• Title/Summary/Keyword: Public Data API

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A Study on Information Transmission based on OpenAPI (오픈API 기반의 정보전달에 관한 연구)

  • Choi, Shin-Hyeong
    • Advanced Industrial SCIence
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    • v.1 no.1
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    • pp.1-6
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    • 2022
  • As different news is reported every day in our daily life, the amount of data generated around us is enormous. Some of this data is personal, but there are some things that are common to everyone, such as weather and traffic information. This paper is a study on information transmission using public data to use information effectively and quickly, and investigated open API based on public data and API technology. Based on this, we explain a method of transmitting information using an open API that can be easily used in daily life, and propose a method to transmit information using various open APIs by applying this. If public data is used using the suggested method, it is possible to transmit information more easily and accurately, so it is possible to apply it to various fields.

A study on modularization of public data that can be used universally in the field of big data education (빅데이터교육 현장에서 범용적으로 활용 가능한 공공데이터 모듈화 연구)

  • Su-Youn Choi;Jong-Youel Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.1
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    • pp.655-661
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    • 2023
  • Big data, an important element of the 4th industrial revolution, is actively opening public data in public institutions and local governments. In the public data portal, everyone can conveniently search for data and check related data, but only those in ICT-related fields are using public data. Although data held by public institutions is open to citizens, it is difficult for anyone to easily utilize public data to develop applications. In this paper, data provided in open API format from public data portals has XML and JSON formats. In this study, we are a method of modularizing public data in XML format into a part that can be easily developed by linking it to a GUI interface. Based on the necessary public data, we propose a way to easily develop mobile programs and promote the use of public data.

Design and Implementation of A Dynamic API Platform for Interworking Across Heterogeneous Platforms (이기종 플랫폼간 상호연동을 위한 동적 API 플랫폼의 설계 및 구현)

  • Ryu, Minwoo;Cha, Si-Ho
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.17 no.2
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    • pp.29-35
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    • 2021
  • Recently, with the widespread use of the Internet of Things (IoT), the service structure has been studied to interact with various service domains. A common way to interact with other service domains is to develop the APIs needed to interact on the platform. However, to use a common method, we consider many costs and resources as APIs can increase while adding connections from other service domains. To address this issue, we propose the design and implementation of a dynamic API platform. The proposed platform can dynamically create APIs when requesting service applications, depending on the target service domain. To demonstrate the feasibility of the proposed platform, we develop a COVID-19 weekly infection status, regional infection status, and vaccination status service using dynamic APIs from the Public Data Portal using the proposed dynamic API platform and Node-RED.

A Study on the Public Data Activation Strategy based on App Developed by Non-Profession User

  • Chang, Young-Hyun
    • International journal of advanced smart convergence
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    • v.6 no.1
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    • pp.32-38
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    • 2017
  • In Korea, the act for promoting use of the public data has been enforced since 2013. The Key Government 3.0 Strategy was established for providing the public data as an obligation of public authorities for users to use them free of charge. The aim of open public data and using them targeted by the government is creation of a solution for vitalizing the economy by using the public data. However, the reason for low usability and tangible outcomes despite unlimited provision of open government data is as follows. That is, it is essential to address the issue of difficult software technology required to access public data for using the data. However, with the open API method currently provided, the development procedure is not easy even for IT students or specialized software developers. Therefore, strategies for each step ideal for the level of developers are required to vitalize applications based on the public data and developed by ordinary users. Two strategic methods can be used for facilitating the use of public data and applications developed by ordinary users suggested in this paper on the basis of the public data portal organized by the Ministry of the Interior and provided to all ordinary users. That is, they are applications developed in the web browser environment and those developed in the PC environment. They allow ordinary users to develop and distribute applications based on the public data to contribute to enforcing the policy for facilitating the use of public data of the government just with basic training and basic knowledge from the training without using program coding knowledge of open API which requires the knowledge of development professionals.

Mashup Application for Geo-spatial Feature Generation on Web Browser using Google Maps API

  • Park, Yong-Jae;Lee, Ki-Won
    • Korean Journal of Remote Sensing
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    • v.24 no.5
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    • pp.389-396
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    • 2008
  • In these days, various kinds of web applications based on web 2.0 paradigm have been developed. In web 2.0 paradigm pursuing participation, sharing, and openness on the web-as-platform, web mapping or web GIS application are regarded as top most applications, so that web applications, handling geo-spatial contents, with user-interaction interface and search engine of high performance have been provided for both public users and expert users in the special domains. Public and industrial needs for web mapping mashup application by open API, linked with the practical web computing technologies, are gradually increasing. In this study, a user interface in mashup for geo-spatial feature generation was implemented by using mainly Google maps API. Spatial database resources in this implementation are those of Google mapping server. As the results, public users on web client can create their own geo-spatial data sets in web vector formats, without the help of any GIS tools or access to proprietary databases. It is concluded that web-based mashup application in client-side using open API can be used as an alternative for geo-browsing system or portable feature generation system.

A Study on National Linking System Implementation based on Linked Data for Public Data (공공데이터 활용을 위한 링크드 데이터 국가 연계체계 구축에 관한 연구)

  • Yoon, So-Young
    • Journal of the Korean Society for information Management
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    • v.30 no.1
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    • pp.259-284
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    • 2013
  • Public information has been collected in various fields with huge costs in order to serve public purposes such as public agencies' policy-making. However, the collected public information has been overlooked as silos. In korea, many attempts have been made to open the public information to the public only to result in limited extent, where OpenAPI data is being presented by some agencies. Recently, at the national level, the LOD(Linking Open Data) project has built the national DB, initiating the ground on which the linked data will be based for their active availability. This study has outlined overall problems in earlier projects which have built up national linking systems based on linked data for public data use. A possible solution has been proposed with a real experience of having set up an existing national DB of Korean public agencies.

Utilization Method of Mashup Using Public Data and Public API in Mobile Environment (모바일 환경에서 공공데이터와 공개API를 이용한 매시업 활용방안)

  • Jo, Hyun-Sung;Park, Seok-Cheon;Park, Jun-Sik
    • Proceedings of the Korea Information Processing Society Conference
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    • 2013.11a
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    • pp.561-563
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    • 2013
  • 모바일 디바이스가 확산 된 이후 대다수 사용자는 PC의 웹브라우저 보다는 모바일 웹브라우저를 이용하고 있다. 모바일 환경에서 매시업은 최근 몇 년 동안 상당한 관심을 받고 있으며, 정부 3.0이 주도되면서 공공데이터의 공개가 활성화되고 민간기업도 API를 공개 하고 있다. 따라서 본 논문에서는 모바일환경에서 공공데이터와 공개API를 이용한 매시업 활용방안을 연구 및 분석한다.

A Method for Selective Storing and Visualization of Public Big Data Using XML Structure (XML구조를 이용한 공공 빅데이터의 선별 저장 및 시각화 방법)

  • Back, BongHyun;Ha, Il-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.12
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    • pp.2305-2311
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    • 2017
  • In recent years, there have been tries to open public data from various government agencies along with publicization of public information for the public interest. In other words, various kinds of electronic data generated and collected by the public institutions as a result of their work are opened in the public portal sites. However, users who use it are limited in their use of big data due to lack of understanding of data format, lack of data processing knowledge, difficulty in accessing and managing data, and lack of visualization data to understand collected and stored data. Therefore, in this study, we propose a big data collection, storing and visualization platform that can collect big data provided by various public sites using data set URL and API regardless of data format, re-process collected data using XML structure.

A change of the public's emotion depending on Temperature & Humidity index (온습도에 따른 대중의 감성(감정+감각) 활동 변화)

  • Yang, Junggi;Kim, Geunyoung;Lee, Youngho;Kang, Un-Gu
    • Journal of Digital Convergence
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    • v.12 no.10
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    • pp.243-252
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    • 2014
  • Many researches about the effect on politics, economics and Sociocultural phenomenon using the social media are in progress. Authors utilized NAVER Trend most famous web browsing service in korea, NAVER Blog social media, NAVER Cafe service and Open Data(API) and also used temperature, humidity index data of Korea Meteorological Administration. This study analyzed a change of the public's emotion in korea using Cluster analysis of vocabulary of taste among its of feelings and senses. K-means clustering was followed by decision of the number of groups which was used Chi-square goodness of fit test and ward analysis. Eight groups was made and it represented sensitive vocabulary. By Discriminant analysis, eight groups decided by Cluster analysis has 98.9% accuracy. The change of the public's emotion has capability to predict people's activity so they can share sensibility and a bond of sympathy developed between them.

SNA Pattern Analysis on the Public Software Industry based on Open API Big Data from Korea Public Procurement Service (조달청 OPEN API 빅데이터를 활용한 공공 소프트웨어 산업의 SNA 패턴 분석)

  • KIM, Sojung lucia;Shim, Seon-Young;Seo, Yong-Won
    • Informatization Policy
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    • v.24 no.3
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    • pp.42-66
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    • 2017
  • This study investigated the ecological change of public software industry, comparing the pre and post structure of industry network based on the application of the regulation restricting large company participation in public software market. For this purpose, we used big data of the software market from Korea Public Procurement Service and used the SNA(Social Network Analysis) methodology which is being actively used in the area of social science recently. Finally, we highlighted the contribution of open public data. By analyzing order and contract data of the public software industry for 3 years - from 2013 to 2015 - we found out two main things. First, we observed that Power Law distribution had been going on in the public software industry, regardless of the external impact of regulation. Second, despite the existence of such Power Law distribution, we also observed the ecological change of industry structure from year to year. We presented the implication of such findings and discussed the advantage of open public data as the original motivator of this study.