• Journal of Internet Computing and Services
• /
• v.13 no.2
• /
• pp.73-86
• /
• 2012

This paper theoretically derives an algorithm to discover a new type of social networks from workflow models, which is termed workflow-based social network intelligence. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict from workflow models and their execution histories. So, this paper proposes an algorithm, which is termed ICN-based workflow-based social network intelligence discovery algorithm, to be classified into the type of discovery techniques, which are able to discover workflow-based social network intelligence that are formed among workflow performers through a series of workflow models and their executions, In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to generate its corresponding workflow-based social network intelligence.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.6 no.10
• /
• pp.145-153
• /
• 2016

The purpose of the study is to draw competencies of faculty members at graduate school faculty to implements the NCS-based curriculum. A set of competency was deductively derived from a total of three professors and consultants with more than ten-year experiences and has been involved in developing the college curriculum. The political endeavors of the Korean government toward the competency-based education have been implemented as a movement to the NCS-based curriculum. The requirements for the reorganization of curriculum and education system as well as cooperation among faculty, industry, region and development part of NCS were suggested for the activation of NCS based education and the operation of NCS. However, one of the most critical factors in introducing and implementing the NCS-based curriculum is the role of faculty members. Therefore, it is an urgent issue to equip the faculties with required competencies. Result showed that the competencies required professors at graduate school for the NCS-based curriculum implementation were classified into four areas: marco-level curriculum development; micro-level course design; knowledge across areas; and attitude across areas.

• The Journal of the Korea Contents Association
• /
• v.14 no.2
• /
• pp.257-269
• /
• 2014

This study examines the effects of community child care center workers' perception of professionalism on their job satisfaction. This study conducts a survey of 221 community child care workers in Seoul, Gyeonggi, and Gangwon provinces in Korea. Results show that the level of perception of professionalism and job satisfaction are over intermediate. The perception on professional values and ethics are slightly higher than the perception on professional knowledge and skills. The workers are more satisfied with intrinsic job factors such as achievement and responsibility than extrinsic job factors such as compensation and working conditions. Regression analysis reveals that the workers' perception of professionalism is positively associated with both intrinsic and extrinsic job satisfaction. Based on the findings, this study provides suggestions to enhance the workers' professionalism and job satisfaction, which will contribute the quality of services in community child care centers.

• Journal of the Korean Society for Library and Information Science
• /
• v.42 no.1
• /
• pp.95-125
• /
• 2008

Despite huge significance of public policy information to a country and its people, it seems that Korean government lacks a nationwide service that specializes in managing those information. Nowadays the organization of the central government is very complicated and the amount of information and data they are producing is massively growing. Naturally, without any advanced knowledge, it is not easy to find the information you want from the government information service. Besides, government publications are scattered and not under control of unified collection. This study suggests an efficient policy information service model that can i) provide stepping stones for a competent knowledge-based government by providing necessary information for policy-making process in government ministries and public organizations, ii) build national policy information infrastructure by incorporating policy-related information dispersed over different ministries, and iii) identify new approaches to improve policy information services.

• Asian Pacific Journal of Cancer Prevention
• /
• v.15 no.4
• /
• pp.1791-1796
• /
• 2014

Background: Colorectal cancer (CRC) is a leading cause of cancer death among Vietnamese Americans, yet screening remains underutilized. We investigated the effectiveness of a culturally tailored DVD intervention in promoting CRC screening among unscreened Vietnamese Americans age 50 and over. Materials and Methods: Using a community-based participatory research approach, we conducted a trial comparing twenty-eight subjects who received a mailed DVD in Vietnamese, with twenty-eight subjects who received a mailed brochure in Vietnamese. Subjects completed telephone surveys at baseline, One-month, and one-year. The primary outcome was receipt of screening. Secondary measures were participants' knowledge, attitudes, and beliefs about CRC screening. Two focus groups explored the intervention's acceptability and effectiveness. Results: At one year, CRC screening rates of 57.1% and 42.9% were observed in experimental and control group respectively (p=0.42), Subjects in both groups showed increased knowledge about CRC after one month. Focus group findings revealed that the DVD was an effective method of communicating information and would help promote screening. Conclusions: The findings suggest that culturally tailored, linguistically appropriate content is more important than the type of media used. This relatively low intensity, low cost intervention utilizing a DVD can be another useful method for outreach to the often hard-to-reach unscreened population.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.9
• /
• pp.151-160
• /
• 2020

Various smart city projects have been actively promoted as important policies of governments in various countries. The key to the success of smart cities led by governments is to develop sustainable governance through the expansion and proliferation of outcomes. This study comparatively analyzed the smart city policies of the USA and Europe from viewpoints of outcome expansion and proposed policy directions for smart cities in Korea. The comparison items were case cities, the expansion of smart city technologies and services, the measurement of outcomes, the accumulation of knowledge and information, and standardization. This study found that the items of each index were linked for the purpose of assessment, expansion, and the creation of successful cases in the USA and Europe. Based on our analysis, four policy directions were proposed that included the early provision of follow-up measures for case cities, the development of a project performance assessment system, the provision of an integrated knowledge accumulation system, and an earnest promotion of industry activation policies.

• Journal of the Korean Society for Library and Information Science
• /
• v.48 no.1
• /
• pp.5-25
• /
• 2014

A public library in most countries is a knowledge and cultural institution, which is established, supported and funded by the local administrative authorities and central government. Public libraries, therefore, should ensure access to knowledge and information through various resources and services equally available to all members of the community. This role of the public library is a world-wide phenomenon and are called the universality which is applied to all countries. On the other hand, the public library's policies and operations in many countries have their own particularity, meaning exceptional cases, and this is due to the different stages of the growth and development, socio-cultural diversities. This study analyzed and discoursed whether expansion policy of the small library, supremacy of lifelong learning, steep increase in the percentage of contracting out, installation and operation of reading rooms in public libraries are examples of tolerance of particularity based on the universality or the negation of the universality packed with particularity in Korea.

• Journal of Digital Contents Society
• /
• v.19 no.1
• /
• pp.75-83
• /
• 2018

Multicultural family members have difficulty in educating their children due to language differences. In order to solve these difficulties, it is necessary to provide smart translation services that enable them easily and quickly access real-life vocabularies. However, the current automatic translation technology is being developed in dominant languages such as English, Chinese, and Japanese. There are also limitations to translating special-purpose terms such as documents of schools and instructions of public institutions. In this study, we propose a real-time automatic word translation service for multicultural family members who understand beginner level Korean. The service automatically analyzes the semantics of each word in the Korean sentences and provides a word-by-word translation. This study includes semantic analysis research for Korean language, building multilingual translation knowledge, and fusion study of language education. We evaluated the word translation service for migrant women from Vietnam and Japan and obtained meaningful evaluation results.

• Journal of Digital Convergence
• /
• v.11 no.1
• /
• pp.423-430
• /
• 2013

The development of information technology introduced digital contents and Social Network Services(SNS), and allowed the virtual transaction and communication between users called "the experience knowledge" advanced from "the objective knowledge." This paper will analyze interactive storytelling system creating different types of stories on narrative genre about family history, personal history and so on. Through analysis on narrative interviews, direct observations, documentations and visual records, contents about CEO story, corporate story, family story and especially family history will be categorized into sampleDB and informationDB. Accumulated contents will allow the user to increase the value and usage of the contents through interactive storytelling system by restructuring the contents on family history. This research has developed writing tool data model using different digital contents such as texts, images and pictures to encourage open communications between first generations and third generations in Korea. Furthermore, researched about connected system on interactive storytelling creation device using various genre of family story that has been data based.

• Journal of KIISE
• /
• v.43 no.1
• /
• pp.61-70
• /
• 2016

In recent years, there has been a need for techniques for large-scale ontology inference in order to infer new knowledge from existing knowledge at a high speed, and for a diversity of semantic services. With the recent advances in distributed computing, developments of ontology inference engines have mostly been studied based on Hadoop or Spark frameworks on large clusters. Parallel programming techniques using GPGPU, which utilizes many cores when compared with CPU, is also used for ontology inference. In this paper, by combining the advantages of both techniques, we propose a new method for reasoning large RDFS ontology data using a Spark in-memory framework and inferencing distributed data at a high speed using GPGPU. Using GPGPU, ontology reasoning over high-capacity data can be performed as a low cost with higher efficiency over conventional inference methods. In addition, we show that GPGPU can reduce the data workload on each node through the Spark cluster. In order to evaluate our approach, we used LUBM ranging from 10 to 120. Our experimental results showed that our proposed reasoning engine performs 7 times faster than a conventional approach which uses a Spark in-memory inference engine.