• Journal of Korean Library and Information Science Society
• /
• v.51 no.4
• /
• pp.121-156
• /
• 2020

Content curation aims to limit the user's experience to the most necessary content; to do this, it is necessary to identify users' information needs. Given that KISTI's Content Curation Center was established in 2018, it had little information about its users. This study intends to investigate what content scientists want to see from KISTI and how they want it curated. It investigated researchers who worked for government-funded research institutes through online surveys and telephone interviews. This study's results helped me review the current practice of KISTI content curation and give some suggestions to improve future practice. They present information on content and content curation services required by researchers; therefore, they can be used as a reference for information agencies (e.g., libraries, data centers) to improve their content curation practices.

• Smart Media Journal
• /
• v.9 no.4
• /
• pp.118-125
• /
• 2020

This paper is conducted for automatically recommending and providing information services desired by users on websites of local governments and public institutions with vast amounts of information, In this system, we defined a method of collecting data based on the SiiRU CMS system that collects and preprocesses data, and a study that provides curation services (contents and menus) to users through a collaborative filtering algorithm based on machine learning. Also, the data used in the paper is conducted based on about 1 million data collected in 2019. The analyzed data can provide important information that cannot be easily accessed by providing a cloud tag service or recommended menu for users to conveniently view, and the environment configuration that can realize this service to local governments and public institutions is also provided.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
• /
• v.11 no.6
• /
• pp.658-663
• /
• 2018

In this paper, a performance evaluation algorithm of contents curation platform is proposed. The evaluation starts with setting the initial-final conditions, and measures four performance evaluation parameters. These parameters are response rate of service, accuracy of response result, precision of analysis result, and recall rate of analysis result. To verify the effectiveness of the proposed algorithm, a database of 118,738 cases was constructed and the contents was opened on the Internet. In this experiment, 6,975,365 pageviews were applied to analysis user behavior. Through the measurement of four parameters, it was confirmed that the integrated and unit evaluation of content curation platform can be performed objectively.

• Journal of Information Science Theory and Practice
• /
• v.10 no.spc
• /
• pp.12-24
• /
• 2022

This study attempted to investigate changes in collaboration structure for each stage of national Research and Development (R&D) in the artificial intelligence (AI) field through analysis of a co-author network for papers written under national R&D projects. For this, author information was extracted from national R&D outcomes in AI from 2014 to 2019. For such R&D outcomes, NTIS (National Science & Technology Information Service) information from the KISTI (Korea Institute of Science and Technology Information) was utilized. In research collaboration in AI, power function structure, in which research efforts are led by some influential researchers, is found. In other words, less than 30 percent is linked to the largest cluster, and a segmented network pattern in which small groups are primarily developed is observed. This means a large research group with high connectivity and a small group are connected with each other, and a sporadic link is found. However, the largest cluster grew larger and denser over time, which means that as research became more intensified, new researchers joined a mainstream network, expanding a scope of collaboration. Such research intensification has expanded the scale of a collaborative researcher group and increased the number of large studies. Instead of maintaining conventional collaborative relationships, in addition, the number of new researchers has risen, forming new relationships over time.

• Journal of the Korea Convergence Society
• /
• v.6 no.4
• /
• pp.187-195
• /
• 2015

In the knowledge and information society which came into being with the advancements made in information and communication technology, there is an increasing perception of the importance of having knowledge and therefore being able to appropriately respond to the rapidly-changing society. Along with this, for the paradigm that stresses creativity and character, there must accompany advanced ways of conducting education which are capable of supporting changes in the educational objectives and contents. With respect to this, there is a need for sustained and long-term research into ways of utilizing SNS and ICT in the field of education. Accordingly, in this paper, a digital curation system was developed for educational contents that aim to develop one's creativity and character. Recently, web hacking is taking place actively. In this paper, a digital curation system that is secure against WebShell - one of the web hacking methods - is analyzed, as well as how to appropriately deal with this type of an attack.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2015.05a
• /
• pp.903-906
• /
• 2015

Over the recent industry -wide virtual world and the real world, broadcasting and telecommunications, IT technology and traditional industries, such as the fusion research has been conducted in a variety of fields. And training in the field of education is changing the paradigm of creativity to break the intrusive training center. In addition, the quality of interactive educational content technology to foster self-directed future talent is a situation that is required. The market has already surpassed the smartphone PC, smart devices and e-learning technologies are appearing new service called 'smart learning' as a new form of convergence of the educational system. In this paper, based on the direct development of a content authoring applications and Web sites, and cloud environments to the students collect and analyze patterns. Utilizing this information, we studied the curation service plans that recommend the appropriate content to fit the tastes of the learner.

• Journal of Digital Convergence
• /
• v.19 no.4
• /
• pp.217-225
• /
• 2021

This study aimed to provide implications required to establish a content strategy by examining the influencing factors affecting the acceptance of curation services for 320 OTT users, and the main results are as follows. First, innovativeness was found to have a positive effect on performance expectations. Second, innovativeness was found to have a positive impact on the effort expectation. Third, performance expectation had a positive effect on the intention to use continuously. Fourth, it was shown that the effort expectation had a positive effect on the intention to use continuously. Fifth, social influence was found to have no significant effect on the intention to use continuously. Sixth, it was found that the facilitating conditions did not significantly affect the intention to use continuously. The above results can be assessed as the higher the OTT users perceive the performance and effort expectations of the curation service, the higher their intention to continue using them. This study is meaningful in that it verified the factors affecting the intention to use the OTT curation service and expanded the UTAUT model.

• International Journal of Knowledge Content Development & Technology
• /
• v.14 no.3
• /
• pp.93-113
• /
• 2024

This study was conducted for the purpose of deriving the existing ScienceON elements and reorganizing them to increase user convenience and utilization. Towards this end, implications were derived by analyzing the current status of the ScienceON's website, case studies and analysis of major similar institution websites, and user satisfaction surveys. Based on the derived contents, key terms were analyzed and redefined, the menu system was reorganized, and the menu names were redefined, and the menu system was reorganized to match the direction and identity of the redefined ScienceON. The study results based on such are as follows. First, the ScienceON's brand selection criteria and direction were based on service sustainability, service inclusiveness, recognition of portal characteristics, user friendliness and intuitiveness. Considering the meaning of branding, branding strategy, and selection criteria for ScienceON branding, ScienceON, Ontong ScienceON, ScienceONPlatform, science information portal, ScienceON, Mecca of science and technology information, and 5 brand names such as ScienceON were proposed. Second, to improve accessibility, usability, and satisfaction, it would be necessary to redefine current terms. Towards this end, it would be necessary to change the terminology of knowledge infrastructure search and to unify and organize the terminology. Third, in the current menu, the services provided as analysis services and curation services are organized in the beta service menu, and data such as papers, patents, reports, and trends are also serviced only through integrated search, and hence, each data type and service type classification must be improved.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2021.05a
• /
• pp.563-565
• /
• 2021

The most important feature of the recently increasing content providing service is that the amount of content increase over time is very large. Accordingly, the importance of user curation is increasing, and various techniques are used to implement it. In this paper, among the techniques for video recommendation, the analysis technique using voice data and subtitles and the video comparison technique based on keyframe extraction are compared with the results of implementing and applying the video content of real big data. In addition, through the comparison result, a video content environment to which each analysis technique can be applied is proposed.

• Journal of the Korea Convergence Society
• /
• v.13 no.1
• /
• pp.31-42
• /
• 2022

The purpose of this study is to analyze the reference data of the National R&D Report database built by the Korea Institute of Science and Technology Information(KISTI) to derive problems and to find complementary points for the construction technical items in the system. To this end, we investigated the descriptions of references in the National R&D Report constructed in the KISTI DB and analyzed the construction process, guidelines, types, items, etc. Based on this, the appropriateness and accuracy of the classification results of the reference types constructed with the DB were checked. As a result, the problems of the items built into the system and corrections to the construction guidelines were derived. Through this, database construction can proceed efficiently and data quality is expected to improve. In addition, a follow-up study was proposed on the convergence service plan that can be provided in the future through standardization of technical regulations.