• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.29 no.2
• /
• pp.169-197
• /
• 2018

The research aims to analyze current university information disclosure services in the perspectives of both university records management and services and to recommend ways to improve the current university information disclosure systems and services. The research collects and analyzes various raw data such as laws, guidelines, and manuals of university information disclosure services and the portal site of 'Higher Education in Korea' also known as 'dae-hak-al-ri-mi', and data on each homepage of 40 cooperative universities selected as the research sample. At the result, the research found some limits in the current operation of university information disclosure services: first, the information posted on the university disclosure information system is mostly focused on administrative information rather than information related to research or education within universities. Second, there are the high rate of error and frequent modification in the information posted on the disclosure information system. Third, the menus on both the information disclosure system and homepages of each cooperative university are useless or contents of the menus are empty. The research suggests some solutions to improve these problems: it is required to make up the current legal systems for university information disclosure services and to cooperate all organizations and universities related to university information disclosure services within the united system and rule. Also, it is crucial to attach the metadata of the disclosed information when to post the information to the university disclosure information systems. Finally, it is necessary for each university to employ archivists not only to develop qualified university records to maintain the unique roles and value of universities but also to disclose reliable and authentic information to users and manage the university information disclosure systems effectively and efficiently.

• Journal of the Korean Dietetic Association
• /
• v.23 no.2
• /
• pp.192-201
• /
• 2017

This study compared the Center for Children's Foodservice Management in 2012, 2014, and 2016 using big data and opinion mining. The data on the Center for Children's Foodservice Management were collected from the portal site, Naver, from January 1 to December 31 in 2012, 2014, & 2016 and analyzed by keyword frequency analysis, influx route analysis of data, polarity analysis via opinion mining, and positive and negative keyword analysis by polarity analysis. The results showed that nursery had the highest rank every year and education supported by Center for Children's Foodservice Management has increased significantly. The influx of data has increased through the influx route analysis of data. Blog and $caf\acute{e}e$, which have a considerable amount of information by the mother should be helpful for use as public relations and participation recruitment paths. By polarity analysis using opinion mining, the positive image of the Center for Children's Foodservice Management was increased. Therefore, the Center for Children's Foodservice Management was well-suited to the purpose and the interests of the people has been increasing steadily. In the near future, the Center for Children's Foodservice Management is expected have good recognition if various programs to participate with family are developed and advertised.

• Journal of Korea Multimedia Society
• /
• v.21 no.5
• /
• pp.599-608
• /
• 2018

As natural disasters are increasing due to the unusual weather and the modern society is getting complicated, the rapid change of the urban environment has increased human disasters. Thus, citizens are becoming more anxious about social safety. The importance of preparation for safety has been suggested by providing the disaster safety services such as regional safety index, life safety map, and disaster safety portal application. In this paper, we propose an application framework to predict the urban safety index based on user's location with realtime weather/atmosphere data after creating a predication model based on the machine learning using number of occurrence cases and weather/atmosphere history data. Also, we implement an application to provide traffic safety index with executing preprocessing occurrence cases of traffic and weather/atmosphere data. The existing regional safety index, which is displayed on the Si-gun-gu area, has been mainly utilized to establish safety plans for districts vulnerable to national policies on safety. The proposed system has an advantage to service useful information to citizens by providing urban safety index based on location of interests and current position with realtime related data.

• Journal of Information Technology Services
• /
• v.15 no.3
• /
• pp.97-114
• /
• 2016

One of the key success factors for the intelligent IT service which is characterized by personalization and automation, is to obtain relevant data from either sensors or data storage for reasoning, analyzing and forecasting. The availability of the open data sources such as public portal sites remarkably increases the efficiency and quality of the intelligent IT service. However, with the condition that not all data in the existing public or private sites are opened or have various types of openness, it prohibits the value of utilization. For these reasons, it is highly required to evaluate the extent of openness of data storage. However, there are only a few studies which explore the factors which affect the degree of data openness with respect to intelligent IT services. Hence, this study aims to propose an evaluation model including the indices to evaluate a process of opening data for the intelligent IT service from a viewpoint of data utilization process. The indices are applied to evaluate the actual multinational websites, which provide public data for verification. We also discuss the implications of the evaluation according to the results.

• Journal of Information Technology Applications and Management
• /
• v.18 no.2
• /
• pp.1-21
• /
• 2011

In this era of convergence, which is characterized by the integration and combination of technology and industries, broadcasting and communications, offline and online, and devices and services, the content industry is also experiencing rapid changes including inter-genre exchange, the creation of new industries, and customized demand. Specifically, IT-based digital content industries such as the online game, e-book, mobile contents and web portal industries are no longer restricted to the boundaries of video, music and games but are being expanded into the realms of education, medicine, fashion and sports thanks to CT innovation of 3D, CG, AR/VR, VFX, etc. As such, various countries have come to recognize the convergent content industry as a new growth engine that will pick up where the IT industry left off, and are forming policies for its development accordingly. This research aims to optimize the system of content taxonomy which is currently genre-focused and unable to support technological development and convergence, and to discover and select star contents to be rigorously developed with governmental support. In this paper, 20 star contents in 8 areas were selected, and these are expected to create tremendous cultural and economic value through ongoing technological and industrial development.

• Journal of Information Technology Services
• /
• v.17 no.1
• /
• pp.79-89
• /
• 2018

Sentiment analysis is a technique of text mining that extracts feelings of the person who wrote the sentence like movie review. The preliminary researches of sentiment analysis identify sentiments by using the dictionary which contains negative and positive words collected in advance. As researches on deep learning are actively carried out, sentiment analysis using deep learning model with morpheme or word unit has been done. However, this model has disadvantages in that the word dictionary varies according to the domain and the number of morphemes or words gets relatively larger than that of phonemes. Therefore, the size of the dictionary becomes large and the complexity of the model increases accordingly. We construct a sentiment analysis model using recurrent neural network by dividing input data into phoneme-level which is smaller than morpheme-level. To verify the performance, we use 30,000 movie reviews from the Korean biggest portal, Naver. Morpheme-level sentiment analysis model is also implemented and compared. As a result, the phoneme-level sentiment analysis model is superior to that of the morpheme-level, and in particular, the phoneme-level model using LSTM performs better than that of using GRU model. It is expected that Korean text processing based on a phoneme-level model can be applied to various text mining and language models.

• Proceedings of the Korean Institute of Interior Design Conference
• /
• 2006.05a
• /
• pp.220-223
• /
• 2006

As more people want plastic surgery for various reasons, the demand for pleasant and aesthetical environment has increased also. This study, therefore, conducted literature and portal sites research before surveying women in their 20's and 30's who are more likely to be interested in and have plastic surgery. And we worked out a questionnaire to predict the customer demand and a survey board using specific vocabulary conveying emotional information as well as designs, targeting 120 people in Gangnam and Myeongdong areas. As a result, the respondents preferred natural designs, followed by modern and casual one with slight differences based on the areas. Thus, this is open to further studies. The preference for natural designs is considered to be related with the current interests in well-being and nature-friendly trend, coupled with new naturalism in the 21C. Hence, in order to add more colorfulness, minimalism, and vitality to the existing natural environment, one needs to seek motives from nature but make use of high-tech materials with strong colors to avoid boredom but create a lively indoor environment.

• Journal of Oriental Neuropsychiatry
• /
• v.20 no.4
• /
• pp.103-113
• /
• 2009

Objectives : The purpose of this study is to review the auricular acupuncture treatment of insomnia in current traditional medicine. Methods : We reviewed the 18 studies about auricular acupuncture of insomnia which were published from 2005 through 2009. We selected those studies from PubMed, ScienceDirect, CNKI, KMbase, Korean studies Information Service System, and Korean traditional knowledge portal. Results : Selected 18 studies were divided into 8 case reports and 10 control studies. Auricular acupuncture points frequently used were Sinmun(神門), Heart(心) and acupuncture points frequently used were Baekhoe(百會, GV20), Sinmun(神門, HT7). According to specific parts of symptom, some points were added. Most of studies reported that Auricular acupuncture treatment of insomnia were very effective. Conclusions : There have been many auricular acupuncture treatment of insomnia in traditional medicine, and we believe that these studies could be applied to the clinical practices in Korea.

• Journal of Information Technology Services
• /
• v.8 no.4
• /
• pp.17-40
• /
• 2009

This study is to guide to estimate service quality on ITSM operation based on ITIL(IT Infrastructure Library). ITIL v2 and v3 provide how to integrate framework of IT service and business process. It is widely used as ITSM operation base. As a latest IT trend, ITSM covers Hardware, Software, SaaS, Network, Call center, Helpdesk, ASP portal and IT operation. Servicedesk is selected as target area where valid sampling is addressable and service change is rapid. Traditional Helpdesk was focusing on technical support to solve internal IT issues passively. But it was evolved into Service Desk which focus in process and provide integrated service from customer's business view point preventively and proactively. Accordingly outsourcing types business are normally performed by group of professional capability. Service quality is measured under the SLA(Service Level Agreement). This study utilized SERVQUAL model as service quality measuring tool developed by Parasuraman, Zeitaml and Berry to find critical factors to satisfy customer. And test was processed regarding effectiveness of IT organization and customer view point thru sampling. Though valid parameters can be changed by ITSM areas under the SERVQUAL models, they naturally can be accepted as a index of service quality measurement after sampling test with acceptable significance. And I recommend to follow this study as a preparation before official SLA.

• Journal of Information Technology Services
• /
• v.15 no.2
• /
• pp.81-92
• /
• 2016

Numerous people share their TV experience with other viewers on social media such as personal blogs and Twitter. It means that broadcast media, especially TV, affects the responses on social media. Moreover, the responses affect broadcast media ratings back. Social TV tried to use the relationship in marketing activities such as advertisement by analyzing the TV related social behavior. However, most of them used just the quantities of social media responses. This study analyzes the subjects of the responses on social media about specific TV dramas through topic modeling, and the relationship between the changes of popular topics and viewer ratings of the drama over specified periods. Five representative Korean dramas of 2014 were selected and Blog contents including viewer ratings about the dramas were collected from naver.com which is the representative portal in South Korea. The proposed analysis framework consists of three steps which are Blogs crawling, topic modeling, and topic trend analysis. We found some implications from the results of the topic trend analysis. Firstly, there were specific topics on dramas in social media. Secondly, the topics had some meaningful relationships with viewer ratings. Lastly, there were differences between the topics of dramas with higher viewer ratings and those with lower viewer ratings.