데이터 로딩 자동화를 위한 RESTful 웹서비스 개발- 일별 기상자료 처리를 중심으로 - (Development of RESTful Web Service for Loading Data focusing on Daily Meteorological Data)

서지정보

· 발행기관 : 한국농공학회
· 수록지 정보 : 한국농공학회논문집 / 56권 / 6호 / 93 ~ 102페이지
· 저자명 : 김태곤, 이정재, 남원호, 서교

초록

Generally data loading is a laborous job to develop models. Meteorological data is basic input data for hydrological models, it is provided throughwebsites of Korea Meteorological Administration (KMA). The website of KMA provides daily meteorological observation data with tabular formatclassified by years, items, stations. It is cumbersome to manipulate tabular format for model inputs such as time series and multi-item or multi-station data.
The provider oriented services which broadcast restricted formed information have caused inconvenient processes. Tim O'Reilly introduces “Web 2.0”which focuses on providing a service based on data. The top ranked IT companies such as google, yahoo, daum, and naver provide customer orientedservices with Open API (Application Programming Interface). A RESTful web service, typical implementation for Open API, consists URI request andHTTP response which are simple and light weight protocol than SOAP (Simple Object Access Protocol). The aim of this study is to develop a web-basedservice that helps loading data for human use instead of machine use. In this study, the developed RESTful web service provides Open API formanipulating meteorological data. The proposed Open API can easily access from spreadsheet programs, web browsers, and various programmingenvironments.

영어초록

Generally data loading is a laborous job to develop models. Meteorological data is basic input data for hydrological models, it is provided throughwebsites of Korea Meteorological Administration (KMA). The website of KMA provides daily meteorological observation data with tabular formatclassified by years, items, stations. It is cumbersome to manipulate tabular format for model inputs such as time series and multi-item or multi-station data.
The provider oriented services which broadcast restricted formed information have caused inconvenient processes. Tim O'Reilly introduces “Web 2.0”which focuses on providing a service based on data. The top ranked IT companies such as google, yahoo, daum, and naver provide customer orientedservices with Open API (Application Programming Interface). A RESTful web service, typical implementation for Open API, consists URI request andHTTP response which are simple and light weight protocol than SOAP (Simple Object Access Protocol). The aim of this study is to develop a web-basedservice that helps loading data for human use instead of machine use. In this study, the developed RESTful web service provides Open API formanipulating meteorological data. The proposed Open API can easily access from spreadsheet programs, web browsers, and various programmingenvironments.

참고자료

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