• Title/Summary/Keyword: Public Data API

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A Study on the Safety Index Service Model by Disaster Sector using Big Data Analysis (빅데이터 분석을 활용한 재해 분야별 안전지수 서비스 모델 연구)

  • Jeong, Myoung Gyun;Lee, Seok Hyung;Kim, Chang Soo
    • Journal of the Society of Disaster Information
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    • v.16 no.4
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    • pp.682-690
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    • 2020
  • Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.

Design and Implementation of A Mobile Content Conversion System using J2ME MIDP (J2ME MIDP를 이용한 모바일 컨텐츠 변환 시스템 설계 및 구현)

  • Kim Suk-Hun;Sung Kyung
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.10 no.5
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    • pp.934-941
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    • 2006
  • Mobile machines displayed many problems in environment of Mobile data nin. So each Mobile companies made each emulator and API. As the result, CP Company had to support not special integrated service but each one tested and developed to each emulator for all Mobile companies. Those kinds of problems had caused the necessity of Mobile contents conversion system. In this theses, it presents the way to reduce huge expense by embodying contents conversion system that can convert each different contents to suitable one at each company and either how to not only improve reciprocal processing ability of data, but only to reduce expenses and efforts for development of public data and softness of program by using XML documents in environment of Mobile data service.

A Location Guide App Service for Electric Vehicle Charging Station using Public Data (공공데이터를 활용한 전기차 충전소 위치 안내 앱 서비스)

  • Kim, Jong-Woo;Oh, Sang-Hun;Min, Kyung-Hwi;Kim, Ki-Hyuk;Jung, Deok-Gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.370-372
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    • 2017
  • Recently, at home and abroad, as the demand and supply of electric vehicles have increased, the spread of charging stations for electric vehicles is accordingly spreading out. In this paper, we provide the location, price, and service information of the electric car charging station through the big data analysis by using Open API of the public data and evaluation service provided by KEPCO, thereby inducing communication among users.

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Analyzing Information Disclosure in the Construction CALS System: A Study on Improvement Strategies (건설CALS시스템 정보공개 현황분석을 통한 개선 방안 연구)

  • Xiu-Mei Zheng;Tae-Hak Kim
    • Journal of the Korean Society of Industry Convergence
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    • v.26 no.6_3
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    • pp.1243-1249
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    • 2023
  • The Public Data Act mandates that every public institution must make efforts to facilitate convenient access to public data for all and take necessary measures to universally expand the right to use such data. Furthermore, it specifies that the head of a public institution must provide the data held and managed by that institution to the citizens. The Construction Project Information Disclosure Service aims to increase the utilization of data within the Construction CALS System, creating new added value by disclosing information and fostering communication. This service seeks to enhance public interest and transparency, support the creation of new businesses based on construction project data, and stimulate related industries. Since 2019, a total of 26 types of information have been disclosed through this service. As the volume of disclosed information continues to increase, there has been a consistent demand for reducing burden on data providers and enhancing user functionality. This study analyzes the current status of the Construction CALS Information Disclosure System to identify its existing challenges. Subsequently, it establishes a systematic approach to the data opening process and proposes enhancements to information disclosure and search functionalities for addressing these challenges.

Quality Diagnosis of Library-Related Open Government Data: Focused on Book Details API of Data for Library (도서관 공공데이터의 품질에 관한 연구: 도서관 정보나루의 도서 상세 조회 API를 중심으로)

  • Yang, Suwan
    • Journal of the Korean Society for information Management
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    • v.37 no.4
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    • pp.181-206
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    • 2020
  • With the popularization of open government data, Library-related open government data is also open and utilized to the public. The purpose of this paper is to diagnose the quality of library-related open government data and propose improvement measures to enhance the quality based on the diagnosis result. As a result of diagnosing the completeness of the data, a number of blanks are identified in the bibliographic elements essential for identifying and searching a book. As a result of diagnosing the accuracy of the data, the bibliographic elements that are not compliant with the data schema have been identified. Based on the result of data quality diagnosis, this study suggested improving the data collection procedure, establishing data set schema, providing details on data collection and data processing, and publishing raw data.

An App Service for Providing the Position and Clinical Information of Hospital using Public Data (공공데이터를 활용한 병원 위치 및 진료 정보 제공 앱 서비스)

  • Jang, Jae-Hong;Ahn, Gwi-Im;Jung, Deok-gil
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.375-377
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    • 2017
  • 전 세계적으로 공공데이터를 민간에 개방하고자 하는 노력으로 오픈데이터(Open Data) 정책을 도입하고 있다. 최근 보건의료에서는 삶의 방식과 환경의 변화로 인해 다양한 질병에 노출될 가능성이 증가하면서 예방과 진료를 목적으로 의료기관을 이용하려는 고객의 수 또한 지속적으로 증가하고 있는 추세이다. 이에 이 논문에서는 공공데이터 심사평가원에서 제공하는 보건의료 공공데이터를 활용하여 의료기관 정보에 대한 대용량 데이터를 활용하여 앱을 개발하였다. 개발된 내용은 심사평가원의 의료기관별 정보와 구글 맵 Open API를 통해 병원 위치를 지도를 통해 제공하며, 추가적으로 각 병원별 진료과목, 시설 정보 등의 상세정보를 제공한다.

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A Study on Deducation of Standard API Sharing Data Elements for Policy Study Information Sharing (정책연구정보 공유를 위한 표준 API 공유 데이터 요소 도출에 관한 연구)

  • Park, Yang-Ha
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.32 no.1
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    • pp.391-413
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    • 2021
  • Policy study information is the essential source of information in every step of decision making process to plan, execute and assess the national operation policy. The policy study subject of a national policy research center from study design the performance assessment on its practical effect is managed via thorough process to secure its effectiveness and efficiency. However, the directly exposed information to the practical user or the public who are in need of actual policy study information is the resource published in a form of policy study report, the final result. NKIS operated by the National Research Council for Economics, Humanities and Social Sciences under the Office for Government Policy Coordination, Prime Minister's Secretariat is a public information offering service that conduct integrated management on study reports from cooperative study among institutes along with policy outcome from 27 national policy research centers. This study aims to introduce the current status of operation and information management of NKIS, apprehend the management characteristics of policy study information resources of national policy research center, and deduce remarks that need to be considered for API with external service for the derivation of standardized sharing data element.

A study on alarm broadcasting method using public data and IoT sensing data (공공데이터와 IoT 센싱 데이터를 활용한 경보방송 방법에 관한 연구)

  • Ryu, Taeha;Kim, Seungcheon
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.1
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    • pp.21-27
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    • 2022
  • As society develops and becomes more complex, new and diverse types of disasters such as fine dust and infectious diseases are occurring. However, in the past, there was no PA(Public Address) system that provided accurate information to prepare for such a disaster. In this paper, we propose a public address system that automatically broadcasts an alarm by analyzing polluted air quality data collected from public data and IoT sensors. The warning level varies depending on the air quality, and the information provided by public data may show a significantly different result from the guide area due to various factors such as the distance from the measuring station or the wind direction. To compensate for this, we are going to propose a method for broadcasting by comparing and analyzing data obtained from public data and data from on-site IoT sensors.

WebChemDB: An Integrated Chemical Database Retrieval System

  • Hou, Bo-Kyeng;Moon, Eun-Joung;Moon, Sung-Chul;Kim, Hae-Jin
    • Genomics & Informatics
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    • v.7 no.4
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    • pp.212-216
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    • 2009
  • WebChemDB is an integrated chemical database retrieval system that provides access to over 8 million publicly available chemical structures, including related information on their biological activities and direct links to other public chemical resources, such as PubChem, ChEBI, and DrugBank. The data are publicly available over the web, using two-dimensional (2D) and three-dimensional (3D) structure retrieval systems with various filters and molecular descriptors. The web services API also provides researchers with functionalities to programmatically manipulate, search, and analyze the data.

Design and Implementation of Customized Farming Applications using Public Data (공공데이터를 이용한 맞춤형 영농 어플리케이션 설계 및 구현)

  • Ko, Jooyoung;Yoon, Sungwook;Kim, Hyenki
    • Journal of Korea Multimedia Society
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    • v.18 no.6
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    • pp.772-779
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    • 2015
  • Advancing information technology have rapidly changed our service environment of life, culture, and industry. Computer information communication system is applied in medical, health, distribution, and business transaction. Smart is using new information by combining ability of computer and information. Although agriculture is labor intensive industry that requires a lot of hands, agriculture is becoming knowledge-based industry today. In agriculture field, computer communication system is applied on facilities farming and machinery Agricultural. In this paper, we designed and implemented application that provides personalized agriculture related information at the actual farming field. Also, this provides farmer a system that they can directly auction or sell their produced crops. We designed and implemented a system that parsing information of each seasonal, weather condition, market price, region based, crop, and disease and insects through individual setup on ubiquitous environment using location-based sensor network and processing data.