• Korean Journal of Construction Engineering and Management
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• v.11 no.4
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• pp.12-21
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• 2010

Construction companies recently have been highly interested in developing information system as following the advanced of IT technology. Especially, with advent of knowledge-based paradigm, Knowledge Management System(KMS) has been actively built. However, current KMS is not optimized and not satisfied because KMS is not integrated with existing information system and has problems of method of knowledge management. The objectives of this research is to develop integrated KMS, which synthesizes knowledge and functions of scattered information system. This research investigates current KMS and analyzes the requirements of KMS. Based on the requirements, the utilization of construction portal is suggested. And integrated knowledge management method, which has connections with applications in construction portal, is suggested and the system is developed.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.3
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• pp.241-245
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• 2001

The existing fuzzy traffic controllers construct the rule-base based on the intuitive knowledge and experience or the standard rule-base, but the rule-base constructed by the above methods has difficulty in representing exactly and detailedly the control knowledge of the export and the operator. Therefore, in this paper, we propose a method that can improve the performance of the fuzzy traffic control by designing the fuzzy traffic controller which represents the control knowledge more exactly. The proposed method so modifies the position and shape of the fuzzy membership function based on the input-output data clustering that the fuzzy traffic controller can represent the control knowledge more exactly. Our method use the rough control knowledge based on intuitive knowledge and experience as the evaluation function for clustering the input-output data. The fuzzy traffic controller designed by the our method could represent the control knowledge of the expert and the operator more exactly, and it outperformed the existing controller in terms of the number of passed vehicles and the wasted green-time.

• Journal of Information Technology Services
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• v.15 no.3
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• pp.173-193
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• 2016

Start-ups do not have enough resources such as financial capital and established customer base. Knowledge base of start-up team members is the crucial and unrivaled resource. This study tries to explicate the knowledge sharing process occurring in this knowledge base of start-up teams. Adopting the knowledge process view, detail process of knowledge sharing process model is constructed consisting of knowledge sharing speed, quality and quantity in a form of nomological net and empirically tested. In addition, preceding antecedents and consequential outcomes of this knowledge sharing is also posited as part of the research model : knowledge state of the team leading to team creativity and agility via the explicated knowledge sharing process model. Also, as this knowledge based view are triggered by the advance of IT in general, IT support is conceptualized as an antecedent and measures are operationalized. 230 data points were collected from start-up teams. Via data analysis using PLS, theoretical relationships from knowledge state, IT support, knowledge sharing process and knowledge consequences are found to be empirically supported except a few not supported. Most of all, team agility and team creativity are theoretically supported and empirically validated as critical outcome variables beyond performance measures. Though agility and creativity has been discussed as critical construct in start-up teams, it has not be much validated empirically. Also, interestingly, IT support are found to be significantly impacting the knowledge sharing process as expected. Academic contributions and implications for practice are discussed at the end with limitations and further research.

• The Journal of Information Systems
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• v.28 no.1
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• pp.41-72
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• 2019

Purpose Virtual communities (VCs) are becoming ever more important in these days, sometimes more than offline communities. Notably, they have become significant sources of knowledge sharing. Therefore, in order to foster a VC, it is very important to understand why people share their knowledge in the VC. Under this background, this paper aims at proposing the behavioral model best explains knowledge sharing activities in VCs. Design/methodology/approach We basically design our behavioral model for knowledge sharing in VCs based on theory of reasoned action (TRA). However, to understand knowledge sharing in VCs better, we specify knowledge sharing by dividing it into knowledge contribution and knowledge use. Also, instead of 'subjective norm', we adopt 'sense of virtual community (SOVC)' as a main social factor, which has been found to be important in the literature. We also include the antecedents such as 'quality of the shared knowledge', 'trust in community members', 'passion of the community leader', 'reciprocity', and 'self efficacy', which affect VC users' attitude towards knowledge sharing and SOVC. To test the hypotheses in our proposed model, we collected 253 valid surveys from the VC users. Structural equation modeling (SEM) using AMOS 23 is employed to assess the relationships proposed as the hypotheses. Findings Major findings are as follows. SOVC positively affects both intention to contribute knowledge and intention to use knowledge. And, trust in community members positively affects the attitude towards knowledge use and SOVC. The attitude towards knowledge use is also affected by the quality of the shared knowledge. Reciprocity is found to strongly positively affect the attitude towards knowledge contribution. However, passion of the community leader and self efficacy are found to have insignificant effect on SOVC and the attitude towards knowledge contribution respectively. Our study sheds a light on how to foster VCs from the perspective of knowledge management.

• The Journal of the Korea Contents Association
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• v.21 no.5
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• pp.592-606
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• 2021

This study examines the impact of knowledge management strategies and knowledge management determinants for each type of knowledge management of a company on knowledge activities, and because each company's situation and conditions are different, it is necessary to approach each knowledge management type. The analysis was conducted using the SPSS 18.0 program targeting 81 companies that have introduced knowledge management systems or knowledge management by categorizing them into technology-oriented and combined types. The result is that Initial types are based on changes in organizational structure and active adoption of information technology, and the Organizational knowledge centers use management systems (CEO support, performance compensation system, education and training system) and infrastructure building and information technology to maximize individual knowledge. The Information technology-oriented types rely more on information technology such as infrastructure building and information technology use rather than organizational knowledge. and the Combination type is understood as an educational and training system and decentralized organizational structure for the overall expansion of the organization. Through this study, effective and significant strategies, knowledge management determinants, and knowledge activities for each type were presented.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.6
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• pp.3641-3645
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• 2013

Background: Assessment of the nursing staff knowledge, attitude and practices about cervical cancer screening in a tertiary care teaching institute of rural India. Materials and Methods: A cross sectional, descriptive, interview-based survey was conducted with a pretested questionnaire among 262 staff nurses of a tertiary care teaching and research institute. Results: In this study 77% respondents knew that Pap smear is used for detection of cervical cancer, but less than half knew that Pap smear can detect even precancerous lesions of cervix. Only 23.4% knew human papilloma virus infection as a risk factor. Only 26.7% of the respondents were judged as having adequate knowledge based on scores allotted for questions evaluating knowledge about cervical cancer and screening. Only 17 (7%) of the staff nurses had themselves been screened by Pap smear, while 85% had never taken a Pap smear of a patient. Adequate knowledge of cervical cancer and screening, higher parity and age >30 years were significantly associated with self screening for cervical cancer. Most nurese held a view that Pap test is a doctor procedure, and nearly 90% of nurses had never referred a patient for Pap testing. Conclusions: The majority of nursing staff in rural India may have inadequate knowledge about cervical cancer screening, and their attitude and practices towards cervical cancer screening could not be termed positive.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.663-668
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• 2008

These days, computing systems need to be intelligent for satisfying general users' ambiguous requests. In order to make a system intelligent, several methods of managing knowledge have been proposed. Especially, in ubiquitous computing environment, where various computing objects are working together for achieving the given goal, ontology can be the best solutionfor knowledge management. In this paper, we proposed a novel reasoner processing ontology-based knowledge which is expressed in EOL. As this EOL reasoner uses less computing resource, it can be easily adapted to various computing objects in ubiquitous computing environment providing easy usability of knowledge.

• Knowledge Management Research
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• v.21 no.1
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• pp.99-116
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• 2020

Text is the most widely used means of exchanging or expressing knowledge and information in the real world. Recently, researches on structuring unstructured text data for text analysis have been actively performed. One of the most representative document embedding method (i.e. doc2Vec) generates a single vector for each document using the whole corpus included in the document. This causes a limitation that the document vector is affected by not only core words but also other miscellaneous words. Additionally, the traditional document embedding algorithms map each document into only one vector. Therefore, it is not easy to represent a complex document with interdisciplinary subjects into a single vector properly by the traditional approach. In this paper, we introduce a multi-vector document embedding method to overcome these limitations of the traditional document embedding methods. After introducing the previous study on multi-vector document embedding, we visually analyze the effects of the multi-vector document embedding method. Firstly, the new method vectorizes the document using only predefined keywords instead of the entire words. Secondly, the new method decomposes various subjects included in the document and generates multiple vectors for each document. The experiments for about three thousands of academic papers revealed that the single vector-based traditional approach cannot properly map complex documents because of interference among subjects in each vector. With the multi-vector based method, we ascertained that the information and knowledge in complex documents can be represented more accurately by eliminating the interference among subjects.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.249-255
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• 2001

Different kinds of information are used when solving tasks that arise in the life cycle of an applied knowledge based system (KBS). Many of these tasks are still under investigation. Their solving methods are often researched independently of each other due to complexity of the tasks. As a result, systems that realize these methods turn out to be incompatible and therefore could not be used together in the lifecycle of a KBS. The following problem arises here: how to support the full life cycle of a KBS. This paper introduces a class of computer knowledge banks that are intended to support the full life cycle of KBSs. Primary tasks that arise in the full life cycle of a KBS are analyzed. The architecture of a knowledge bank of the introduced class is presented, including an Information Content, a Shell of the Information Content and a Software Content. General requirements on these components are formulated on the basis of the analysis. These requirements depend on the current state of understanding in the life cycle of KBSs.

• KIISE Transactions on Computing Practices
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• v.20 no.12
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• pp.676-681
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• 2014

In order to discern and classify high-quality slides, our research proposes a classification method that utilizes a knowledge structure containing information on the presentation slides. After analyzing whether our knowledge structure captures the content's quality information, we developed a classification method based on the knowledge structure produced from the analysis results. With the proposed method, we compared results classified by quality of presentation slides. Through this comparison, we verified that the slides in the high quality group could be classified and were able to retrieve high quality slides. The results show that, by utilizing the cognitive model of a knowledge structure, our method can increase the effectiveness of classification when search or recommendation is conducted mainly with high-quality slides.