• Knowledge Management Research
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• v.19 no.4
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• pp.171-185
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• 2018

Studies on online review have carried out analysis of the rating and topic as a whole. However, it is necessary to analyze opinions on various dimensions of service quality. This study classifies reviews of healthcare services into service quality dimensions, and proposes a method to identify words that are mainly referred to in each dimension. Service quality was based on the dimensions provided by SERVQUAL, and patient reviews have collected from NHSChoice. The 2,000 sentences sampled were classified into service quality dimension of SERVQUAL and a method of extracting important keywords from sentences by service quality dimension was suggested. The RAKE algorithm is used to extract key words from a single document and an index is considered to consider frequently used words in various documents. Since we need to identify key words in various reviews, we have considered frequency and discrimination (IDF) at the same time, rather than identifying key words based only on the RAKE score. In SERVQUAL dimension, we identified the words that patients mentioned mainly, and also identified the words that patients mainly refer to by review rating.

• International Journal of Knowledge Content Development & Technology
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• v.13 no.2
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• pp.35-50
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• 2023

Assistive technologies are necessary for ensuring independent living and equal participation in an information-based society for people living with disabilities (PLWD). This study investigated the assistive technology preference of students with visual disabilities, and the approach academic libraries should adopt in procuring assistive technologies. The study adopted a quantitative research method, with a survey as the research design. The study was conducted among visually disabled students in four public universities in Nigeria. Using the total enumeration method, an online questionnaire was used to obtain information from 151 students who voluntarily agreed to partake in the survey. The study found that access to electronic resources, scanning/conversion of print resources to electronic formats and access to information on the Web were among the technology-based services provided to visually disabled students. COBRA, ZoomText, Supernova and Dragon Naturally Speaking are the most preferred assistive technologies (software). At the same time, handheld scanners ($\bar{x}=4.40$) and braille keyboards ($\bar{x}=4.60$) are the most preferred assistive technologies in the hardware category by visually challenged students. The study further revealed that the library management should consult with students living with a visual disability before procuring assistive technology. Findings from this study thus provide further evidence of the need for librarians to fulfil their moral and legal obligation in advocating the provision of assistive technologies. Library administrators and university stakeholders should expedite actions on meeting the assistive technology needs of people living with visual disabilities. These actions should transcend mere policy formulation on the provision of assistive technologies to restructuring their services and spaces to accommodate assistive technologies as information service delivery tools for people with visual disabilities.

• Journal of Information Technology Services
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• v.9 no.3
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• pp.123-144
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• 2010

As knowledge becomes a critical success factor of companies nowadays, lots of rule-based systems have been and are being developed to support their activities. Large number of rule-based systems serve as Web sites to advise, or recommend their customers. They usually use a backward chaining inference algorithm based on backtrack to implement those interactive Web-enabled rule-based systems. However, when the users like customers are using these systems interactively, it happens frequently where the users do not know some of the answers for the questions from the rule-based systems. We are going to design a backward chaining inference methodology considering unknown facts based on backtrack technique. Firstly, we review exact and inexact reasoning. After that, we develop a backward chaining inference algorithm for exact reasoning based on backtrack, and then, extend the algorithm so that it can consider unknown facts and reduce its search space. The algorithm speeded-up inference and decreased interaction time with users by eliminating unnecessary questions and answers. We expect that the Web-enabled rule-based systems implemented by our methodology would improve users' satisfaction and make companies' competitiveness.

• Korean Journal of Hospice Care
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• v.5 no.1
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• pp.14-25
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• 2005

This study was conducted to examine the present state, types of services, difficulties, education programs, motivation, satisfaction and attitude of hospice volunteers and also to suggest supporting programs for the volunteer. For these purposes, a questionnaire was distributed among the 200 hospice volunteers in ten hospice organizations in Daejeon and Chungcheong province. In this research, 85.5% of the respondents were women and most of them were housewives in their forties and fifties. The majority of hospice volunteers had an education background of more than high school. Christianity (94%) was the dominant religion of volunteers. Among the service area of the hospice, emotional caring, such as listening closely and establishing empathy were the most frequently done by the respondents and the next one was spiritual care. Hospice volunteers who had started with altruistic motivation show more dynamic activities in emotional, spiritual, physical caring and so on, than those with non-altruistic motivation. Most of the respondents expressed that they felt a hospice volunteer was valuable. However they had a hard time to overcome the sorrow coming from sharing empathy with the dying patients. Those who had started with altruistic motivation usually took part in two times per a week and had more positive attitude. Volunteers who had been working more than five years showed better attitude than those who had been working less than three years. The longer the voluntary services, the more positive attitude experienced by volunteers. Hospice volunteers encountered the most considerable difficulty with lack of background knowledge and their actual capability. Insufficiency of time was the next reason for the considerable difficulty of the hospice volunteer. On the other hand, those who served more than twice per week replied that lack of background knowledge and their capability were the least considerable difficulty. Insufficiency of time was the reason of difficulty for male volunteers, as well as for females under thirty and those in their forties and fifties respectively. Generally most of the hospice volunteers (70%) were satisfied with their services and they usually satisfied with physical caring, spiritual caring, hospice's family caring. The less difficulty in voluntary services, more satisfaction for the volunteers in the end. There is a positive correlation between a attitude of the hospice volunteer and frequency of voluntary services while the volunteers' difficulty affect negatively their attitude as well as the frequency of voluntary services. Most of the hospice volunteers want to have more education about basic skills, volunteer's attitude and role, spirituality, the way of attending on the hospice and so on. Most of them considered discussion and sharing different cases as the most effective method. They also wish to had more supporting programs for the hospice volunteers(in the order of their needs) such as regular events, newsletters, personal concern, social meetings among the volunteers, insurance and minimum expenses. Based on the study results, more programs should be run in order to activate the voluntary services regardless of their gender and education background. A continuous practical supporting policy and education programs are required in order to provide special education and training courses considering every field of voluntary services. Expanding the role of the volunteers allows them more opportunities to take part in voluntary services and th activate participation. It is necessary to establish a new hospice system as a part public medical system, which can not only facilitate the voluntary services for a hospice but also enhance professional hospice volunteers. Finally, experts are needed to operate the voluntary services effectively.

• 지역과문화
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• v.6 no.1
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• pp.1-27
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• 2019

The study explores the way how sharing economy services of accommodation and car rental, one of social issues actively discussed today are settled in the process of sharing economy building in local destinations. The result shows that average consumers expressed their favorable attitude toward the sharing economy services. However, the consumer's attitude didn't directly affect the consumer's positive perception that there is need for local sharing economy service network and the educational system for local residents and the network helps the economy. Instead consumer's knowledge of sharing economy services and their eagerness to learn the knowledge as parameters related the consumer's attitude to their perceptions; the consumer's attitude affected indirectly their perceptions. The study shows that local communities and their residents' efforts are not enough simply to activate the sharing economy services in the development process of tourist resources, while it asks consumers to learn information and knowledge of the sharing economy. Therefore, consumers and residents should interact and communicate closely with each other to help the development of local destinations and tourist resources based on sharing economy.

• Proceedings of the Korea Contents Association Conference
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• 2005.05a
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• pp.237-243
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• 2005

As the well-being or quality of life of a population is the common interests, a lot of people are interested in wines. They are willingness to share wine knowledges with other wine experts on the web. Therefore the study for information retrieval system and inference engines are needed to get relevant search results about wine types and suitable wines for given foods. This paper discusses an approach to the architecture of agent-based semantic web services in wine ontology.

• Journal of Information Technology Services
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• v.7 no.3
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• pp.271-286
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• 2008

The core of the semantic web is ontology, which supports interoperability among semantic web applications and enables developer to reuse and share domain knowledge. It used a variety of fields such as Information Retrieval, E-commerce, Software Engineering, Artificial Intelligence and Bio-informatics. However, the reality is that various errors might be included in conceptual hierarchy when developing ontologies. Therefore, methodologies and supporting tools are essential to help the developer construct suitable ontologies for the given purposes and to detect and analyze errors in order to verify the inconsistency in the ontologies. In this paper we propose a new approach for ontology error detection based on the Concept Lattices of Formal Concept Analysis. By using the tool that we developed in this research, we can extract core elements from the source code of Ontology and then detect some structural errors based on the concept lattices. The results of this research can be helpful for ontology engineers to support error detection and construction of "well-defined" and "good" ontologies.

• Journal of Information Technology Services
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• v.10 no.1
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• pp.135-149
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• 2011

In this paper, we propose the high-risk group detection model for patients with high blood pressure using case-based reasoning. The proposed model can be applied for public health maintenance organizations to effectively manage knowledge related to high blood pressure and efficiently allocate limited health care resources. Especially, the focus is on the development of the model that can handle constraints such as managing large volume of data, enabling the automatic learning to adapt to external environmental changes and operating the system on a real-time basis. Using real data collected from local public health centers, the optimal high-risk group detection model was derived incorporating optimal parameter sets. The results of the performance test for the model using test data show that the prediction accuracy of the proposed model is two times better than the natural risk of high blood pressure.

• Journal of Korea Multimedia Society
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• v.25 no.11
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• pp.1557-1563
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• 2022

Currently Spatial Data is collected and processed in various methods, and its usability is very high. However, the existing Spatial Data analysis Software usually requires professional knowledge in the collection, refinement, and application of spatial Date, making it difficult to access and apply it. Therefore, this study established a new WebGIS platform with improved accessibility and usability to solve these problems. This platform supports various services such as master map sharing, spatial data generation, automatic coordinate system conversion, WMS issuance, grid generation, and grid analysis. These services increase operational convenience, such as simplifying repetitive tasks and automatically expressing text files. While it is believed that non-experts can easily and conveniently because of them to simplify and express the results. In addition, it is judged to have high accuracy and reliability compared to the analysis results using the existing Open Source-based GIS software.

• Journal of Internet Computing and Services
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• v.16 no.6
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• pp.39-46
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• 2015

Knowledge space theory is a theory that provides a guidelines for human learners' possible education decisions and has been used in various educational environment. However, traditional methodologies using the knowledge space theory have always depended on handwork system and it is necessary to learn programming language such as Visual Basic and R, causing time consuming situations. In order to overcome those issues on the environment of education we propose a new Knowledge Structure Analysis System that not just analyzes learners' knowledge structures automatically but to provide critical learning path for the learners based on knowledge space theory. Proposed system is implemented by using rApache generating critical learning path computing Chi-square value. This provides an automatic way of analyzing knowledge structure in learners' knowledge space and shows systematic reviews for the knowledge space.