Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data
Government codes are created and utilized to streamline and standardize government administrative procedures. They are generally employed in government information systems. Because they are included in open datasets of public data, users must be able to understand them. However, information that can...
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Format: | Article |
Language: | English |
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Korea Institute of Science and Technology Information
2023-09-01
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Series: | Journal of Information Science Theory and Practice |
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Online Access: | https://data.doi.or.kr/10.1633/JISTaP.2023.11.3.4 |
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author | Haklae Kim |
author_facet | Haklae Kim |
author_sort | Haklae Kim |
collection | DOAJ |
description | Government codes are created and utilized to streamline and standardize government administrative procedures. They are generally employed in government information systems. Because they are included in open datasets of public data, users must be able to understand them. However, information that can be used to comprehend administrative code is lost during the process of releasing data in the government system, making it difficult for data consumers to grasp the code and limiting the connection or convergence of different datasets that use the same code.This study proposes a way to employ the administrative code produced by the Korean government as a standard in a public data environment on a regular basis. Because consumers of public data are barred from accessing government systems, a means of universal access to administrative code is required. An ontology model is used to represent the administrative code’s data structure and meaning, and the full administrative code is built as a knowledge graph. The knowledge graph thus created is used to assess the accuracy and connection of administrative codes in public data. The method proposed in this study has the potential to increase the quality of coded information in public data as well as data connectivity. |
first_indexed | 2024-03-11T21:50:22Z |
format | Article |
id | doaj.art-4930f9704c044662948ebb7739601c8f |
institution | Directory Open Access Journal |
issn | 2287-9099 2287-4577 |
language | English |
last_indexed | 2024-03-11T21:50:22Z |
publishDate | 2023-09-01 |
publisher | Korea Institute of Science and Technology Information |
record_format | Article |
series | Journal of Information Science Theory and Practice |
spelling | doaj.art-4930f9704c044662948ebb7739601c8f2023-09-26T09:01:27ZengKorea Institute of Science and Technology InformationJournal of Information Science Theory and Practice2287-90992287-45772023-09-0111310.1633/JISTaP.2023.11.3.4JISTaP.2023.11.3.4Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public DataHaklae Kim0Department of Library and Information Science, College of Social Sciences, Chung-Ang University, Seoul, Korea E-mail: haklaekim@cau.ac.krGovernment codes are created and utilized to streamline and standardize government administrative procedures. They are generally employed in government information systems. Because they are included in open datasets of public data, users must be able to understand them. However, information that can be used to comprehend administrative code is lost during the process of releasing data in the government system, making it difficult for data consumers to grasp the code and limiting the connection or convergence of different datasets that use the same code.This study proposes a way to employ the administrative code produced by the Korean government as a standard in a public data environment on a regular basis. Because consumers of public data are barred from accessing government systems, a means of universal access to administrative code is required. An ontology model is used to represent the administrative code’s data structure and meaning, and the full administrative code is built as a knowledge graph. The knowledge graph thus created is used to assess the accuracy and connection of administrative codes in public data. The method proposed in this study has the potential to increase the quality of coded information in public data as well as data connectivity.https://data.doi.or.kr/10.1633/JISTaP.2023.11.3.4administrative codepublic dataknowledge graphdata quality |
spellingShingle | Haklae Kim Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data Journal of Information Science Theory and Practice administrative code public data knowledge graph data quality |
title | Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data |
title_full | Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data |
title_fullStr | Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data |
title_full_unstemmed | Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data |
title_short | Knowledge Graph of Administrative Codes in Korea: The Case for Improving Data Quality and Interlinking of Public Data |
title_sort | knowledge graph of administrative codes in korea the case for improving data quality and interlinking of public data |
topic | administrative code public data knowledge graph data quality |
url | https://data.doi.or.kr/10.1633/JISTaP.2023.11.3.4 |
work_keys_str_mv | AT haklaekim knowledgegraphofadministrativecodesinkoreathecaseforimprovingdataqualityandinterlinkingofpublicdata |