• 디지털산업정보학회논문지
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• 제6권2호
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• pp.169-182
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• 2010

The purpose of the study is to prospect the application of knowledge awareness system in the use of the digital textbook which is one of the main educational political projects based on the exploration of the awareness theory for the computer-supported collaborative learning. To do this, first, knowledge awareness theory for computer-supported collaborative learning (CSCL) as a rationale for digital textbook which supports the collaborative learning was introduced. Second, three functionalities of knowledge awareness systems were extracted by analyzing the representative knowledge awareness tools of CSCL environment. Third, application prospects of knowledge awareness system toward the development and utilization of digital textbook were presented. The paper suggested the need of more researches such as the prototype development of digital textbook which applies the knowledge awareness system's functionalities and empirical researches which examine their effectiveness and efficiency.

• 한국실내디자인학회논문집
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• 제27호
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• pp.86-95
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• 2001

Many theorists argued that firms should obtain and their unique resources for sustained competitive advantage under the competitive business environment. Knowledge has been recognized as one of key strategic resource, which is scare, valuable and reasonably durable in both KM literature and practice. however, firms usually face difficulties in identifying which knowledge is a core strategic resource, so that they are wasting time and managerial energies by managing all of knowledge in an organization. This article is composed as follows, the definition of knowledge-management as the norm of the work process, the status arrangement of the knowledge-management system and the old information system of architecture and interior design, the knowledge-management system set-up method and model, and the knowledge creativity and the application culture make-up method. In particular, the present study explains the method that is applied to the use of the knowledge-management system and the application it.

• 한국전자거래학회지
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• 제5권1호
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• pp.1-18
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• 2000

As the networks (i.e., intranet and internet) proliferate all over the world, it is inevitable to move some (or all) of the enterprise activities into virtual spaces. Differently from business data, product data have complex semantics and thus are not properly exchanged among different application programs. Even though some neutral formats of product data have been developed by standard organizations, translating them among various application programs still needs the comprehensive understanding of the complex semantics. Recently, it is widely recognized that capturing more knowledge is the next step In overcome the current difficulties on sharing product data. In this paper, we present Web-based knowledge management that facilitates seamless sharing of product data among various application programs in virtual enterprises. Three types of knowledge are managed by the knowledge management system - metadata, ontology, and mapping. In this environment, we consider both business applications (e.g., ERP, SCM, and EDI System) and engineering applications (e.g., CAD and CAM system).

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.407-412
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• 1989

Using the knowledge base which contains the patterns and data of the past experience of a plant, a learning control method is suggested. The knowledge for controlling a plant is stored to the knowledge base and continually modified after performance evaluation of an applied control input. The performance of the resultant knowledge based control system is examined by an application to process.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1996년도 봄 학술발표회 논문집
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• pp.40-46
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• 1996

Three procedures are currently used for the design of deep beams, which are Empirical design method, Nonlinear analysis, and Truss models. The engineering logic and decisions inherent in these design procedures are dependent on the acquired knowledge and experience of the structural engineer. Knowledge-based system is useful to solve problems which require human experties. Therefore, this study presents an application of Knowledge-Based System for design of reinforced concrete deep beams with web openings.

• 한국지역지리학회지
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• 제20권4호
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• pp.473-483
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• 2014

오랜 역사를 통해 다양한 사회적 요구와 필요에 의해 발달해온 지리지식은 (순수)학문지리지식과 학교지리지식, 응용지리지식, 대중지리지식의 영역으로 구성되어 있다. 그리고 지리지식은 이들 영역간 지식의 생산과 전달, 응용 및 적용, 재생산으로 이어지는 지식의 순환체계를 바탕으로 발전해 왔다. 따라서 한 영역에서의 지식순환의 단절은 다른 영역의 지식형성에 직접적인 영향을 주기 때문에 지리학 전체의 위기를 초래하게 된다. 그러므로 지속가능한 지리학 발전을 위해서는 (순수)학문지리에 의한 지식의 생산과 축적, 학교지리에 의한 지식의 전달, 응용지리와 대중지리에 의한 지식의 사회적 활용과 일상생활의 적용으로 이어지는 지식의 선순환체계가 확고하게 구축되어 지식의 사회적 요구와 변화에 능동적으로 대응할 수 있어야 한다.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1995년도 봄 학술발표회 논문집
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• pp.176-183
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• 1995

The design process of pre-cast concrete member needs various design parameters and the engineer's experiences. The introduction of knowledge-based system in the design of pre-cast concrete member enables us to design complicated members using the designer's heuristics. The objectives of this research are to study useful methodology for representing knowledge and data in the development of knowledge-based system and to show the application of methodology by developing a prototype sysytem for design of pre-cast concrete member. This paper nrst describes methodology for building knowledge-based system. It then presents knowledge-based system for pre-cast concerete member design.

• 산업공학
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• 제13권1호
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• pp.17-28
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• 2000

As knowledge has been recognized as a new resource in gaining organizational competitiveness, Knowledge Management (KM) is suggested as a method to manage and apply knowledge for business management. KM research, however, has focused on identifying, storing, and distributing the transaction-related knowledge in an organization. There has been little research on applying the knowledge to decision-making or strategy development that is the main task of business management. The application of knowledge to decision making has higher impact on organizational performance rather than just the knowledge management for process transaction. In this research, we suggest System Dynamics (SD) for the knowledge-based decision-making. Based on the modeling method of SD, we can translate partial and implicit knowledge resident in individual's mental model into organized explicit knowledge. The simulation test of the organized knowledge model enables decision-makers to understand the structure of the target problem and its behavior mechanism, which facilitates effective decision-making. We will compare the proposed method and other KM methods and discuss this research based on the application case to a real telecommunication company.

• 경영과학
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• 제20권1호
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• pp.1-23
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• 2003

Knowledge Management System is defined as an Information system to support the integrated knowledge management process for maximizing value of the knowledge assets in organizations. From that point of view, the system performance - the usage level of the system and user satisfaction - can be an available measure of the knowledge management system success. Many previous research were focused on the application of a new technological component for knowledge management processes or the construction of the overall system architecture in spite of the importance of the system performance. The purpose of this study is to Identify the factors affecting the knowledge management system performance. To do this, we conducted an exploratory case studies of eight companies. We applied theories of information system success to knowledge management system and investigated some specific strategic components as additional affecting factors. Finally, we proposed research model and ex propositions regarding the factors affecting the knowledge management system performance. The implication of the findings and future research directions were discussed.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.431-434
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• 2001

Knowledge discovery in databases(KDD) is the process for extracting valid, novel, potentially useful and understandable knowledge form real data. There are many academic and industrial activities with new technologies and application areas. Particularly, data mining is the core step in the KDD process, consisting of many algorithms to perform clustering, pattern recognition and rule induction functions. The main goal of these algorithms is prediction and description. Prediction means the assessment of unknown variables. Description is concerned with providing understandable results in a compatible format to human users. We introduce an efficient data mining algorithm considering predictive and descriptive capability. Reasonable pattern is derived from real world data by a revised neural network model and a proposed fuzzy rule extraction technique is applied to obtain understandable knowledge. The proposed neural network model is a hierarchical self-organizing system. The rule base is compatible to decision makers perception because the generated fuzzy rule set reflects the human information process. Results from real world application are analyzed to evaluate the system\`s performance.