• Journal of the Korean Society for information Management
• /
• v.39 no.4
• /
• pp.347-373
• /
• 2022

In this study, in order to expand the access points of reading materials, a reading material classification (RMC) system based on the facets of book use was devised. The facets of books that can be considered by book users in the reading situation were content-analyzed. Also, through network analysis, subject headings adjacent to one subject heading were grouped into related subject headings. The RMC developed in this study can be used as a tool that provides various access points to help book users search in the library OPAC and other reading information systems.

• Journal of the Korean Society for Library and Information Science
• /
• v.58 no.2
• /
• pp.363-384
• /
• 2024

This study was conducted to examine the user's experiences with the public library in Daejeon using big data analysis, focusing on the text mining technique. To know this, first, the overall evaluation and perception of users about the public library in Daejeon were explored by collecting data on social media. Second, through analysis using online news articles, the pending issues that are being discussed socially were identified. As a result of the analysis, the proportion of users with children was first high. Next, it was found that topics through LDA analysis appeared in four categories: 'cultural event/program', 'data use', 'physical environment and facilities', and 'library service'. Finally, it was confirmed that keywords for the additional construction of libraries and complex cultural spaces and the establishment of a library cooperation system appeared at the core in the news article data. Based on this, it was proposed to build a library in consideration of regional balance and to create a social parenting community network through business agreements with childcare and childcare institutions. This will contribute to identifying the policy and social trends of public libraries in Daejeon and implementing data-based public library operations that reflect local community demands.

• Journal of the Korean Society for Library and Information Science
• /
• v.44 no.4
• /
• pp.435-456
• /
• 2010

This research compares and analyzes the legal deposit of national online electronic publishing and related laws that were recently amended in order to preserve the exponentially increasing number of electronic books(e-books). Based on the analysis, it also seeks ways to initiate a legal deposit system of e-books in South Korea. The research, therefore, defines the exact range and types of e-books. This research proposes three conditions to introduce the legal deposit system in order to preserve South Korean e-books. The first is to establish a clear definition and classification of e-books as data subject to legal deposit for preservation purposes. The second condition is to establish a legal system in order to deposit and collect network(online-exclusive) type e-books. The final condition is to reflect the opinion of publishers and to create security measures against any loss of the companies.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.17 no.1
• /
• pp.99-113
• /
• 2006

As society has more interest in reading activities, it has become possible to secure social value of libraries through the promotion of reading. In this regard, the study aimed to analyze social tasks that the libraries face and suggest concrete methods through bibliographical examination. Currently, various regions of the nation have an increasing interest in libraries, particularly, children's libraries. The public libraries can expand their social roles by meeting these social requests. As a variety of activities by the public libraries to promote reading have helped people recognize the importance of libraries, more aggressive reading promotion activities are considered to help expand the roles of the public libraries and secure social base. Accordingly, the libraries need to take the initiative in implementing various measures by establishing a committee to adjust various reading promotion activities in the government and the public and private sectors, coming up with legal base, pursuing development of voluntary reading promotion programs, establishing an information network for reading and books, publishing book reviews, leading campaign for reading and reading promotion activities, supporting reading at home and expanding award system with regard to the promotion of reading.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2009.05a
• /
• pp.63-67
• /
• 2009

In RFID system, Tag's Identification data is processed in host computer by application program. Example of application program is parking administration program, library state program etc.. Tag's ID that is recognized in reader is inputted to the Host computer. Application program of computer searches data in DB of computer such as Tag ID. After finding the same ID, host computer send to control command to driver H/W in accordance with application purpose. But, It need to confirm in long distance whether achievement process is acted normally. There will be the 2 methods, when we monitors the process in long distance. One is wired monitoring system, another is wireless monitoring system. Among wire method, internet communication network is useful. RFID system manufacture first in this treatise. RFID system Embody using EM4095 chip that is doing 125KHz by carrier wave. Tag's characteristic ID is sent in remote place through module that use W3100A chip. This system Manufacture, and data send-receive confirmed using simple application program. Reception confirm by result, and pictures show by whole system and each part. And a control program explained of each part.

• Journal of the Korean Society for Library and Information Science
• /
• v.36 no.4
• /
• pp.175-205
• /
• 2002

Information visualization in information retrieval is a creating tool that enables us to observe, manipulate, search, navigate, explore, filter, discover, understand, interact with large volumes of data for more rapidly and far more effectively to discover hidden patterns. The focus of this study is to investigate and analyze information visualization techniques in information retrieval system in the three-schematic levels. In result, it was found that first, scientific data, documents, and retrieval result information are visualized through various techniques. Second, information visualization techniques which facilitate navigation and interaction are zoom and pan, focus+context techniques, incremental exploration, and clustering. Third, the visual metaphors used by the visualization systems are presented in the linear structure, hierarchy structure, network structure, and vector scatter structure.

• Journal of Intelligence and Information Systems
• /
• v.19 no.3
• /
• pp.141-156
• /
• 2013

Social media is a representative form of the Web 2.0 that shapes the change of a user's information behavior by allowing users to produce their own contents without any expert skills. In particular, as a new communication medium, it has a profound impact on the social change by enabling users to communicate with the masses and acquaintances their opinions and thoughts. Social media data plays a significant role in an emerging Big Data arena. A variety of research areas such as social network analysis, opinion mining, and so on, therefore, have paid attention to discover meaningful information from vast amounts of data buried in social media. Social media has recently become main foci to the field of Information Retrieval and Text Mining because not only it produces massive unstructured textual data in real-time but also it serves as an influential channel for opinion leading. But most of the previous studies have adopted broad-brush and limited approaches. These approaches have made it difficult to find and analyze new information. To overcome these limitations, we developed a real-time Twitter trend mining system to capture the trend in real-time processing big stream datasets of Twitter. The system offers the functions of term co-occurrence retrieval, visualization of Twitter users by query, similarity calculation between two users, topic modeling to keep track of changes of topical trend, and mention-based user network analysis. In addition, we conducted a case study on the 2012 Korean presidential election. We collected 1,737,969 tweets which contain candidates' name and election on Twitter in Korea (http://www.twitter.com/) for one month in 2012 (October 1 to October 31). The case study shows that the system provides useful information and detects the trend of society effectively. The system also retrieves the list of terms co-occurred by given query terms. We compare the results of term co-occurrence retrieval by giving influential candidates' name, 'Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn' as query terms. General terms which are related to presidential election such as 'Presidential Election', 'Proclamation in Support', Public opinion poll' appear frequently. Also the results show specific terms that differentiate each candidate's feature such as 'Park Jung Hee' and 'Yuk Young Su' from the query 'Guen Hae Park', 'a single candidacy agreement' and 'Time of voting extension' from the query 'Jae In Moon' and 'a single candidacy agreement' and 'down contract' from the query 'Chul Su Ahn'. Our system not only extracts 10 topics along with related terms but also shows topics' dynamic changes over time by employing the multinomial Latent Dirichlet Allocation technique. Each topic can show one of two types of patterns-Rising tendency and Falling tendencydepending on the change of the probability distribution. To determine the relationship between topic trends in Twitter and social issues in the real world, we compare topic trends with related news articles. We are able to identify that Twitter can track the issue faster than the other media, newspapers. The user network in Twitter is different from those of other social media because of distinctive characteristics of making relationships in Twitter. Twitter users can make their relationships by exchanging mentions. We visualize and analyze mention based networks of 136,754 users. We put three candidates' name as query terms-Geun Hae Park', 'Jae In Moon', and 'Chul Su Ahn'. The results show that Twitter users mention all candidates' name regardless of their political tendencies. This case study discloses that Twitter could be an effective tool to detect and predict dynamic changes of social issues, and mention-based user networks could show different aspects of user behavior as a unique network that is uniquely found in Twitter.

• KIISE Transactions on Computing Practices
• /
• v.23 no.7
• /
• pp.440-445
• /
• 2017

Due to the advance of e-commerce systems, the number of people using online shopping and products has significantly increased. Therefore, the need for an accurate recommendation system is becoming increasingly more important. Recurrent neural network is a deep-learning algorithm that utilizes sequential information in training. In this paper, an evaluation is performed on the application of recurrent neural networks to recommendation systems. We evaluated three recurrent algorithms (RNN, LSTM and GRU) and three optimal algorithms(Adagrad, RMSProp and Adam) which are commonly used. In the experiments, we used the TensorFlow open source library produced by Google and e-commerce session data from RecSys Challenge 2015. The results using the optimal hyperparameters found in this study are compared with those of RecSys Challenge 2015 participants.

• Journal of the Korean Society for Library and Information Science
• /
• v.31 no.3
• /
• pp.53-73
• /
• 1997

To find out the status of document delivery and interlibrary loan services and the use of information technology in special libraries, questionnaires were sent to 328 special Libraries nation wide with at least 1 librarian, listed In the Korean Libraries Statistics 1994-1995(1996). $46.6\%$ were returned and 152 Questionnaires were analyzed. For document delivery, $61.3\%$ use BLDSC$47.5\%$ use KINITI. 87 libararies $(57.2\%)$ participate In interlibrary loan activities. To send requests, FAX and telephone is used the most, while FAX and print copy is used the most to receive the requested documents. $45-75\%$ use various information technology including online databases, Internet, e-mail, etc., and the use of information technology was related to the budget of the libraries. The costs, budgets, and slowness was the problems raised by the most. To improve the document delivery services, the most urgent thing is establishing cooperative system using BBS or Internet. Network systems to facilitate interlibrary loan should be established ultimately.

• Journal of the Korean Society for information Management
• /
• v.33 no.1
• /
• pp.7-32
• /
• 2016

This study has measured interdisciplinarity using a topic modeling, which automatically extracts sub-topics based on term information appeared in documents group unlike the traditional top-down approach employing the references and classification system as a basis. We used titles and abstracts of the articles published in top 20 journals for the past five years by the 5-year impact factor under the category of 'Information & Library Science' in JCR 2013. We applied 'Discipline Diversity' and 'Network Coherence' as factors in measuring interdisciplinarity; 'Shannon Entropy Index' and 'Stirling Diversity Index' were used as indices to gauge diversity of fields while topic network's average path length was employed as an index representing network cohesion. After classifying the types of interdisciplinarity with the diversity and cohesion indices produced, we compared the topic networks of journals that represent each type. As a result, we found that the text-based diversity index showed different ranking when compared to the reference-based diversity index. This signifies that those two indices can be utilized complimentarily. It was also confirmed that the characteristics and interconnectedness of the sub-topics dealt with in each journal can be intuitively understood through the topic networks classified by considering both the diversity and cohesion. In conclusion, the topic modeling-based measurement of interdisciplinarity that this study proposed was confirmed to be applicable serving multiple roles in showing the interdisciplinarity of the journals.