• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.263-269
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• 2017

'Goal Model' is core knowledge of 'Autonomic Control System' suggested to minimize human interference in system management. 'Autonomic Control System' performs 'Monitoring-Analysis-Plan-Execution', that is the four step of 'Autonomic Control', based on 'Goal Model'. Therefore, it is necessary to quantify achievement ratio of 'Goal Model' of target system. Thus, this paper present 'Probabilistic Evaluation of Goal Model' for methodology how to quantify achievement ratio of 'Goal Model'. It comprises 3-steps including 'Goal modeling and weighting', 'Goal model monitoring', 'Goal model evaluation and analysis'. Through these research, we provide core knowledge for 'Autonomic Control system' and it is possible to increase the reliability of system by evaluating 'Goal model' with applying weight. As case study, we apply 'Goal model' to a 'Smart IoT Kit' and we demonstrate the validity of the suggested research.

• Journal of the Korea Society of Computer and Information
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• v.15 no.5
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• pp.1-11
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• 2010

The success of semantic web depends largely on the semantic annotation which systematizes knowledge for the construction and production of ontology. Therefore, the efficiency of semantic annotation is very important in order to change many knowledge expressions and generate into ontology instances. In this paper, we presents a generation system of rule-based ontology instances which are produced accurately and efficiently via semantic annotation in conventional web sites. In conventional studies, the manual process is necessary for finding relevant information, comparing it with ontology, and entering information. We propose a new method that manages keyword data regarding extracted information and rule information separately. Thus, it is quite practical to extract information efficiently from various web documents by adding a small number of keywords and rules. The proposed method shows the possibility of ontology instance generation which reuses the rules and keywords from the various websites.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.6
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• pp.4176-4184
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• 2015

Cost Estimate for alternative in design phase of construction become criterion for profitability and feasibility analysis of projects. Initial design phase performed schematic estimate based on similar data in the past. The quantity take-off according to estimators experience and calculation method are occurred different or missing. IT (Information Technology) technology evolution has been promoting BIM technology in construction. It is changing the paradigm of planning, design, construction and maintenance phase throughout the construction project. A number of studies have been attempted to apply BIM technology in the construction. In this paper, we propose schematic estimation framework linking standard format IFC (Industry Foundation Classes) and estimate related knowledge. As a result, it performs a cost prediction for decision-making in the design phase, and expected to overcome the limitations of previous studies. In addition, it is possible actively coping with changes.

• KIPS Transactions on Computer and Communication Systems
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• v.2 no.8
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• pp.357-368
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• 2013

Our society has evolved into a fully connected society in a mixed reality environment enabling various knowledge sharing / management / control / creation due to the expansion of broadband ICT infrastructure, smart devices, cloud services and social media services. Therefore cyber threats have increased with the convenience. The society of the future can cause more complex and subtle problems, if you do not have an effective response to cyber threats, due to fusion of logical space and physical space, organic connection of the smart object and the universalization of fully connected society. In this paper, we propose the strategy to build knowledge-base as the basis to actively respond to new cyber threats caused by future various environmental changes and the universalization of fully connected society.

• Knowledge Management Research
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• v.22 no.3
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• pp.55-73
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• 2021

The sharing economy is considered as a collaborative consumption which enables customers to share unused resources. This study investigated the key factors affecting consumer loyalty in the context of sharing accommodation. Emotions, perceived value and self-image consistency were posited as key antecedents of enhancing customer loyalty. Authentic experience, home amenities, and price fairness were also considered as Airbnb's selection attributes. Airbnb was selected a survey target because it is the largest company in the domain of shared accommodation market. The research model was analyzed for 294 Airbnb customer through structural equation models. Additionally, this paper examine Airbnb customers' experiences by topic modelling method posted on the Naver blog. Based on the understanding of the key factors affecting customer loyalty to sharing accommodation, the analysis results contribute to establish effective marketing and operation strategies by enhancing customer experience.

• Journal of Digital Convergence
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• v.17 no.7
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• pp.167-177
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• 2019

Innovation of genomics technology has recently been extended to Direct To Consumer Genetic Test (DTC-GT) which consumers purchase without requesting the service on medical institutes. In 2016, Korea has introduced the DTC-GT but the market size is small comparing to global market. This study analyzes consumers' purchase intentions and purposes and their influential factors based on 2018 consumer survey. According to the results of binominal and multinominal logistic regression, knowledge after purchase, attitude on medical care benefit, health status are statistically significant on purchase intentions. Purchase purposes are different on age group and related on medical care rather than health care. These results imply that DTC-GT is needed to improve consumer satisfaction, re-purchase and effective care service. This paper is expected to contribute on strategic directions for the new DTC-GT product development.

• Journal of Industrial Convergence
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• v.17 no.1
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• pp.17-24
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• 2019

The purpose of this study is to confirm the effects of the contents of the recording lectures through the automatic recording system of the nursing students on the program outcomes of the pediatric nursing. The study was designed using a nonequivalent control group pretest-posttest design. the subject of this study consisted of 104 nursing students(the experimental group of 52 and the control group of 52). Data were analyzed by ${\chi}^2$ test and independent t-test using SPSS 22.0. The effect of the first program outcome(PO1. We can integrate nursing skills based on various the liberal arts and the major knowledge into practice) of the experimental group was not confirmed, but the fifth program outcome(PO5. We can apply critical thinking based nursing processes and implement clinical inferences) was significantly higher than that of the control group. It is significant that this study presented the data to develop the class design method to improve the program outcomes of the nursing student at the present time which is operating the program outcomes based curriculum for nurse with core competency.

• Journal of the Korea Society of Computer and Information
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• v.29 no.7
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• pp.81-88
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• 2024

Despite the rapid growth of the generative AI market and significant interest from domestic companies and institutions, concerns about the provision of inaccurate information and potential information leaks have emerged as major factors hindering the adoption of generative AI. To address these issues, this paper designs and implements a question-answering system based on the Retrieval-Augmented Generation (RAG) architecture. The proposed method constructs a knowledge database using Korean sentence embeddings and retrieves information relevant to queries through optimized searches, which is then provided to the generative language model. Additionally, it allows users to directly manage the knowledge database to efficiently update changing business information, and it is designed to operate in a private network to reduce the risk of corporate confidential information leakage. This study aims to serve as a useful reference for domestic companies seeking to adopt and utilize generative AI.

• Spatial Information Research
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• v.18 no.5
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• pp.83-92
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• 2010

Recently, as the Geospatial Web is combined with the Semantic Web in order to keep pace with the recent trends of information technology emphasizing interoperability, intelligence and individualization, the Geo Semantic Web was proposed, which is an intelligent geographical information Web service technology that can provide users with suitable information by connecting and integrating various types of spatial information and extensive aspatial information on the Web efficiently. For the Geo Semantic Web service, we need to develop Geo Ontology processing technologies that enable computers to process knowledge and information scattered around in the Web environment automatically. However, standards for Geo Ontology processing technologies have nod been established yet, and standardization organizations and various groups and agencies are conducting relevant studies. This paper analyzed various base theories and technologies related to Geo Ontology and developed a Geo Semantic Web system. The Geo Semantic Web system comprises Query Processing Manager that analyzes and processes Geo Semantic queries and manages sessions, Ontology Manager that generates and queries Geo Ontology and extracts spatial/aspatial data, and Clients. Finally, this paper proved the utility of the Geo Semantic Web system by applying it to a hypothetical scenario where Geo Semantic queries are required.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.111-134
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• 2017

This study aims to identify factors to the effectiveness of librarians' continuing education, which is regarded as learning transfer, and to examine the relationship between the effectiveness and the factors identified. Learning transfer is defined as an intention to apply the lessons learned in the education to the learner's practice. For this purpose, a questionnaire survey was conducted to investigate continuing education experiences of university librarians. Findings indicate that characteristics of individual librarians, educational program, and organizational environment have to be taken into consideration to manage librarians' continuing education effectively. Therefore, it is suggested that the university library as an organization should control pre- and post-activities of continuing librarians' education at the library in order to maximize the learning transfer as the effectiveness of the education. Suggestions are developed with factors to the learning transfer to improve the effectiveness.