• Journal of Korean Library and Information Science Society
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• v.45 no.2
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• pp.261-281
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• 2014

In light of the recent advancement in networking and information technology, the direct information request through website has increasingly proven to be the preferred means over visiting physical archives. Thus, the proper utilization of a communication tool capable of sufficiently capturing user feedback and requests is an absolute necessity. This paper examines the availability and utilization of alternative user participatory communication tools in government websites with particular focus on the archives in South Korea, the United States, the United Kingdom, Canada, China, and Japan. In assessing the use of alternative user participatory communication tools in these archives, we examined the availability of communication mediums other than the online forums, email, and telephone with particular focus on social media tools that may offer a degree of familiarity for the user. Our research indicates that the most frequently utilized social media tool is Facebook while the archive offering the greatest variety of alternative user participatory communication tools was the United States archive.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.398-398
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• 2022

최근 수돗물 공급과정에 있어 적수, 유충 발생 등 지역 단위의 수질문제로 국민의 직간접적인 피해가 발생된 바 있다. 수질문제 발생 시, 소셜네트워크서비스(SNS)에 게시되는 피해 관련 의견은 시공간적으로 빠르게 확산되며, 궁극적으로는 물공급과정 전체의 부정적 인식증가와 신뢰도 저하를 초래한다. 따라서, 물공급시스템에서의 수질사고 발생을 빠르게 인지하는 다양한 방법론의 적용을 통한 피해 최소화를 위한 노력이 반드시 필요하다. 일반적으로 수질사고는 다양한 항목의 실시간 계측기에서 획득되는 시계열자료의 변화양상을 통해 판단할 수 있으나, 이와 같은 방법론의 효율적 적용을 위해서는 선진계측인프라의 도입이 선행되어야 한다. 본 연구에서는 국내의 발달된 정보통신기술환경을 활용하여, 물공급네트워크 내 수질사고인지를 위한 SNS 별 웹크롤링 방법론을 제안하고, 적용결과를 분석하였다. 방법론의 구현에 앞서, 각종 SNS 별(트위터, 인스타그램, 블로그, 네이버 카페 등) 프로그래밍을 통한 웹크롤링 가능여부, 정보획득 기간 등을 확인하였으며, 과거 유사 수질사고 발생 시 영향력과 관련 게시글이 크게 나타난 네이버 카페와 트위터를 중심으로 웹 크롤링 절차를 제시하였다. 네이버 카페의 경우 대상급수구역 내의 시민들이 다수 참여하는 카페를 목록화하고, 지자체명과 핵심 키워드(수돗물, 유충, 적수) 조합을 활용한 웹크롤링을 수행하여, 관련 게시물 건수와 의미를 실시간으로 분석하는 절차를 마련하였다. 개발된 SNS 별 웹크롤링 방법론에 따라 과거 수질사고가 발생된 바 있는 2개 이상의 지자체에 대한 분석을 실시하였으며, SNS 별 결과에 있어 차이점을 확인하여 제시하였다. 향후 제안된 방법을 적용하여 시공간적 수질사고 정보의 전파 및 확산양상을 추가적으로 분석할수 있을 것으로 기대된다.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.91-101
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• 2011

The purpose of this paper is to quickly identify school parents, teachers, students, community needs and opinions for curriculum organizing and the implementation of an online survey system for operating educational activities. Online survey system should be implemented based on Limesurvey to reduce costs and administrative costs. Limesurvery is available without the development of the separate program and offers the form of web-based template system, complete design, layout. Also, Limesurvey offers basic statistical analysis of survey data. Limesurvey can be executed by installing the program on a web hosting, typing database information. Limesurvey can be made a graph of the statistical results. Besides, Limesurvery can be stored in the form of HTML, Word, Excel, CSV Files and can be stured as basic datas for SPSS or PASW, R data, other statistical processing programs. If we could be operate Limesurvey in the form of open source-based survey program in elementary school, we could be reduced teacher's unnecessary work for statistics and overcame the problem of offline survey system.

• Journal of Intelligence and Information Systems
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• v.22 no.1
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• pp.187-204
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• 2016

Document classification based on emotional polarity has become a welcomed emerging task owing to the great explosion of data on the Web. In the big data age, there are too many information sources to refer to when making decisions. For example, when considering travel to a city, a person may search reviews from a search engine such as Google or social networking services (SNSs) such as blogs, Twitter, and Facebook. The emotional polarity of positive and negative reviews helps a user decide on whether or not to make a trip. Sentiment analysis of customer reviews has become an important research topic as datamining technology is widely accepted for text mining of the Web. Sentiment analysis has been used to classify documents through machine learning techniques, such as the decision tree, neural networks, and support vector machines (SVMs). is used to determine the attitude, position, and sensibility of people who write articles about various topics that are published on the Web. Regardless of the polarity of customer reviews, emotional reviews are very helpful materials for analyzing the opinions of customers through their reviews. Sentiment analysis helps with understanding what customers really want instantly through the help of automated text mining techniques. Sensitivity analysis utilizes text mining techniques on text on the Web to extract subjective information in the text for text analysis. Sensitivity analysis is utilized to determine the attitudes or positions of the person who wrote the article and presented their opinion about a particular topic. In this study, we developed a model that selects a hot topic from user posts at China's online stock forum by using the k-means algorithm and self-organizing map (SOM). In addition, we developed a detecting model to predict a hot topic by using machine learning techniques such as logit, the decision tree, and SVM. We employed sensitivity analysis to develop our model for the selection and detection of hot topics from China's online stock forum. The sensitivity analysis calculates a sentimental value from a document based on contrast and classification according to the polarity sentimental dictionary (positive or negative). The online stock forum was an attractive site because of its information about stock investment. Users post numerous texts about stock movement by analyzing the market according to government policy announcements, market reports, reports from research institutes on the economy, and even rumors. We divided the online forum's topics into 21 categories to utilize sentiment analysis. One hundred forty-four topics were selected among 21 categories at online forums about stock. The posts were crawled to build a positive and negative text database. We ultimately obtained 21,141 posts on 88 topics by preprocessing the text from March 2013 to February 2015. The interest index was defined to select the hot topics, and the k-means algorithm and SOM presented equivalent results with this data. We developed a decision tree model to detect hot topics with three algorithms: CHAID, CART, and C4.5. The results of CHAID were subpar compared to the others. We also employed SVM to detect the hot topics from negative data. The SVM models were trained with the radial basis function (RBF) kernel function by a grid search to detect the hot topics. The detection of hot topics by using sentiment analysis provides the latest trends and hot topics in the stock forum for investors so that they no longer need to search the vast amounts of information on the Web. Our proposed model is also helpful to rapidly determine customers' signals or attitudes towards government policy and firms' products and services.

• Journal of the Korean Society for Library and Information Science
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• v.47 no.1
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• pp.399-417
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• 2013

The purposes of this study are to investigate students' attitudes regarding group projects and to suggest an effective way to promote collaborative learning using Wiki. This study employed a survey questionnaire, which was distributed to students enrolled in classes provided by a university in Seoul. The result revealed that students preferred individual projects to group projects because various barriers occur in the process of group projects. Students' responses also indicated that rapport among group members influences the success of a group project. In addition, Wiki, as a Web 2.0 tool for group collaboration, was recognized as being useful in terms of promoting openness, modification, and effectiveness. Based on these findings, this study suggests the following for effective collaborative learning: (1) conducting peer- and self-assessments to avoid social loafing, (2) establishing rapport among group members, and (3) using Wiki in an active manner.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1321-1329
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• 2009

Web technology has allowed the rise of services such as blogs or YouTube that make possible the sharing of opinions, perspectives, and experiences with other users through contents. Online services that promote such sharing of information and communication are known as social media. Recently, the explosive growth of these services displays the carry-over of the natural sociality that all humans possess as social creatures. This study took an exploratory approach in investigating what influential relationships are involved in forming new relationships through sharing and participation, as sharing and participation are core keywords of social media. In order to do this, relationship formations were observed in actual usage environments with the use of the diary study method and in-depth interviews. This study sought to deduce necessary elements in relationship formations and examine the influences of weak ties on participation and sharing.

• Journal of the Korea Society of Computer and Information
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• v.10 no.5 s.37
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• pp.343-352
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• 2005

The existing CAI or web-based science learning system of elementary school has some disadvantages. For instance, it is composed of uniform courses designed by an instructor without considering the learner's characters, and the learner's opinions or questions raised during learning can not be delivered to the system. This structure has diminished the willingness or the motive of the learner and make an adverse effect on the learning efficiency. In this regards, Instruction-Learning System is needed to provide learning environment Pertinent to the learner's individual character and motivate the learner's active attendance and learning. This study is to design a character-based conversational Instruction-Learning System. This may induce the learner's active attendance through the communications between instructor and learner and furnish various learning materials to motivate the learners and attract their consistent interests in learning.

• Journal of the Korea Society of Computer and Information
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• v.26 no.11
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• pp.129-137
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• 2021

Recently, local broadcast companies are experiencing financial shortages and business deterioration due to difficulties in securing income sources. This is due to the continuous decrease in viewership ratings as the contents of the broadcast companies do not attract the interest and participation of local residents. To resolve this issue, this paper presents a social network service closely coupled with local broadcasting. In the proposed service, the exposure range of articles is limited to a region so that reporters could easily find the interests of local residents. In addition, among the articles written by local residents, the articles requested to be broadcast by reporters are placed at the top section of the main page. From this UI configuration, local residents can easily recognize that their opinions can be directly connected to the broadcast, which is intended to activate their participation. The proposed service was implemented in the form of a prototype system with JCN, a broadcasting company in Ulsan, and this paper discusses its user interfaces, system structure, and an algorithm to estimate the priority of the written articles.

• Journal of Korean Society of Archives and Records Management
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• v.19 no.2
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• pp.193-211
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• 2019

With the increasing number of business email, there is a growing need to manage email records. Before the development of email records management measures, this study aimed to investigate the status of email records management in universities and determine employees' perceptions of email records management. Surveys and interviews were conducted with professors, staff, and assistants who use groupware accounts at D University, and their overall perceptions of email records management and the status of email record management, such as email production, deletion, archival, and backup of university members were gathered. A total of 185 people responded to the survey, and 12 of them were interviewed. According to the analysis, the public utilization of email was frequent, and the management of emails, such as backup and retention, was not performed well compared to deletion and storage. In addition, email is still perceived as private, and users recognize the need for email records management, but they still perceive that they are responsible for records management. The results of this study will be useful in setting the policy for email records management of universities and will help provide email record management awareness.

• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.163-187
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• 2014

The purpose of this study is to explain information usage behavior of researchers in the field of ocean science and technology. The study mainly collected primary data for advancement of special library services as well as establishment of personalized information services based on personal characteristics such as age, education level, and area of research. The data collection was conducted for two weeks during January 2014, through a web survey to 348 researchers in national ocean research institutions in South Korea. Total of 115 researchers replied. The analysis showed that the most preferred type of information medium was a scholarly journal. Researchers used more foreign published journals compared to Korean ones, while favoring digital formats rather than printed ones. The top channels for information collection were 'web search' and 'affiliated libraries.' Most pointed out difficulties of data collection were 'lack of variety of digital resources in affiliated libraries' and 'reluctance to use charged information.' Key elements for satisfactory user experience were ranked in the order of 'digital library system,' 'library staff,' and 'library collection' and so on;which proves the close relationship between library service and information usage service satisfaction. The result of an assessment for demands in special libraries showed that 'personalized information search service,' 'project support service,' and 'research direction analysis service' should be implemented in the future.