• Journal of dental hygiene science
• /
• v.20 no.3
• /
• pp.163-170
• /
• 2020

Background: Job satisfaction of dental hygienists has been discussed continuously in dental hygiene research. It has been the most representative performance variable in dental and human resource management. However, in quantitative research, most of the studies have analyzed the causal relationship with variables related to dental hygienists' job satisfaction. The existing qualitative research contains only the studies that targeted dental hygienists with an experience of more than 10 years. The present study aimed to understand and to characterize the job satisfaction of dental hygienists with an experience of 2 to 10 years and to compare it with the qualitative research on dental hygienists with an experience of 10 or more years. Methods: An in-depth interview of dental hygienists with 2 to 10 years of experience working in 10 dental clinics was conducted. For data analysis, Giorgi's analysis method was used. Results: After analyzing the meaning of job satisfaction of dental hygienists, 180 semantic words and 19 subcategories were derived. The results of the interview were categorized into for central meanings: recognition and rewards, work experience and ability improvement, occupational characteristics, and work characteristics. Recognition and rewards included workplace recognition, patient recognition, self-effort and recognition, and the feeling of being rewarded. Work experience and ability improvement included various work experiences and factors relates to improving the work ability. Occupational characteristics included professional job, interest and persistence, job extensibility, and no burden of employment. Work characteristics included working conditions and separation of work and private life. Conclusion: The development of tools to measure the level of dental hygienists' job satisfaction after long-term service and to conduct follow-up research regarding ways and effects to improve job satisfaction is needed.

• Journal of the Korea Convergence Society
• /
• v.6 no.6
• /
• pp.87-93
• /
• 2015

Advertisements in modern era are not intended to be consumed only as commercial purposes, but consumed also as cultural and artistic purposes. Advertising contents' success depends on Semiotic codes revealed in advertising texts. Advertising scholar Ozoh (1998) argued that perspectives for advertising are divided into two perspective, one as marketing tool perspective and the other as communication processes perspective. Advertising planning, advertising management, advertising, and advertising evaluation of marketing perspective are significantly different from those of communication perspective. Two perspectives of advertising present various debates on what contents of advertising messages are and how advertising messages are made up. In this research manuscripts, we discuss story telling as communication tool of advertising text in terms of cultural semiotics. That is, meaning value of goods is so well revealed in use value of goods that they satisfy consumers' needs, we analyze how they satisfy consumers' needs in semiotic(symbolic) process. We apply Gremas's semantic model to coffee advertisements in France and Korea, and analyze various differences between differentiation strategies of French coffee advertisements and those of Korean coffee advertisements in terms of semiotic perspective.

• Journal of Digital Convergence
• /
• v.15 no.8
• /
• pp.359-366
• /
• 2017

As the quality of life increases and the aesthetic value of the product is emphasized, it tend to consider the sensitivity of consumers in designing goods. The importance of storytelling is becoming more prominent as the purchasing factor of products shifted from the center of the product to emotional of products. In this paper, the purpose of developing emotional marketing craft design using storytelling is to understand the storytelling concept and analyze the case of craft design using storytelling. Craft is an easy-to-value or aesthetic value of the goods in the fields of design, diversity and originality can be pursued and has unlimited potential. Now, in addition to the semantic value of expressive values with a consumer sensibility needs requires the development of this research craft crafts design industry has established itself as a high value-added industry could do more to take advantage of the Foundation.

• The Journal of the Korea Contents Association
• /
• v.20 no.2
• /
• pp.240-247
• /
• 2020

There have been many efforts to understand the trends of IT environments that have been rapidly changed. In a view point of management, it needs to prepare the social systems in advance by using Big-data these days. This research is for the implementation of Issue Analysis System for the Big-data based on Artificial Intelligence. This paper aims to confirm the possibility of new technology for Big-data processing through the proposed Issue Analysis System using. We propose a technique for semantic reasoning and pattern analysis based on the AI and show the proposed method is feasible to handle the Big-data. We want to verify that the proposed method can be useful in dealing with Big-data by applying latest security issues into the system. The experiments show the potentials for the proposed method to use it as a base technology for dealing with Big-data for various purposes.

• Journal of Korea Multimedia Society
• /
• v.9 no.9
• /
• pp.1231-1246
• /
• 2006

HTML is a format for rendering Web documents visually and uses tables to present a relational information. Since HTML has limits in terms of information processing and management by a computer, it is important to transform HTML tables into XML documents, which is able to represent logical structure information. As a prerequisite for extracting information from the Web, this paper presents an efficient method for extracting logical structures from HTML tables and transforming them into XML documents. The proposed method consists of two phases: Area segmentation and structure analysis. The area segmentation step removes noisy areas and extracts attribute and value areas through visual and semantic coherency checkup. The hierarchical structure between attribute and value areas are analyzed and transformed into XML representations using a proposed table model. Experimental results with 1,180 HTML tables show that the proposed method performs better than the conventional method, resulting in an average precision of 86.7%.

• Journal of KIISE:Databases
• /
• v.32 no.5
• /
• pp.526-535
• /
• 2005

Ontology is a methodology on describing specific concepts and their relationships, and it is being considered important more and more as semantic web and variety of knowledge management systems are being highlighted. Ontology uses the relationships among concerts to represent some concrete semantics of specific concept. When we want to get some useful information from ontology, we severely have to process the transitive relationships because most of relationships among concepts represent transitivity. Technically, it causes recursive calls to process such transitive closure queries with heavy costs. This paper describes the efficient technique for processing transitive closure queries in ontology. To the purpose of it, we examine some approaches of current systems for transitive closure queries, and propose a technique by graph labeling scheme. Basically, we assume large size of ontology, and then we show that our approach gives relative efficiency in processing of transitive closure, queries.

• Journal of Information Management
• /
• v.39 no.3
• /
• pp.73-94
• /
• 2008

The science & technology information is core point of the knowledge based society which will accomplish the role which economic development is lead. Simultaneously, Korea will jump at powerful country of knowledge information. But, There is not analysis about affects in the economic growth and various economic structure which follows in national knowledge information system development. This research analyses the economic ripple effects, in terms of production inducement effect, added value inducement effect, import inducement effect, labor inducement effect, of national knowledge information system development in KISTI from 2001 to 2008, using an input-output analysis of the bank of Korea(2007). It also examines economic propriety using an benefit-cost analysis for national knowledge information system development.

• Journal of Information Management
• /
• v.39 no.4
• /
• pp.173-186
• /
• 2008

We propose a mash-up system for searching herb, which can search the herbal information in oriental medicine fields using the various Open APIs. We in particular developed and opened two Open APIs which enable to search papers and projects in oriental medicine fields with the general Open APIs. These Open APIs can share and provide the expert knowledge in oriental medicine fields. The information for a herb in oriental medicine fields has various names and descriptions according to their sources unlike other fields. Thus, it is hard to get the results using one or two keywords such as the general search engines. To solve this problem, we in this paper propose a way to provide the more exact and extensive search results using the herb ontology with one hundred herbal information in oriental medicine fields.

• Journal of Digital Convergence
• /
• v.11 no.3
• /
• pp.363-369
• /
• 2013

In this paper, the modeling of phenomena that occurs in the brain related language was designed and developed the second language proficiency method. This method based on cognitive ability test in cognitive psychology that is the lexical decision task, the priming task and the verbal span task. The lexical decision task involves measuring how quickly decide stimuli as words or nonwords. This task is divided reading and listening according to stimulus type to the details. The priming task finds the output of the language. This task is divided the translation-priming and the semantic-priming according to stimulus type. The verbal span task finds the short term memory. In this paper, we propose the second language proficiency measurement method using the linguistics cognitive ability of the learner about the second language.

• Journal of Korean Academy of Nursing
• /
• v.47 no.5
• /
• pp.600-612
• /
• 2017

Purpose: This study aimed to identify and compare hospice care research topics between Korean and international nursing studies using text network analysis. Methods: The study was conducted in four steps: 1) collecting abstracts of relevant journal articles, 2) extracting and cleaning keywords (semantic morphemes) from the abstracts, 3) developing co-occurrence matrices and text-networks of keywords, and 4) analyzing network-related measures including degree centrality, closeness centrality, betweenness centrality, and clustering using the NetMiner program. Abstracts from 347 Korean and 1,926 international studies for the period of 1998-2016 were analyzed. Results: Between Korean and international studies, six of the most important core keywords-"hospice," "patient," "death," "RNs," "care," and "family"-were common, whereas "cancer" from Korean studies and "palliative care" from international studies ranked more highly. Keywords such as "attitude," "spirituality," "life," "effect," and "meaning" for Korean studies and "communication," "treatment," "USA," and "doctor" for international studies uniquely emerged as core keywords in recent studies (2011~2016). Five subtopic groups each were identified from Korean and international studies. Two common subtopics were "hospice palliative care and volunteers" and "cancer patients." Conclusion: For a better quality of hospice care in Korea, it is recommended that nursing researchers focus on study topics of patients with non-cancer disease, children and family, communication, and pain and symptom management.