• Journal of the Korean BIBLIA Society for library and Information Science
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• v.33 no.4
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• pp.249-269
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• 2022

The Public Data Portal(data.go.kr) is a gateway for searching and using public data in South Korea. In 2021, the Ministry of Public Administration and Security established individual portal maintenance plans. Individual portals refer to portals built by public institutions in Korea other than the public data portal. According to the maintenance plan, the Korea Intelligence Information Society, the operator of the public data portal, needs to establish operating and data integration plans to link the public data portal and individual portals. In this study, we investigated the current operating status and data integration methods of the public data portal in South Korea, the United States, the United Kingdom, and France, and proposed that the adoption of a top-down approach is efficient when integrating data. In addition, we divided the specific procedures that should be pursued when integrating data into five stages: determination of data integration standard methods, analysis of metadata status, expansion of operating infrastructure, confirmation of data import, and launch of services.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.4
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• pp.460-465
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• 2024

MongoDB, a document-based database, is suitable for distributed management environments of large-scale databases due to its high scalability, performance, and flexibility. Recently, as MongoDB has been widely used as a new database, many studies have been conducted including data modeling for MongoDB and studies on applying MongoDB to various applications. In this paper, we propose a data modeling method for implementing Seoul public transportation data with MongoDB. Seoul public transportation data is public data provided by the Korea Public Data Portal. In this study, we analyze the target data and find design patterns such as polymorphic pattern, subset pattern, computed pattern, and extended reference pattern in the data. Then, we present data modeling with these patterns. We also show examples of implementation of Seoul public transportation database in MongoDB. The proposed modeling method can improve database performance by leveraging the flexibility and scalability that are characteristics of MongoDB.

• Journal of The Korean Association of Information Education
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• v.26 no.5
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• pp.439-448
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• 2022

This study aims to search for education-related datasets provided by public data portals and examine what data types are constructed through classification using topic modeling methods. Regarding the data of the public data portal, 3,072 cases of file data in the education field were collected based on the classification system. Text mining analysis was performed using the LDA-based topic modeling method with stopword processing and data pre-processing for each dataset. Program information and student-supporting notifications were usually provided in the pre-classified dataset for education from the data portal. On the other hand, the characteristics of educational programs and supporting information for the disabled, parents, the elderly, and children through the perspective of lifelong education were generally indicated in the dataset collected by searching for education. The results of data analysis through this study show that providing sufficient educational information through the public data portal would be better to help the students' data science-based decision-making and problem-solving skills.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.3
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• pp.51-58
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• 2018

In order to utilize various data provided by Korea public open data portal, data should be systematically managed using a database. Since the range of open data is enormous, and the amount of data continues to increase, it is preferable to use a database capable of processing big data in order to analyze and utilize the data. This paper proposes data modeling and implementation method suitable for public data. The target data is subway related data provided by the public open data portal. Schema of the public data related to Seoul metro stations are analyzed and problems of the schema are presented. To solve these problems, this paper proposes a method to normalize and structure the subway data and model it in NoSQL database. In addition, the implementation result is shown by using MongDB which is a document-based database capable of processing big data.

• Journal of Information Science Theory and Practice
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• v.5 no.2
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• pp.17-32
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• 2017

We compared nanotechnology web portal requirements using a Kano method, to identify similarities and dissimilarities in Kano-categorizations of features and functions required of nanotechnology among users in universities, government research institutes, and industry. Based upon data obtained from 130 user members of the National Nanotechnology Policy Centre, this study analyzed assessed asymmetries in web users' feelings based on hypothesized provision and non-provision of web portal requirements. In doing this, this study utilized measures and procedures suggested in the literature such as the most frequent-response categorization, customer satisfaction (dissatisfaction) coefficient, category strength and total strength, and Fong test. This study found that overall, sectors were an important factor in explaining the relationships between web portal requirements and user satisfaction/expectations. When these requirements were classified, users' perceptions of information contents requirements were consistent across the sectors, but the other functional requirements including communication and collaborations considerably varied.

• Journal of Korea Society of Digital Industry and Information Management
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• v.11 no.1
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• pp.157-169
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• 2015

In digital marketing, means of public relations and marketing of enterprises are changing into marketing techniques of predictive analytics. A significant study can be carried out by an analysis of 'the patterns of customers' uses' using big data on major portal sites and SNSs and their correlation with related keywords. This study analyzes the origins of mythological characters in major brands such as Nike, Hermes, Versace, Canon and Starbucks. Also, it extracts related keywords and relevance using big data on portal sites and SNS and their correlation. Nike marketing that reminds people of 'the goddess of victory, Nike' formed a good combination of the brand with relevance. Most of them are based on Greek mythology and have rich materials for storytelling and artistic values in common. Hopefully, this case analysis of foreign brands would become a starting point of discovering the materials of the domestic mythological characters.

• Korean Journal of Ecology and Environment
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• v.51 no.3
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• pp.212-220
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• 2018

Ecological and ecosystem database is becoming very necessary to understand origins and relationship between human and nature and also to minimize disturbance caused by human activities. An ecological information portal can play important roles as a computing system to collect knowledge, distributed research findings and separated data from researchers. In this study, we designed and developed ecological information portal service (EcoBank 1.0) for collecting and providing ecological information for diverse classes of stakeholders. To reach the goal, we had reviewed related and comparable ecological database portals to design conceptual structure of EcoBank system including database management framework. Then, we developed some functions of ecosystem analysis for each stake-holders (researchers, general public and policy makers). As a result of this study, we successfully designed of EcoBank system covering the functions of Digital Object Identifier(DOI) publishing and data quality management process. Also, we (1) applied ecological indices for calculating biodiversity by administrative boundary for policy makers, (2) provided statistical information of econature map for general public and distribution characteristics of species for researchers. To make a successful establishment of EcoBank, we have to collect and build up related database and offer various and reliable ecological data consistently. We expect that the successful construction of EcoBank will help not only to accomplish sustainable development goals but also to raise the welfare of ecosystem in Korea.

• The Korea Journal of Herbology
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• v.31 no.4
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• pp.93-100
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• 2016

Objectives : The internet is the most common method to investigate information. It is showed that 75.2% of Internet users of 20s had health information search experience. So this study is aim to understanding of interest of public about the herbal medicine using internet search query volume data.Methods : The Naver that is the top internet portal web service of the Republic of Korea has provided an Internet search query volume data from January 2007 to the current through the Naver data lab (http://datalab.naver.com) service. We have collected search query volume data which was provided by the Naver in 606 herbal medicine names and sorted the data by peak and total search volume.Results : The most frequently searched herbal medicines which has less bias and sorted by peak search volume is 'wasong (와송)'. And the most frequently searched herbal medicines which has less bias and sorted by total search volume is 'hasuo (하수오)'.Conclustions : This study is showed that the rank of interest of public about herbal medicines. Among the above herbal medicines, some herbal medicines had supply issue. And there are some other herbal medicines that had very little demand in Korean medicine market, but highly interested public. So it is necessary to monitor for these herbal medicines which is highly interested of the public. Furthermore if the reliability of the data obtained on the basis of these studies, it is possible to be utilizing herbal medicine monitoring service.

• 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.

• Nuclear Engineering and Technology
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• v.53 no.6
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• pp.2046-2055
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• 2021

This paper analyzed the primary concerns about radiation among the Korean public with a big data analysis of questions posted at the section of "Knowledge iN" on the portal site NAVER in Korea from January 2010 to August 2020. First, we extracted questions about radiation and categorized them into the three categories with TF-IDF analysis: "Medical," "Career Counseling," and "General Interest". The "Medical" category includes questions about radiation diagnosis or treatment. The "Career Counseling" category includes questions about entering college and the prospect of finding jobs in radiation-related fields. The "General Interest" category includes questions about terminology and the basic knowledge of radiation or radioisotopes. Second, we extracted common questions for each category. Finally, we analyzed the temporal change in the numbers of questions for each category to confirm whether there is any correlation between radiation-related events and the number of questions. The analysis results demonstrate that major radiation-related events have little relevance to the number of questions except during March 2011.