• International Journal of Computer Science & Network Security
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• v.23 no.8
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• pp.146-158
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• 2023

Smart City is gaining attention with the advancement of Information and Communication Technology (ICT). ICT provides the basis for smart city foundation; enables us to interconnect all the actors of a smart city by supporting the provision of seamless ubiquitous services and Internet of Things. On the other hand, Crowdsourcing has the ability to enable citizens to participate in social and economic development of the city and share their contribution and knowledge while increasing their socio-economic welfare. This paper proposed a hybrid model which is a compound of human computation, machine computation and citizen crowds. This proposed hybrid model uses knowledge-based crowdsourcing that captures collaborative and collective intelligence from the citizen crowds to form democratic knowledge space, which provision solutions in areas of civic innovations. This paper also proposed knowledge-based crowdsourcing framework which manages knowledge activities in the form of human computation tasks and eliminates the complexity of human computation task creation, execution, refinement, quality control and manage knowledge space. The knowledge activities in the form of human computation tasks provide support to existing crowdsourcing system to align their task execution order optimally.

• Journal of Information Technology Services
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• v.12 no.4
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• pp.461-472
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• 2013

Today, In the Service Industry are more getting a lot of convergence of IT utilization. And global IT companies are strengthening that platform based Services Ecosystems. These business in the field, Ecosystem Competitive strategy is difficult to imitate. And this strategy is generated organic Business Model that a by Competitive-Predominance to brings. In addition, the added value of the Service Industry is taken, a new type of job creation by the ripple-effect is huge. However, existing the Ecosystem Theory of Business is a lack of research on the use. Thus, Ecosystem Construction conditions is very difficult. This study is try to successful Platform Case's Analysis such as Apple, Google, Amazon, eBay's. These Ecosystems is that want to know the Major attributes. At first, would be analyzing to previous research, the Service and Knowledge Services' major attributes and Ecosystem studies' major attributes to grasp. Then, from a Group of Experts is to assess the importance. Finally, according to each Platform, examined the Correlation of Major Attributes.

• Knowledge Management Research
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• v.10 no.2
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• pp.85-103
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• 2009

Web 2.0, characterized as openness, sharing, and participation, has enabled Internet users to easily generate a variety of contents, and to share them through Web 2.0 services. Knowledge search service (KSS) is positioning itself as one of typical Web 2.0 services. Yet, few studies have sharpened our understanding of users' knowledge sharing behavior in the KSS environment. In order to address this knowledge void, this paper attempts to explore antecedents of their usage behavior in the KSS environment. Typically, they utilize stored knowledge and share their knowledge simultaneously. Considering this characteristic, our study regards service usage intention and knowledge sharing intention as final dependent variables. This study advances a research model based on Bhattacherjee's expectation-confirmation model, which is expanded by incorporating trust belief. Because of the openness of KSS, trust belief is believed to play a critical role in forming users' service usage intention and knowledge sharing intention. Furthermore, this study examines the difference of the antecedents' effects in terms of users' gender. We collected data from 275 respondents who have experience in using KSS. PLS (partial least squares) was employed for the analysis of the data. Analysis results confirm the important role of user satisfaction and trust belief in the formation of users' service usage intention and knowledge sharing intention. More importantly, trust belief has a more salient effect on knowledge service usage intention than user satisfaction. This study also shows the moderating role of users' gender. Finally, this paper provides managerial guidance on strategic planning aimed at improving users' service usage intention and knowledge sharing intention in the KSS environment.

• Journal of Microbiology and Biotechnology
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• v.34 no.5
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• pp.994-1002
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• 2024

The rise in plant-based food consumption is propelled by concerns for sustainability, personal beliefs, and a focus on healthy dietary habits. This trend, particularly in alternative meat, has attracted attention from specialized brands and eco-friendly food companies, leading to increased interest in plant-based alternatives. The dominant plant-based proteins, derived mainly from legumes, include soy protein isolates, which significantly impact sensory factors. In the realm of plant-based fats, substitutes are categorized into fat substitutes based on fats and fat mimetics based on proteins and carbohydrates. The production of these fats, utilizing gums, emulsions, gels, and additives, explores characteristics influencing the appearance, texture, flavor, and storage stability of final plant-based products. Analysis of plant-based proteins and fats in hamburger patties provides insights into manufacturing methods and raw materials used by leading alternative meat companies. However, challenges persist, such as replicating meat's marbling characteristic and addressing safety considerations in terms of potential allergy induction and nutritional supplementation. To enhance functionality and develop customized plant-based foods, it is essential to explore optimal combinations of various raw materials and develop new plant-based proteins and fat separation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2008.04a
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• pp.87-88
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• 2008

As an information service system based on semantic web technology, $OntoFrame^{(R)}$ takes aim at a framework for providing analysis and fusion services of academic information. It currently consists of three parts: ontologies representing knowledge schema derived from academic information, $OntoURI^{(R)}$ which makes academic information into knowledge, and $OntoReasoner^{(R)}$ which performs inference and search on the knowledge. Unlike existing search engines which provides simple search services, our system provides, based on semantic web technology, several semantic and analytic services such as year-based topic trends in academic information, related topics, topic-based researchers and institutes, researcher network, statistics and regional distribution of academic information.

• Journal of the Korea Knowledge Information Technology Society
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• v.12 no.1
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• pp.69-78
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• 2017

KOIN (Korean medicine 人, http://www.koin.re.kr) is a Korean medicine knowledge portal developed for users who are interested in Korean medicine to share relevant information. The purpose of the present study is to seek methods for advancing the quality of the contents and services of KOIN to secure future users of the portal services before fully initiating the KOIN service. The crowd testing method was applied to test the functionality and usability of the current KOIN service, and domestic and international websites providing similar services were investigated and analyzed. About 150 errors were found in this functional testing procedure, but the identified functional problems were all corrected. An average score of 3.33 was calculated in the usability test, in which the reliability and the playfulness showed the highest and lowest score, respectively. We in this paper surveyed the 15 relevant websites with respect to KOIN in the traditional medicine and the modern medicine fields. The strengths and weaknesses of similar websites were analyzed to improve the KOIN services. In particular, it is shown that the evidence-based Korean medicine knowledge is KOIN's biggest strength. Users' needs and demand for the KOIN services will be continuously gathered to provide the Korean medicine knowledge services that the users require.

• Journal of Information Technology Services
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• v.13 no.4
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• pp.19-43
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• 2014

Categorization means the process labeling or identifying an object based on what people already know or its similarity for people to be easily perceptible in external environment. If it is categorized, it is schematically conjectured from typical characteristic of the category. In this sense, the categorization of new products has an important effect upon the market performance. Nevertheless, the categorization of innovative new products is not easy and occasionally very ambiguous. In this study, we discuss how to strengthen the categorization strategy of new hybrid IT products through complementary bundling. The model of this study is based on Technology Acceptance Model (TAM) with resistance variable and verifies the statistical significance by undertaking a survey on consumers' awareness. In addition, we review the moderating effects of prior knowledge in the adoption process of complementary bundling. Through this analysis, we find out the structural relationship among the factors affecting adoption of complementary bundling. Also, it show that the influence of prior knowledge in respect of the adoption process is greater than others in case that there exists significant heterogeneity among strategic categories and complements. In conclusion, these findings suggest the following managerial implication. The categorization strategy of new hybrid IT product can be enhanced by complementary bundling, but the suitability among strategic category and complements should be evaluated exhaustively.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.1
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• pp.13-20
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• 2011

LBS services is a user-centric location based information service, where its importance has been discussed as an essential engine in an Ubiquitous Age. We aimed to develop an ontology reasoning system that enables users to derive recommended results suitable through selection standard reasoning according to various users' preferences. In order to achieve this goal, we designed the Geo-ontology system which enabled the construction of personal characteristics of users, knowledge on personal preference and knowledge on spatial and geographical preference. We also integrated a function of reasoning relevant information through the construction of Cost Value ontology using multi-criteria decision making by giving weight according to users' preference.

• Journal of Korean Library and Information Science Society
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• v.45 no.4
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• pp.253-276
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• 2014

The diversification of Korean society with a large influx of migrant workers, international marriages, and international students calls for an attention to the importance of cultural competence of Library and Information Science sector in order to respond effectively and appropriately to the needs of immigrants who have diverse cultural backgrounds. In regard to these circumstances, this study is designed to develop the components of cultural competency needed by librarians. For this, this study collected its data through literatures review and interviews with librarians who are implementing services for immigrants in multicultural libraries and with experts who have experienced researches based multicultural services or involved with the management of multicultural families and migrant workers. As a result, the cultural competency components emerging from literatures review and interviews were divided into three parts ; multicultural attitude, multicultural knowledge and multicultural skills. And detailed components of three parts of cultural competency were specifically multicultural attitude, knowledge of multicultural groups, knowledge of multicultural services, development of collections, programs, and services, service delivery, language diversity, and professional education and workforce diversity.

• Journal of Forest and Environmental Science
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• v.33 no.2
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• pp.91-96
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• 2017

Trees at farm are considered as one of the option to reduce poverty of smallholders by contributing to livelihood security and resilience to climate change. A perception based study was conducted to assess the cultural importance of tree species suitable for practicing agroforestry in randomly selected agroforestry-dominated villages in Alaknanda valley of Western Himalayas during 2015-16. Semi-structured questionnaire was used to collect primary data on the provisioning services of major agroforestry tree species in randomly surveyed 87 households. Based on cultural importance (CI) index value, the most suitable agroforestry tree species was Morus alba (3.32) followed by Celtis australis (3.22), Mangifera indica (3.01), Grewia optiva (2.79), Toona ciliata (2.22), Bauhinia variegata (2.08), Leucaena leucocephala (1.76) and Emblica officinalis (1.74). The preference of use has also been governed based on their indigenous knowledge. This study will also facilitate in evaluating the importance of provisioning services of agroforestry tree species in improving livelihood as well as facilitates smallholder's resilience to climate change in Western Himalayas.