• Journal of the Korean Society for Library and Information Science
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• v.43 no.2
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• pp.299-328
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• 2009

In this study, the present condition of 8 Open APIs for books, such as Naver, Daum, Aladdin, Amazon, Google, KERIS, LibraryThing, and OCLC, were compared and analyzed. In addition, the bibliographic records of 167 samples of visible 'light & paraphotic' (DDC 535) classifications were selected from the bibliographic records of the library of C university, and the effectiveness of the Open APIs were compared and analyzed. On the basis of the results of this analysis, 12 Open API application models, which were judged to be useful in expanding the function of the access point of the bibliographic records and enhancing the library catalog using Open API, were experimentally implemented. Various methods of augmenting access points of bibliographic records and expanded library catalogue were investigated using the unique identifier described in the KORMARC fields of 001, 010, 012, 020, 035, 246, 505, 520, 850, 856 for the integrated format for bibliographic data, and Open API. Finally, using Open API for the brief display and detailed display screen as a result of search of the OPAC of the sample bibliographic records, the devices for the expanding library catalog were implemented as examples.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.560-563
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• 2011

본 논문은 온라인상에서 제공되는 다양한 정보와 기술을 사용하여 20세기민중생활사 연구단의 디지털아카이브즈 시스템을 보다 효율적으로 사용하기 위한 방안을 제시하였다. 자료 관리를 위하여 기본적으로 더블린 코어 표준에 기초한 20세기민중생활사 디지털 아카이브즈 시스템 데이터베이스를 사용하였으며, Daum과 Naver에서 제공하는 Open API를 통하여 디지털 아카이브즈 데이터를 보다 현장감 있게 사용할 수 있도록 하였다.

• Journal of Internet of Things and Convergence
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• v.4 no.1
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• pp.31-36
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• 2018

In this paper, we developed a chatbot system using the Django framework using the KakaoTalk API so that college students can easily search for important information in their university. Unlike existing chatbot systems that provide only specific information, the chatbot developed in this research automatically provides search results for various types of user queries such as weather, YouTube, Naver real-time ranking search and language translation as well as important information within their own university. We developed a module using Apache, Python and Django in AWS Ubuntu server and developed a chatbot system that automatically responds to user queries by communicating with KakaoTalk server using KakaoTalk API and BeautifulSoup. The system developed in this study is expected to be applicable to the future university entrance information promotion and election promotion system.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.281-299
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• 2011

The purpose of this study is to understand and analyze the satisfaction level of users regarding the search and search results of D College Library system implemented by Open API. For the study, 90 students of D College searched the library system with 4 subjects regarding on current affairs and assignments, and then evaluated the satisfaction on search functionality and contents usability. In results, they satisfied search expansion in general. Especially, the satisfaction levels for the convenience of search method and preview was the highest, but that of level for the arrangement and browsing of search results and the searching speed was the lowest. In terms of currentness, relevance, usefulness and utilizability aspects, Naver was the most highly evaluated, followed by library’s database, dissertation/academic journals, Youtube and Flikr. The cause of the unsatisfactory could be reduced when the library system implements the useful and attractive search interface.

• Journal of The Korean Society of Agricultural Engineers
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• v.56 no.6
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• pp.93-102
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• 2014

Generally data loading is a laborous job to develop models. Meteorological data is basic input data for hydrological models, it is provided through websites of Korea Meteorological Administration (KMA). The website of KMA provides daily meteorological observation data with tabular format classified 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 oriented services with Open API (Application Programming Interface). A RESTful web service, typical implementation for Open API, consists URI request and HTTP response which are simple and light weight protocol than SOAP (Simple Object Access Protocol). The aim of this study is to develop a web-based service that helps loading data for human use instead of machine use. In this study, the developed RESTful web service provides Open API for manipulating meteorological data. The proposed Open API can easily access from spreadsheet programs, web browsers, and various programming environments.

• Journal of Cadastre & Land InformatiX
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• v.47 no.2
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• pp.49-60
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• 2017

Recently, the use of mashup that integrates real-time data with spatial data such as tiled map and satellite imagery has been increased significantly. As the use of mashup has been extended to various fields of O2O, LBS, Smart City, and Autonomous Driving, the performance of mashup has become more important. Therefore, this study aims to compare and analyze the performance of various map platforms, when large amounts of real-time data are integrated with spatial data. Specifically, we compare the performance of most popular map platforms available in Korea, such as Google Maps, OpenStreetMap, Daum Map, Naver Map, olleh Map, and VWorld. We also compare the performance using most common web browsers of Chrome, Firefox and Internet Explorer. In the performance analysis, we measured and compared the initialization time of basic map and the mashup time of real-time data for the above map platforms. From analysis results, we could find that Google Maps, OpenStreetMap, VWorld, and olleh Map platforms showed a better performance than the others.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.4
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• pp.745-754
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• 2019

As GeoWeb 2.0 technologies are widely used, various kinds of services that mashup spatial data and user data are being developed. In particular, various spatial information platforms such as Google Maps, OpenStreetMap, Daum Map, Naver Map, olleh Map, and VWorld based on GeoWeb 2.0 technologies support mashup service. The mashup service which is supported through the Open APIs of the platforms, provides various kinds of spatial data such as 2D map, 3D map, and aerial image. Also, application fields using the mashup service are greatly expanded. Recently, as user data for mashup have been greatly increased, there was a problem in mashup performance. However, the research on the mashup performance improvement is currently insufficient, even the research on the mashup performance comparison of various platforms has not been performed. In this paper, we perform comparative analysis of the mashup performance for large amounts of user data and spatial data using various spatial information platforms available in Korea. Specifically, we propose two performance analysis indexes of mashup time and user interaction time in order to analyze the mashup performance efficiently. Also, we implement a system for the performance analysis. Finally, from the performance analysis result, we propose a spatial information platform that can be efficiently applied to cases when user data increases greatly and user interaction occurs frequently.

• The KIPS Transactions:PartB
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• v.16B no.2
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• pp.181-194
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• 2009

With the increased interest on the document copyright, many of researches related to the document plagiarism have been done up to now. The plagiarism problem of newspaper articles has attracted much interest because the plagiarism cases of the articles having much commercial values in market are currently happened very often. Many researches related to the document plagiarism have been so hard to be applied to the newspaper articles because they have strong real-time characteristics. So to detect the plagiarism of the articles, many human detectors have to read every single thousands of articles published by hundreds of newspaper companies manually. In this paper, we firstly sorted out the articles with high possibility of being copied by utilizing OpenAPI modules supported by web search companies such as Naver and Daum. Then, we measured the document similarity between selected articles and the original article and made the system decide whether the article was plagiarized or not. In experiment, we used YonHap News articles as the original articles and we also made the system select the suspicious articles from all searched articles by Naver and Daum news search services.

• The Journal of the Korea Contents Association
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• v.18 no.5
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• pp.367-375
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• 2018

The study aims to determine which groups leave longer(more active) online reviews(comments) on the film by separating groups, one that satisfied with the movie while the other group dissatisfied with the movie. The data used were rating scores and reviews(comments) from Naver Movie API, and break-even point data provided by Korea Film Commission. We analyzed the relationship between movie rating and review length, before and after movie opening, the characteristics of review length according to the box office, and whether the movie rating affects the review length.

• Proceedings of the Korean Society of Computer Information Conference
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• 2015.07a
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• pp.79-80
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• 2015

본 프로젝트는 신입생들을 대상으로 대학캠퍼스 및 대학생활을 빠르게 적응할 수 있도록 시설물의 위치 및 활용방법, 학사 행정, 수강 및 강의실 등 학교생활에 유용한 정보들을 자연스럽게 전달할 수 있는 오락용 어플리케이션이다. 빠른 학교생활적응과 부가적이고 적절한 유용 정보를 제공하기 위해 미션을 해결하면서 목적을 달성하는 시나리오로 최종 미션을 완성할 수 있도록 구성하였다. 기술적으로는 QR코드를 활용한 정보 및 미션을 제공하고 GPS 위치 정보를 활용한 자신의 위치와 캠퍼스 맵, 미션 힌트 정보를 제공한다. 이러한 미션 수행 과정을 통해 대학생활에 유용한 정보를 얻을 수 있는 오락용 프로젝트이다.