• The Journal of Information Systems
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• v.31 no.3
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• pp.1-18
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• 2022

Purpose The purpose of this study is to analize a psychological and behavioral mechanism for using profile picture management in digital service such as social network service. Profile picture management falls under metadata management and is performed only by those who want it. This means that it, is one of the typical makeup-type digital shadow works (DSWs) which have not been studied yet. Design/methodology/approach This study adopts ground theory method(GTM) as research methodology. GTM, which is one of qualitative methodologies, is for developing theories while most survey based methodologies, which are well adopted in much research for information systems, are for validation of theories. By interviewing ten users, the data are collected and analyzed by open coding, axis coding with paradigm model, and selective coding. Findings In result, 39 codes are found and classified into 29 sub classes and 15 classes. These 15 classes are organized by paradigm model which derives core code of profile picture management as 'voluntary management tasks to experience small pleasures with intermittent attention'. Finally, based on the paradigm model and the core code, the story line, which can explain profile picture management, is suggested.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.04a
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• pp.1371-1374
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• 2011

MDA(Model Driven Architecture)는 추상적인 모델 계층을 사용하기 때문에 다양한 플랫폼에 적용가능하고, 각 모델 계층과 코드 생성의 자동화를 통해 개발의 효율성을 극대화한다. 본 연구에서는 XML 형태로 저장된 설계정보를 분석하여 MDA 기반 컴포넌트 설계 정보를 관리하는 도구를 개발하였다. 이 도구는 UML로 작성된 설계모델를 XMI(XML Metadata Interchage) 형태로 저장하여 각종 설계도구에서 Java, C++과 같은 언어에 대한 실제 프로그램 골격코드가 자동으로 생성되도록 하였다. 역으로 골격코드를 기반으로 구현된 콤포넌트의 원시코드를 수집하여 다시 컴포넌트 설계모델 정보를 추출하는 기능을 구현하였고, 이를 다시 시각적 정보로 재구성 하였다. 이러한 기능들은 기존의 단방향적 개발 구조 방식에서 벗어나 이미 개발되거나 개발 중인 프로그램에 대한 분석 및 평가 등을 통해서 재사용성을 높여주는 순환적인 개발 구조 방식을 제공한다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.147-149
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• 2021

Recently, the rapid growth of the media market and the expectations of users have been increasing. In this research, tags are extracted through media-derived audio and classified into specific categories using artificial intelligence. This category is a type of emotion including joy, anger, sadness, love, hatred, desire, etc. We use JupyterNotebook to conduct the corresponding study, analyze voice data using the LiBROSA library within JupyterNotebook, and use Neural Network using keras and layer models.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.1
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• pp.75-110
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• 2024

The study was meant to examine electronic theses and dissertations' development in Nigerian federal university libraries. The study adopted descriptive survey research design. The study population comprised forty-eight institutional repository librarians in eighteen Nigerian federal university libraries. The sample consisted of forty three librarians. A questionnaire was used for data collection. The data collected were analyzed with mean and standard deviation. Findings reveal that the policies available for developing electronic theses and dissertations (ETDs) in the libraries require submission of electronic copies of theses and dissertations by students, participation of digital/IR librarians in ETD development and provision of free access to ETDs; the libraries comply with standards of Open Archives Initiative Protocol for Metadata Harvesting and Search/Retrieval via URL using DSpace for building ETDs and taking advantage of such available ICT facilities as computers, scanners, CD-ROM, LAN, internet connectivity and printer. The libraries achieve ETD through digitisation, mandating submission of electronic versions of TDs by students and creation of IR. However, the process is hindered by technological obsolescence, financial problems, absence of clearly-defined ETD development policy, required ICT facilities and trained staff, copyright, irregular power supply and unstable internet connectivity. This study represents a fresh empirical investigation into electronic theses and dissertations' development in federal university libraries in Nigeria.

• International Journal of Knowledge Content Development & Technology
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• v.14 no.4
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• pp.101-111
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• 2024

Multilingual Knowledge Graphs (MKGs) have emerged as a crucial component in various natural language processing tasks, enabling efficient representation and utilization of structured knowledge across multiple languages. One can get data, information, and knowledge from various sectors, like libraries, archives, institutional repositories, etc. Variable quality of metadata, multilingualism, and semantic diversity make it a challenge to create a digital library and multilingual search facility. To accept these challenges, there is a need to design a framework to integrate various structured and unstructured data sources for integration, unification, and sharing databases. These are controlled using linked data and semantic web approaches. In future, multilingual knowledge graph overcomes all the linguistic nuances, technical barriers like semantic interoperability, data harmonization etc and enhance cooperation and collaboration throughout the world. Through a comprehensive analysis of the current state-of-the-art techniques and ongoing research efforts, this paper aims to offer insights into the future directions and potential advancements in the field of Multilingual Knowledge Graphs. This paper deals with a multilingual knowledge graph and how to build up a multilingual knowledge graph. It also focuses on the various challenges and opportunities for designing multilingual knowledge graphs.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.4
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• pp.183-204
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• 2018

The main purpose of this study was to investigate the research topics of the Journal of Korean Society of Archives and Records Management, which is one of the main academic journals of archival research in Korea. To achieve this objective, a total of 875 author-assigned Korean keywords were collected from the 390 papers published from the first issue (i.e., 2001) to the current issue (i.e., 2017) in the target journal. The collected keywords were analyzed using NetMiner V.4 to discover their frequency, degree centrality, and betweenness centrality. Results showed that "Archival Information Services," "Electronic Records," "Historical Archives," "Archivists," and "National Archives of Korea" showed the most frequently conducted research topics; whereas "Archival Information Services," "Electronic Records," "Evaluation," "Locality Archives," and "Retrieval System" were the most influencing research topics. On the other hand, "Archival Information Services," "Archivists," "Electronic Records," "Archive," and "Metadata" showed the most widely intervening research topics in this research.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.351-373
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• 2023

This study aimed to analyze and collect research trends of archival management standards in Korea. For this purpose, keywords from the titles, author keywords, and abstracts of papers related to records management standards were statistically analyzed to investigate the major keywords with high-frequency. Network analysis with high frequency keywords was also conducted to identify the subject areas of research in archival management standards. The analysis period is from 2000 to the present, and a total of 212 papers were collected from domestic academic paper search sites such as RISS and ScienceON. As a result of the analysis, from 2000 to 2010, OAIS for archive design, digital record preservation with OAIS, and analysis on ISO standards were mainly conducted in research areas. From 2011 until now, records management certification and ISAD(G)'s conversion to RiC emerged as new research areas. This study will be expected to be basic data to understand research trends in records management standards in Korea and to be a reference for research on records management standards studies.

• Journal of Information Management
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• v.42 no.4
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• pp.39-58
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• 2011

This paper presents a meta-tag expanded from scholarly service types of OpenURL written in Key/Encoded-Value format, after analyzing new scholarly service types and DataCite metadata elements which are for research data publishing and services. So far, OpenURL Z39.88 standard, KEVFormat: Sch-Svc, supporting six scholarly service type only, the expansion of this standard is needed for a research data circulation. New eight scholarly service types were extracted, after analyzing and comparing with the Scopus, Web of Science, and NDSL services. And nine representative attributes were extracted, after analyzing intensively the DataCite's elements.

• Journal of Information Science Theory and Practice
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• v.7 no.3
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• pp.52-64
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• 2019

This research was aimed at studying the situation, problems, and requirements for digital collection lifecycle management of Thai theses and dissertations. The mixed research method used was composed of: (1) Study of the problem and situation in which the qualitative method was applied. The research site covered 10 higher education institutions where the Thailand Digital Collection (TDC) project is operated. The informants were key administrative officers of the TDC project of each institution. In-depth and structured interviews were conducted on an individual basis to obtain the most accurate answers. (2) Study of requirements based on the quantitative research method to survey the requirements for the digital collection management system for Thai theses and dissertations from 84 purposively-selected TDC project officers and 527 end users selected by accidental sampling, totaling 611 samples. Research findings are as follow: (1) The study of the situation and problems of digital collection lifecycle management shows that Thai higher institutions systematically manage their digital collection. The management lifecycle is consistent with the Guidance documents for lifecycle management of ETDs, which included seven steps: program planning, creation, submission, and ingestion, access and retrieval of digital objects, archiving and preservation, evaluation and assessment, interoperation (creation of institutional collaboration), and development of link data. (2) The study of requirements for digital collection management of Thai theses and dissertations shows five system requirements: acquisition and gathering, digitization, metadata standards, management of rights, and storage and retrieval, all of which are at M (mandatory) and D (desirable) levels.

• International journal of advanced smart convergence
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• v.12 no.4
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• pp.98-103
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• 2023

As technology advanced dramatically in the late 20th century, a new era of science arrived. The emerging era of scientific discovery, variously described as e-Science, cyberscience, and the fourth paradigm, uses technologies required for computation, data curation, analysis, and visualization. The emergence of the fourth research paradigm will have such a huge impact that it will shake the foundations of science, and will also have a huge impact on the role of data-information infrastructure. In the digital age, the roles of data-information professionals are becoming more diverse. As eScience emerges as a sustainable and growing part of research, data-information professionals and centeres are exploring new roles to address the issues that arise from new forms of research. The functions that data-information professionals and centeres can fundamentally provide in the e-Science area are data curation, preservation, access, and metadata. Basically, it involves discovering and using available technical infrastructure and tools, finding relevant data, establishing a data management plan, and developing tools to support research. A further advanced service is archiving and curating relevant data for long-term preservation and integration of datasets and providing curating and data management services as part of a data management plan. Adaptation and change to the new information environment of the 21st century require strong and future-responsive leadership. There is a strong need to effectively respond to future challenges by exploring the role and function of data-information professionals in the future environment. Understanding what types of data-information professionals and skills will be needed in the future is essential to developing the talent that will lead the transformation. The new values and roles of data-information professionals and centers for 21st century researchers in STEAM are discussed.