• Asia pacific journal of information systems
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• v.19 no.1
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

• Journal of Intelligence and Information Systems
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• v.21 no.1
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• pp.1-13
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• 2015

As opinion mining in big data applications has been highlighted, a lot of research on unstructured data has made. Lots of social media on the Internet generate unstructured or semi-structured data every second and they are often made by natural or human languages we use in daily life. Many words in human languages have multiple meanings or senses. In this result, it is very difficult for computers to extract useful information from these datasets. Traditional web search engines are usually based on keyword search, resulting in incorrect search results which are far from users' intentions. Even though a lot of progress in enhancing the performance of search engines has made over the last years in order to provide users with appropriate results, there is still so much to improve it. Word sense disambiguation can play a very important role in dealing with natural language processing and is considered as one of the most difficult problems in this area. Major approaches to word sense disambiguation can be classified as knowledge-base, supervised corpus-based, and unsupervised corpus-based approaches. This paper presents a method which automatically generates a corpus for word sense disambiguation by taking advantage of examples in existing dictionaries and avoids expensive sense tagging processes. It experiments the effectiveness of the method based on Naïve Bayes Model, which is one of supervised learning algorithms, by using Korean standard unabridged dictionary and Sejong Corpus. Korean standard unabridged dictionary has approximately 57,000 sentences. Sejong Corpus has about 790,000 sentences tagged with part-of-speech and senses all together. For the experiment of this study, Korean standard unabridged dictionary and Sejong Corpus were experimented as a combination and separate entities using cross validation. Only nouns, target subjects in word sense disambiguation, were selected. 93,522 word senses among 265,655 nouns and 56,914 sentences from related proverbs and examples were additionally combined in the corpus. Sejong Corpus was easily merged with Korean standard unabridged dictionary because Sejong Corpus was tagged based on sense indices defined by Korean standard unabridged dictionary. Sense vectors were formed after the merged corpus was created. Terms used in creating sense vectors were added in the named entity dictionary of Korean morphological analyzer. By using the extended named entity dictionary, term vectors were extracted from the input sentences and then term vectors for the sentences were created. Given the extracted term vector and the sense vector model made during the pre-processing stage, the sense-tagged terms were determined by the vector space model based word sense disambiguation. In addition, this study shows the effectiveness of merged corpus from examples in Korean standard unabridged dictionary and Sejong Corpus. The experiment shows the better results in precision and recall are found with the merged corpus. This study suggests it can practically enhance the performance of internet search engines and help us to understand more accurate meaning of a sentence in natural language processing pertinent to search engines, opinion mining, and text mining. Naïve Bayes classifier used in this study represents a supervised learning algorithm and uses Bayes theorem. Naïve Bayes classifier has an assumption that all senses are independent. Even though the assumption of Naïve Bayes classifier is not realistic and ignores the correlation between attributes, Naïve Bayes classifier is widely used because of its simplicity and in practice it is known to be very effective in many applications such as text classification and medical diagnosis. However, further research need to be carried out to consider all possible combinations and/or partial combinations of all senses in a sentence. Also, the effectiveness of word sense disambiguation may be improved if rhetorical structures or morphological dependencies between words are analyzed through syntactic analysis.

• Women's Health Nursing
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• v.5 no.1
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• pp.111-132
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• 1999

This correlational descriptive study sought to define the relationship between the experience of Sanhujori, Korean tradition non-professional postpartal care after delivery and abortion and present physical symptom distress of arthritis female who visited to outpatient clinic of rheumatic internal medicine at three hospital located in Seoul, Pusan, Chongju, Korea. Data from a convenience sample of 98 women who orally agreed to be respondent were collected from September 1, 1998 to October 31, 1998 for two months by way of interview with semi-structured questionnaire. Data analysis consisted of frequency, percentage, mean, S. D., Pearson Correlation Coefficient, t-test, ANOVA and Scheffe test as a post hoc by SPSS. The results of the study were as follows ; Mean age of participants as 52.8 years and mean number of children 3.3. Mean frequency of child birth was 3.1 times per woman, 67.4% of respondents had menopause, 57.0% did not have Sunhujori after abortion. The health status implies the subjective health status women perceived, which came from the three points of view of the present, comparative with other of same age and changed after delivery. The respondents of 76.1% perceived them as unhealthy and the main sites of physical symptom distress were upper & lower extremities including knee and hand 34.8%, shoulder 26.5%, waist 22.4%. Women perceived the etiology of the arthritis as 'did Sanhujori wrongly' 36.7%, 'aging process' 24.5%, 'stress' 16.3%, 'overwork' 15.3%, 'Immunocompromize' & 'physical constitution' 7.1% respectively, 'character' 3.1%, 'genetic' 2.0%, 'malnutrition' 1.0%. The mean period of Sanhujori after delivery was 20.4 at the first child and 18.1 at the second child. The higher frequency of child birth, the shorter period of Sanhujori. For the subjective evaluation of whether the women did Sanhujori well or not, the rate of 'did Sanhujori well' was the highest rank in the first child and the rate of 'did not particularly Sanhujori well' was the highest rank in the last child. There was a significant positive correlation between physical function disability and rheumatoid arthritis symptom at the level of 1% of significance statistically(r=.406). And a positive correlation between physical function disability and Sanhubyung symptom at the level of 5% of significance statistically(r=.224). There was a significant positive correlation among rheumatoid arthritis symptom, Sanhubyung symptom and menopause symptom at the level of 1%-5% of significance statistically. Most of all, the correlation between Sanhubyung symptom and menopause symptom was the higher than others. There was a negative correlation between the present physical symptom distress and experience of Sanhujori(r=.-130), however it was not significant statistically. However, there was a positive correlation between subjective health status and experience of Sanhujori at the level of 1% of significance statistically(r=.328). In conclusion, this finding reconfirmed the positive relationship between the perceived health status and experience of Sanhujori after delivery among women of arthritis. It provides a challenge to the professional care givers to study further on the effects of Sanhuiori after abortion or delivery on the physical symptom distress from the variouis aspects through the cross-sectional and longitudinal research. The strategy for the development of the appropriate intervention for primary prevention of sequele after childbirth and quality of care for desirable health outcomes for postpartal women with considering deeply on the relationship between women's health and postapartal care.

• Journal of Science Education
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• v.38 no.3
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• pp.718-736
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• 2014

This study was intended to determine PCK of the middle school science teachers on Mendelian genetics and factors influenced to form their PCKs. Two science teachers with biology major with a teaching experience over 5 years were chosen as the subject. Data were collected by class observation, semi-structured interview, teacher questionnaire survey, Content Representation and Pedagogical and Professional-experience Repertoire. The collected data were analyzed based on Magnusson's PCK for science teaching consisting of five components: (a) the orientation toward teaching science, (b) the knowledge of science curriculum, (c) the knowledge of students' understanding, (d) the knowledge of assessment, and (e) the knowledge and belief in the instructional strategies to teach science. Teachers could have the orientation toward teaching science served as an assisting role to support students' abilities. Both subject teachers seemed to focus on giving lectures. Their efforts to improve students' exploration methods and abilities were not expressed enough in their real classes and they found that students struggled to understand Mendelian genetics. Therefore, they should have explained them in an easier way and worked harder to make their students understood accurately and applied basic and advanced concepts of Mendelian genetics. They found students' preconception and misconception regarding Mendelian genetics and wished to enhance their learning effects by various teaching strategies such as correcting misconception, adding the history of science and simply assessing students' affirmative domains. It was also found that factors influenced to form PCK regarding Mendelian genetics by both teachers were as follows: teacher's personality and endeavor, textbooks and guidance books, schools and their circumstances, teaching experience, experience as a learner, interaction with their colleagues, and university curriculum. Both teachers said that it was important for teachers to make every efforts to give better classes.

• The Journal of the Korea Contents Association
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• v.19 no.2
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• pp.477-490
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• 2019

This study analyzes the process of overcoming prejudice and discrimination experiences of mothers with disabilities and looks for improvement points. It is interviewed 9 mothers of children with disabilities who were experiencing prejudice and discrimination while raising children with disabilities. The data collection was conducted from October to November, 2018 and one by on one in depth interview by using semi - structured questionnaires. Data analysis was done through consensual qualitative research (CQR). The result of CQR while it is a experiencing the process of prejudice and discrimination as well as coping the raising disabled children. 'Prejudice and discrimination experience of mothers with disabilities' and 'overcoming of discrimination experiences of mothers with disabilities' were derived. And the seven sub-regions, 28 categories, were finally constructed. The results of the study are as follows. Firstly, Prejudice and discrimination experiences of mothers with disabilities in raising children with disabilities are view of looking at children with disabilities comparing to those of normal children and children with disabilities. It seems that they want to treat the disabled child as the general child with an attitude of understanding and accepting the disabled child rather than looking at the disabled child with wrong perception, prejudice, stereotypes and rejection. Secondly, The process of overcoming the discrimination experiences of the mother of the disabled child is strengthening the cohesion and cohesion within the family in the process of accepting and coping with the disability family of the child with disabilities even if they raise the child with disability and have difficulties such as recognition bias and discrimination of the general public. Based on the results of this study, we suggested practical and policy implications for the mother's psychological stability of the child with disability and the disabled child's healthy life.

• Journal of the Korean Institute of Landscape Architecture
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• v.51 no.1
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• pp.42-55
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• 2023

A methodology to predict the carbon performance of newly created urban greening plans is required as policies based on quantifying carbon performance are rapidly being introduced in the face of the climate crisis caused by global warming. This study developed a tree carbon calculator that can be used for carbon reduction designs in landscaping and attempted to verify its effectiveness in landscape design. For practical operability, MS Excel was selected as a format, and carbon absorption and storage by tree type and size were extracted from 93 representative species to reflect plant design characteristics. The database, including tree unit prices, was established to reflect cost limitations. A plantation experimental design to verify the performance of the tree carbon calculator was conducted by simulating the design of parks in the central region for four landscape design, and the causal relationship was analyzed by conducting semi-structured interviews before and after. As a result, carbon absorption and carbon storage in the design using the tree carbon calculator were about 17-82% and about 14-85% higher, respectively, compared to not using it. It was confirmed that the reason for the increase in carbon performance efficiency was that additional planting was actively carried out within a given budget, along with the replacement of excellent carbon performance species. Pre-interviews revealed that designers distrusted data and the burdens caused by new programs before using the arboreal carbon calculator but tended to change positively because of its usefulness and ease of use. In order to implement carbon reduction design in the landscaping field, it is necessary to develop it into a carbon calculator for trees and landscaping performance. This study is expected to present a useful direction for ntroducing carbon reduction designs based on quantitative data in landscape design.

• Korean Journal of Psychosomatic Medicine
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• v.22 no.1
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• pp.13-22
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• 2014

Objectives : Breast cancer has been the most prevalent female cancer in South Korea since 2001. Early detection of this disease is the most effective strategy for reducing mortality. The objective of this study was to identify factors which could predict advanced stage at diagnosis of breast cancer. Methods : Participants who were initially diagnosed with breast cancer and referred to the Stress Clinic of the Breast Cancer Center at Kyungpook National University Hospital were included. Through a semi-structured interview, the authors investigated psychosocial variables such as the extent of marital and family functioning and emotional-economic family burden as well as sociodemographic and health behavior-, health characteristic- and cancer-related variables. Results : Data were collected from 219 participants. One hundred and twenty(54.8%) subjects were diagnosed with advanced-stage breast cancer. Variables that were significantly different between the advanced-stage and early-stage groups included : monthly breast self examination(p<0.000), annual mammographic screening(p<0.000), mode of tumor detection(p<0.000), nature of the first symptoms(p<0.000), time to treatment after diagnosis(p<0.000), overloaded economic and family burden(p=0.018), marital functioning(p<0.000) and family functioning(p<0.00). Logistic regression analysis indicated that irregular annual mammography screening(OR=7.431 ; 95% CI 2.407-22.944) or a lack of screening(OR=25.299 ; 95% CI 7.855-81.482) and a dysfunctional marital relationship(OR=4.772 ; 95% CI 2.244-10.145) were significantly associated with advanced stage at diagnosis of breast cancer. Conclusions : We reconfirmed screening behavior to be a risk factor for delayed diagnosis of breast cancer. Our findings also emphasized the importance of psychosocial factors such as marital functioning in early detection of breast cancer. Psychiatric consultation in the area of martial functioning could be beneficial for increasing early detection in breast cancer.

• Sleep Medicine and Psychophysiology
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• v.8 no.2
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• pp.107-112
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• 2001

Introduction: Narcolepsy, a sleep disorder characterized by excessive daytime sleepiness and cataplexy, is known to be closely associated with the human leukocyte antigen (HLA) DQB1*0602. Several studies have suggested that HLA-DQB1*0602 is strongly linked with narcolepsy-cataplexy. However, no studies have yet been made on whether HLA DQB1*0602 is associated with Korean patients with narcolepsy. This study was designed to investigate the frequency of HLA-DQB1*0602 of Korean patients with narcolepsy. Methods: Twenty patients were selected (mean age: $28.2{\pm}3.0$, 11 men and 9 women). The patients were confirmed to have narcolepsy by the overnight polysomnography and multiple sleep latency test (MSLT) in addition to their clinical history and symptoms at St. Vincent's Hospital and Korea University Hospital Sleep Disorders Clinic. Any subjects co-morbid with other hypersomnic sleep disorders such as sleep apnea or periodic limb movements during sleep were excluded. Clinical data was collected through a semi-structured interview for narcoleptic patients. All patients and 21 control did HLA typing for the presence of DQB1*0602. Results Obtained were as Follows: 1) Mean sleep latency was 2.4 (${\pm}2.0$ minutes) and mean frequency of sleep-onset REM period was 3.0 (${\pm}1.6$) by MSLT. 2) Characteristic symptoms of narcolepsy investigated were as follows: excessive daytime sleepiness (100%), cataplexy (100%), sleep paralysis (60%), hypnagogic hallucination (70%) and disrupted nocturnal sleep (75%). 3) Strong emotional expression such as laughing (80%) and joking (70%) triggered cataplexy which affects the knee and leg region (80%) and jaw region (30%). 4) HLA-DR2 was found in 90% of patients and 35% in controls. The frequency of HLA-DQB1*0602 in patients and controls was 90%, and 24%, respectively. Conclusions: These results, which exhibit high HLA-DQB1*0602 expression in Korean patients with narcolepsy, suggest that HLADQB1*0602 could be a strong genetic marker in narcolepsy.

• Journal of Korean Home Economics Education Association
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• v.29 no.1
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• pp.71-92
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• 2017

The purpose of the present study is to investigate the experiences of original family and social relationships in single women. Semi-structured in-depth interviews were arranged with 18 single women who met the criteria for the present research purpose. We considered only those responses of the interviewees that are directly related to their experiences of original family and social relationships, where the collected data were analyzed in three steps by methods of thematic analysis. As a result of the analysis, the experiences of original family and social relationships in single women could be grouped into six main clusters of themes which may be labeled as (1) themes centered on 'Family attachment', (2) themes centered on 'Special People' and (3) themes centered on 'Estrange relative relationship'. (4) themes centered on 'Small social life', (5) themes centered on 'Absence of a social relationshipship', (6) themes centered on 'Drive for freedom'. Among the first category of themes of 'Family attachment', we have found three sub-themes such as 'Adult Baby under parents' care', 'Confirm of single life', 'Intricate family relations'. As for the second category of themes 'Special People', three sub-themes have been found including 'I Only Love Mom.', 'Sister friend', 'My lovely nephew or niece'. And for the third category of only one theme 'Estranged relative relationship'. And for the fourth category of themes 'Small social life', there were found four sub-themes which include 'Relationship at work', 'Chat with friends', 'Keep oneself aloof from the opposite sex', 'Singles gather together'. And for the fifth category of themes 'Absence of a social relationshipship', there were found three sub-themes which include 'Alone than meeting', 'Lazism', 'Tight daily lives'. And for the final category of themes 'Drive for freedom', there were found two sub-themes which include 'Caution for attachment', 'Caution for entanglement'. In all, there are sixteen sub-themes to consider. On the basis of these results, we presented some conclusions on the experiences of original family and social relationships in single women. We also presented some implications of these results on population education and future research.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.227-252
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• 2018

The evolution of instant communication has mirrored the development of the Internet and messenger applications are among the most representative manifestations of instant communication technologies. In messenger applications, senders use emoticons to supplement the emotions conveyed in the text of their messages. The fact that communication via messenger applications is not face-to-face makes it difficult for senders to communicate their emotions to message recipients. Emoticons have long been used as symbols that indicate the moods of speakers. However, at present, emoticon-use is evolving into a means of conveying the psychological states of consumers who want to express individual characteristics and personality quirks while communicating their emotions to others. The fact that companies like KakaoTalk, Line, Apple, etc. have begun conducting emoticon business and sales of related content are expected to gradually increase testifies to the significance of this phenomenon. Nevertheless, despite the development of emoticons themselves and the growth of the emoticon market, no suitable emoticon recommendation system has yet been developed. Even KakaoTalk, a messenger application that commands more than 90% of domestic market share in South Korea, just grouped in to popularity, most recent, or brief category. This means consumers face the inconvenience of constantly scrolling around to locate the emoticons they want. The creation of an emoticon recommendation system would improve consumer convenience and satisfaction and increase the sales revenue of companies the sell emoticons. To recommend appropriate emoticons, it is necessary to quantify the emotions that the consumer sees and emotions. Such quantification will enable us to analyze the characteristics and emotions felt by consumers who used similar emoticons, which, in turn, will facilitate our emoticon recommendations for consumers. One way to quantify emoticons use is metadata-ization. Metadata-ization is a means of structuring or organizing unstructured and semi-structured data to extract meaning. By structuring unstructured emoticon data through metadata-ization, we can easily classify emoticons based on the emotions consumers want to express. To determine emoticons' precise emotions, we had to consider sub-detail expressions-not only the seven common emotional adjectives but also the metaphorical expressions that appear only in South Korean proved by previous studies related to emotion focusing on the emoticon's characteristics. We therefore collected the sub-detail expressions of emotion based on the "Shape", "Color" and "Adumbration". Moreover, to design a highly accurate recommendation system, we considered both emotion-technical indexes and emoticon-emotional indexes. We then identified 14 features of emoticon-technical indexes and selected 36 emotional adjectives. The 36 emotional adjectives consisted of contrasting adjectives, which we reduced to 18, and we measured the 18 emotional adjectives using 40 emoticon sets randomly selected from the top-ranked emoticons in the KakaoTalk shop. We surveyed 277 consumers in their mid-twenties who had experience purchasing emoticons; we recruited them online and asked them to evaluate five different emoticon sets. After data acquisition, we conducted a factor analysis of emoticon-emotional factors. We extracted four factors that we named "Comic", Softness", "Modernity" and "Transparency". We analyzed both the relationship between indexes and consumer attitude and the relationship between emoticon-technical indexes and emoticon-emotional factors. Through this process, we confirmed that the emoticon-technical indexes did not directly affect consumer attitudes but had a mediating effect on consumer attitudes through emoticon-emotional factors. The results of the analysis revealed the mechanism consumers use to evaluate emoticons; the results also showed that consumers' emoticon-technical indexes affected emoticon-emotional factors and that the emoticon-emotional factors affected consumer satisfaction. We therefore designed the emoticon recommendation system using only four emoticon-emotional factors; we created a recommendation method to calculate the Euclidean distance from each factors' emotion. In an attempt to increase the accuracy of the emoticon recommendation system, we compared the emotional patterns of selected emoticons with the recommended emoticons. The emotional patterns corresponded in principle. We verified the emoticon recommendation system by testing prediction accuracy; the predictions were 81.02% accurate in the first result, 76.64% accurate in the second, and 81.63% accurate in the third. This study developed a methodology that can be used in various fields academically and practically. We expect that the novel emoticon recommendation system we designed will increase emoticon sales for companies who conduct business in this domain and make consumer experiences more convenient. In addition, this study served as an important first step in the development of an intelligent emoticon recommendation system. The emotional factors proposed in this study could be collected in an emotional library that could serve as an emotion index for evaluation when new emoticons are released. Moreover, by combining the accumulated emotional library with company sales data, sales information, and consumer data, companies could develop hybrid recommendation systems that would bolster convenience for consumers and serve as intellectual assets that companies could strategically deploy.