• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.9 no.1
• /
• pp.407-420
• /
• 2015

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.3 no.4
• /
• pp.218-228
• /
• 2008

The convergence of broadcasting and telecommunication services is being accelerated by broadband networks, digital broadcasting and Web2.0. This paper describes the definition and service characteristics of IPTV as a representative of broadcasting and telecommunication convergence services. Especially, the changes of infrastructure and technology for IPTV2.0 are addressed in terms of the service features of mobility, intelligence and participation. IPTV2.0 shall be characterized by the open IPTV service based on Web2.0 and the mobile IPTV service over the heterogeneous networks employing various wireless/wired access technologies. The IP Multimedia Subsystem (IMS) and Service Delivery Platform (SDP) technologies are increasingly considered to support the personalization and openness. The mobility management technology is being evolved to provide QoS-guaranteed mobile communication services to users at anytime and anywhere. IPTV2.0 services and platforms are also anticipated to be core components to achieve knowledge-based ubiquitous society. IPTV2.0 contents are required to be integrated with the enhanced metadata to efficiently support search, selection, convergence and delivery of the contents. Moreover, those contents shall be enhanced to provide the scalable services which is adaptable to the network status and user preferences. Therefore, the networking technologies for IPTV2.0 should tightly cooperate with application services and adaptive contents. Those technologies will be developed to construct the ubiquitous content service platform considering the evolution of networks and various converged services.

• The Korean Journal of Emergency Medical Services
• /
• v.9 no.2
• /
• pp.169-180
• /
• 2005

The purpose of this research was to evaluate retention of cognitive knowledge, psychomotor skills and self-confidence on CPR 3 months after CPR training program. The sample consisted of 39 nursing students. We provided one rescuer CPR training program for nursing college students on the basis of AHA. The questionnaires for knowledge of CPR were developed 50 items based on AHA guidelines. Self-confidence were checked by 11 items questionnaires. The accuracy of CPR skills were checked by Skillreporter CPR training manikin and by researcher's evaluation based on CPR skill checklist. The results were as follows ; 1. The majority of participants didn't have any previously experiences of CPR training (76.9%). Only 15.1% previously took the CPR training with CPR practice. 2. In terms of self-confidence of CPR. The score were increased for 2 days (p>.001) but retention of self confidence was significantly statistical decreased in 3 months after training (p<.001). 3. There was a statistically significant decrement in mean of knowledge of CPR between 2 days and 3 months after CPR training (p<.001). 4. There was a statistically significant decrement in cognitive knowledge of CPR based on CPR skills checklist(p<.001). 5. Retention scores of psychomotor skills of CPR 3 months after training were 42.10% in numbers of adequate ventilation, 52.81% in numbers of adequate chest compression (p<.001) respectively. 6. Retention of passing rate on chest compressions of CPR 3 months after training was 27% (p<.001), on ventilation was 2.63% (p>.001). The error items with statistically significant differences 3 months after CPR training were too little ventilation (74.36%) and too little chest compressions (92.31%). The results of the study suggest that we need further evaluation of course components which could improve retention of CPR for all trainees.

• Journal of the Economic Geographical Society of Korea
• /
• v.9 no.1
• /
• pp.97-122
• /
• 2006

The purpose of this paper is to analyze production and innovation networks of services in the long-live area of Gangwon and Jeju Provinces and to suggest a policy direction for regional development of rural areas where have been neglected in the knowledge-based information society. Four counties in the Honam Region, the long-live belt of Korea and two cities (Jeonju, Gwangju) are surveyed for the purpose of comparison with the Gangwon and Jeju areas. Production and innovation networks of research and supporting activities and tourist services are analyzed based on intensive interview surveys of the regions. The result of the analysis suggests that the innovation networks among the economic actors have considerable impacts on the innovation processes of the service activities and the service functions in the rural area are somewhat developed with local industry after the practice of local autonomy. The processes of innovation networks are progressed differently by the hierarchy of the regions as well as by the function of services such as research and supporting activities and tourist services. The direction of the rural development in the knowledge-based information society seems to be intensifying the networks among the innovative actors and developing virtual innovation networks for the development of rural innovation systems.

• Knowledge Management Research
• /
• v.19 no.1
• /
• pp.147-174
• /
• 2018

Recently, firms have been putting forth significant efforts to fulfill various demands and high expectations of customers. The role and importance of customer centers as a direct contact point for customer relationship management are more emphasized than previously. A customer center draws attention as a new alternative to secure corporate competitiveness as it contributes to sales increase, being in a position to satisfy customers' needs by ensuring customers' access to information. A customer center is an aggregation of various information and communication technologies. In particular, a voice recognition/analysis technology based on big data can elaborate customer services further, enhance customer satisfaction, and trigger constant interactions with customers. A customer center can be transformed to a hub of customer knowledge and the embodiment of business intelligence in the front line of business. This article is a case study on how the customer center of the K life insurance company regarding customer center operation collects and analyzes customer information and how it has established its voice recognition/analysis system based on big data to improve customer experience management. Factors affecting the successful introduction and implementation of voice recognition/analysis system to a firm, are examined.

• Journal of Information Processing Systems
• /
• v.9 no.4
• /
• pp.548-566
• /
• 2013

The availability of technology and the abundance of experts in universities create an ample opportunity to provide a venue that allows a knowledge seeker to easily connect with and request advice from university experts. On the other hand, outsourcing provides opportunities and remains one of the emerging trends in organizations, and can very clearly observed in the Philippines. This paper describes the development of a reliable web-based approach to Knowledge Product Outsourcing (KPO) services in the Silliman Online University Learning system. The system is called an "e-Knowledge Box."It integrates Web 2.0 technologies and mechanisms, such as instant messaging, private messaging, document forwarding, video conferencing, online payments, net meetings, and social collaboration together into one system. Among the tools used are WAMP Server 2.0, PHP, BlabIM, Wordpress 3.0, Video Whisper, Red5, Adobe Dreamweaver CS4, and Virtual Box. The proposed system is integrated with the search engine in URLs, Web feeds, email links, social bookmarking, search engine sitemaps, and Web Analytics Direct Visitor Reports. The site demonstrates great web usability and has an excellent rating in functionality, language and content, online help and user guides, system and user feedback, consistency, and architectural and visual clarity. Likewise, the site was was rated as being very good for the following items: navigation navigation, user control, and error prevention and correction.

• Nutrition Research and Practice
• /
• v.10 no.1
• /
• pp.99-107
• /
• 2016

BACKGROUND/OBJECTIVE: Competent renal dietitians are crucial for better patient compliance and clinical outcomes, specifically in critical settings. The aim of this study was to develop and evaluate an evidence-based course in renal dietetics for dietitians working in health care systems where dietetic specialization is absent. SUBJECTS/METHODS: Fifteen licensed dietitians working with hemodialysis patients in Lebanon were randomly recruited to participate in the course. The latter was developed by the study's primary investigator, according to evidence-based practice guidelines, and focused on all aspects of renal nutrition. Total course duration was 28 hours spread over a 2 month period. Dietitians' knowledge in renal nutrition was tested pre- and post-training through a 23-item questionnaire; the total score was expressed in percentage (< 60% score indicated insufficient knowledge). Paired-samples t test was used for statistical analysis. RESULTS: Overall knowledge of the dietitians significantly improved post-training and reached satisfactory levels (pre: $38.75{\pm}17.20%$, post: $62.08{\pm}21.85%$). Sub-analysis of the change in the knowledge showed significant and satisfactory improvement only in 3 topics: 1) correct body weight use in calculations, 2) energy estimation method and 3) phosphorus management. Knowledge in the fluid management significantly improved but did not achieve a satisfactory level. CONCLUSION: The course significantly improved dietitians' knowledge in renal nutrition. If adopted as part of the continuing education of dietitians in countries that lack dietetic specializations, it may serve the first step towards improving health care practice.

• Journal of the Korea Convergence Society
• /
• v.9 no.10
• /
• pp.75-80
• /
• 2018

In this paper, we propose heterogeneous lifelog mining model in health big-data platform. It is an ontology-based mining model for collecting user's lifelog in real-time and providing healthcare services. The proposed method distributes heterogeneous lifelog data and processes it in real time in a cloud computing environment. The knowledge base is reconstructed by an upper ontology method suitable for the environment constructed based on the heterogeneous ontology. The restructured knowledge base generates inference rules using Jena 4.0 inference engines, and provides real-time healthcare services by rule-based inference methods. Lifelog mining constructs an analysis of hidden relationships and a predictive model for time-series bio-signal. This enables real-time healthcare services that realize preventive health services to detect changes in the users' bio-signal by exploring negative or positive correlations that are not included in the relationships or inference rules. The performance evaluation shows that the proposed heterogeneous lifelog mining model method is superior to other models with an accuracy of 0.734, a precision of 0.752.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2007.04a
• /
• pp.731-736
• /
• 2007

Ubiquitous computing is a model of computing in which computer functions are integrated into everyday life, providing services and information in anywhere and anytime fashion. Augmented Reality is one of ubiquitous computing technologies to provide new paradigm utilized to interact between human and computer. By adding computer-generated non-visual information to real information and their interaction. user can get the improved and more knowledgeable information about real world. The purpose of this paper is the integration of AR and knowledge-base reasoning technology in ubiquitous computing. Through the introduced concept, it is enable to provide adequate knowledge in the process of ship design and manufacturing easily (Knowledge Everywhere). That is, this is a basic research to construct knowledge-based ubiquitous environment (KAD/KAM) in shipbuilding industry.

• Journal of Technology Innovation
• /
• v.9 no.2
• /
• pp.1-16
• /
• 2001

Technology transfer is recognized as a critical issue to strengthen industri competitiveness in today's global and knowledge-based economies. The vertical transfer of technology from R&D labs to industries is becoming more emphasized than the horizontal company-to-company transfer of commercialized technology. The network and cooperation among technology transfer intermediaries are becoming more important with the increasing demand of the comprehensive technology transfer services. This paper presents the configuration models for technology transfer from universities and research institutes to industries. The configuration models are classified and discussed from the viewpoint of information flow, and also technology and knowledge transfer.