• Journal of the Korean Society for Library and Information Science
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• v.42 no.2
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• pp.29-49
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• 2008

Library 2.0 stands for the term which suggests the changes in library's services. Library 2.0, the term, was first appeared in 2005 and have studied as a meaningful model for library services. The majority was related to the definition of basic concepts, overview of best practices, and case study for individual implementation. There are three goals of this study which is distinguished from other library 2.0 studies. First, I have surveyed various types of services and classified into three groups. Second, I have examined the properties viewed in this light of content, user, and manager. Third, I have propose a new conceptual model of a information ecosystem which thinks the library 2.0 collectively.

• Journal of Korean Society of Archives and Records Management
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• v.20 no.4
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• pp.129-146
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• 2020

This study aims to investigate the outcomes and limitations of research studies on records and archives organization published in Korea. In particular, it will serve as an in-depth examination of the contribution of this area of research to the improvements and changes in the country's records management field. To this end, 150 journal articles related to the records and archives organization were gathered. After extracting refined keywords from the titles and author-assigned keywords, terminology analysis and contents analysis were conducted. On the one hand, terminology analysis (frequency and network analysis) identified frequently discussed topics and the relationships between them. On the other hand, through content analysis, the study revealed the detailed contents regarding the two main topics and their meanings.

• Journal of the Korea Convergence Society
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• v.9 no.9
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• pp.9-14
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• 2018

This study aims to investigate an importance of Author keyword with analysis the position of author keyword. An analysis was carried out on the position of author keyword. we examined an importance of Author keyword by using degree centrality, closeness centrality, betweenness centrality, eigenvector centrality. In the next stage, we performed analysis on correlation between network centrality measures and the position of keyword. As a result, degree centrality, closeness centrality, betweenness centrality, eigenvector centrality both has a high value in 4th author keyword order. eigenvector centrality was the comparatively effective method to separate of author keyword order method than other 3 centrality. Correlation analysis result shows that the network analysis value are increasing in order. This study has significance in that it was able to examine the author keyword behavior. Future research is needed to identify and supplement future situational factors, behavior, and psychology.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.2
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• pp.334-344
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• 2009

The EPCglobal Network is a system which provides the information of items to suppliers, consumers, and customers by granting identification numbers on the goods based on the technologies of EPC(Electronic Product Code) and RFID(Radio Frequency Identification), and connecting the space to store those information by network. The EPCglobal architecture framework is also a service consolidating supply and process chain by using EPC for the common goal of business corporations. In the national level, it is necessary to define standard vocabularies for each location and logistics business process for RFID environment using the pre-constructed logistics information infrastructure. Therefore, we define the standard vocabularies and partially user vocabularies for international logistics on EPCglobal network architecture. Finally, we believe that our vocabularies contribute to describing the events fur the EPCglobal network architecture and actually providing usable platform via the XML implementation.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.2
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• pp.235-248
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• 2011

In this study, co-word occurrence analysis was performed on 288 articles rerieved from the Web of Science DB with the topic of web archiving. Results showed that research on image archiving information technology and system were most frequently carried out especially in medical area. Within library and information science and records management & archives areas, web archiving/digital preservation project subject and web archiving tools and methodology subject were studied mostly. It is expected that research related to web archiving software and tools will be increased in near future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.202-204
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• 2021

The Internet of Things (IoT) is a term first used by Kevin Ashton, director of MIT's Auto ID Center, in 1999, and refers to the connection of things to the Internet. Bluetooth, one of the wireless networks, is a technology developed as an industry standard for personal short-range wireless communication first developed by Ericsson in 1994. Since the Raspberry Pi has Bluetooth built-in, a wireless network is possible. This paper implements a module for the Internet of Things by implementing serial communication in the Bluetooth built-in Raspberry Pi 3 B+. There was a problem that Bluetooth communication was impossible between raspberries, so the discovery function was activated and serial communication was added to successfully link the communication.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.279-306
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• 2023

This study analyzed bibliographic attributes related to the selection and use of reading materials based on data on books borrowed or purchased together in order to understand the properties of reading materials that have complex user needs from various perspectives. As a result of creating co-occurrence matrices of bibliographic attribute terms by dividing them into 26 sub-attribute units related to KDC main class, target reader, and user age, and performing network analyses, the details and prominent mediating role of bibliographic attributes of reading materials were identified. The results of this study will be helpful in designing facets of reading information systems, including library OPAC, in the future.

• Smart Media Journal
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• v.12 no.11
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• pp.185-197
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• 2023

This study was conducted using text mining and network theory to extract useful information for application for occupancy and performance of permit tasks contained in the permit contents from the permit register, which is used only for the simple purpose of recording occupancy permit information. Based on text mining, we analyzed and compared the frequency of vocabulary occurrence and topic modeling in five regions, including Seoul, Gyeonggi, Gyeongsang, Jeolla, Chungcheong, and Gangwon, as well as normalization processes such as stopword removal and morpheme analysis. By applying four types of centrality algorithms, including stage, proximity, mediation, and eigenvector, which are widely used in network theory, we looked at keywords that are in a central position or act as an intermediary in the network. Through a comprehensive analysis of vocabulary appearance frequency, topic modeling, and network centrality, it was found that the 'installation' keyword was the most influential in all regions. This is believed to be the result of the Ministry of Environment's permit management office issuing many permits for constructing facilities or installing structures. In addition, it was found that keywords related to road facilities, flood control facilities, underground facilities, power/communication facilities, sports/park facilities, etc. were at a central position or played a role as an intermediary in topic modeling and networks. Most of the keywords appeared to have a Zipf's law statistical distribution with low frequency of occurrence and low distribution ratio.

• Proceedings of The KACE
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• 2017.08a
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• pp.41-45
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• 2017

본 논문에서는 컨볼루션 신경망 네트워크(CNN:Convolution Neural Network)을 기반으로 단어의 의미와 순서를 고려하는 문서 색인 방법을 이용하여 한글 문서 분류 방법을 제안한다. 먼저 문서를 형태소 분석하여 어절 단위로 분리 한 후, 불용어를 처리 하고, 문서의 단어 의미를 고려하는 문서 표현하고, 문서의 단어 순서까지 고려하여 CNN의 입력으로 사용하였다. 실험결과 CNN 분류기를 기반으로 본 논문에서 제안하는 문서 색인 방법은 TF-IDF를 이용하는 방법보다 4.2%, Word2vec만 단독으로 사용하는 것보다 1.4%의 성능 상승을 이루었다. 이러한 결과를 통해 본 논문에서 제안하는 방법이 문서범주화 데이터 셋에서 문서 분류 성능향상에 영향을 미친다는 것을 확인하였다.

• Proceedings of the Safety Management and Science Conference
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• 2000.05a
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• pp.61-69
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• 2000

인터넷이 글로벌 네트워크로써 자리를 잡으면서 전자상거래와 관련된 많은 용어를 낳고 있으며 그 중에서도 가장 많이 회자되고 있는 단어는 사이버 쇼핑몰일 것이다. 이러한 상황 속에서 시간과 공간의 제약을 받지 않는다는 사이버 쇼핑몰의 특성은 소비자와 상인 모두에게 가장 큰 매력으로 다가왔고, 촌각을 다투며 생겨나는 수많은 쇼핑몰들 속에서 경쟁력을 가질 수 있는 부분은 쇼핑몰의 구축과 운영의 방법이라는 점에 공감을 하고 있다. 본 연구에서는 쇼핑몰을 자동으로 생성해주는 상점입점마법사를 구축하고 기존의 상점입점마법사들이 안고 있던 문제점을 해결하기 위한 7가지의 추가기능을 제시하고 있다. 상점입점마법사는 세 단계로 구성되고 각 단계는 복수개의 스텝으로 이루어져 있으며 각각의 스텝은 독립 모듈의 형태를 취함으로써 이를 통해 구축되는 쇼핑몰들의 차별성이 최대화 될 수 있도록 고려하였다. 추가기능은 상품 카테고리 생성, 관련 상품, 가격 비교, 인기 상품, 상점 홍보, 대체 상품, 마일리지 제도로 구성되며 이를 통해 상점입점마법사를 이용하여 구축된 쇼핑몰에서는 적용이 어렵다는 문제점에 대한 해법을 제시하고 더 나아가 SuperMall에 적용을 시킴으로써 기존의 Mall & Malls보다 경쟁력을 가질 것으로 기대할 수 있다.