정안전부, 공공데이터 관리지침, 행정자치부/ 공공데이터활용지원센터, 2017.
  15. 강희종, "공공데이터의 효율적 활용을 위한 정책 과제," 과학기술정책연구원, STEPI Insight 156, pp.1-30, 2014(12).
  16. 권성아, 백승환, 이지연, "국내 공공데이터 개방 현황 및 활용사례 분석," 한국정보관리학회 학술대회 논문집, pp.37-45, 2015(8).
  17. 행정안전부, 지방자치법 법률 제14768호, 2017.