건축물 주소 기반의 공공개방데이터 활용성 제고를 위한 주소오류유형 분석 = Errors in Address Data for Address Based Integration of Building Open Data Using Open API

다국어 초록 (Multilingual Abstract)

This study aims to present an actual case study of address as the reference point, for the integration of public open application programming interface (Open API). Possible improvements were suggested for address data management by investigating error cases of address data. An algorithm for automated distinguishability of address data error was presented. After that, 86,586 address data from the government public data portal (data.go.kr) was processed with the algorithm. The results of the error cases were classified into five categories, the reasons for occurrence were discovered, and improvements were then suggested. This study mainly contributes to the analysis of actual cases of public address data with the purpose of facilitating data-based integration of public open data. Further study is needed to develop an algorithm to consider detailed addresses and to expand the range of data to private data with a de-identification process. This study hopes to serve as the basis for improved address-based utilization of public data in the construction field.

국문 초록 (Abstract)

건축도시 분야에서 공공개방데이터의 활용가능성 및 중요성은 지속적으로 강조되고 있음에도, 데이터 품질 문제로 인한 개선 필요성 또한 지적되고 있다. 이에 따라, 본 논문은 OpenAPI를 활용한 건축도시 분야에서 건축물 데이터를 연계하기 위한 식별 키가 되는 주소 데이터 내부에 존재하는 오류유형을 분석하였다. 구체적으로는 주소오류유형을 자동분류하기 위한 알고리즘을 개발하였고, 이를 통해 86,586개의 공공기관 주소목록을 분석하였다. 또한, 분석 결과에 대한 유형화 및 유형별 발생원인, 대응방안을 제시하였다.

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