• 한국시뮬레이션학회논문지
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• 제23권4호
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• pp.85-95
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• 2014

제품 설계를 위한 시뮬레이션을 위해서는 다양한 인과지식이 필요하다. 따라서 현존하는 다양한 지식으로부터 새로운 지식을 획득하기 위해서는 이러한 지식들을 통합하는 것이 필요하다. 예를 들어, 사용자가 가열이 되는 컵을 설계하고자 하지만 기존의 설계 지식 베이스에는 가열되는 컵에 대한 설계 지식은 없고 가열 기구에 대한 지식과 컵에 대한 지식이 따로 존재한다. 이러한 상황에서 가열 기구에 대한 지식과 컵에 대한 지식을 통합할 수 있는 자동화된 방법론이 필요하다. 이를 통해 사용자는 가열이 되는 컵을 설계하는 지식을 획득할 수 있다. 따라서 본 연구의 목적은 이러한 제품 설계에 관련한 지식을 통합하여 새로운 지식을 만드는 방법론을 제안 한다.

• Journal of the Korean Data and Information Science Society
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• 제8권2호
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• pp.173-181
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• 1997

한의학에서 환자의 병적상태를 분석하고 진단하기위한 전문가시스템은 진단과정에서 환자로부터 받아들인 지식에 기초하므로 지식은 정확하게 표현되어야 한다. 그러나 대부분의 한의진단과정에서 환자로부터 받아들인 지식은 주로 질적자료에 기초하여 기준이 애매한 개념의 지식을 많이 포함하므로 이에 대한 처리가 요구된다. 본 논문에서는 한의전문가시스템 구축에 이용되는 정보의 정확도를 높이기 위하여 Hayashi의 수량화II류를 기반으로 하여 한의진단과정에서 얻어지는 지식을 수량화하는 방법을 제안하였다.

• 지식경영연구
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• 제1권1호
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• pp.19-46
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• 2000

Today, knowledge is considered the most strategically important resource. As research in knowledge management advances, it ought to review and categorize the already published literatures on knowledge management in the area of business strategy, accounting/finance, human resource management and management information technology. To identify the knowledge management research trend, we analyze 168 articles published in prominent academic journal during last two decades. This paper develops three stages model for knowledge management research: observation, initiation and evolution stage. Also, we classify the given researches according to the three criteria of contents, related academic area and applied research method.

• 산업경영시스템학회지
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• 제21권48호
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• pp.213-222
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• 1998

The objective of this study is to develop a knowledge-based scheduler applying simulation and knowledge base. This study utilizes a machine induction to build knowledge base which enables knowledge acquisition without domain expert. In this study, the best job dispatching rule for each order is selected according to the specifications of the order information. And these results are built to the fact base and knowledge base using the attribute-oriented induction method and simulation. When a new order enters in the developed system, the scheduler retrieves the knowledge base in order to find a matching record. If there is a matching record, the scheduling will be carried out by using the job dispatching rule saved in the knowledge base. Otherwise the best rule will be added to the knowledge base as a new record after scheduling to all the rules. When all these above steps finished the system will furnish a learning function.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권1호
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• pp.407-420
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• 2015

Natural Language Question Answering (NLQA) and Prescriptive Analytics (PA) have been identified as innovative, emerging technologies in 2015 by the Gartner group. These technologies require knowledge bases that consist of data that has been extracted from unstructured texts. Every business requires a knowledge base for business analytics as it can enhance companies' competitiveness in their industry. Most intelligent or analytic services depend a lot upon on knowledge bases. However, building a qualified knowledge base is very time consuming and requires a considerable amount of effort, especially if it is to be manually created. Another problem that occurs when creating a knowledge base is that it will be outdated by the time it is completed and will require constant updating even when it is ready in use. For these reason, it is more advisable to create a computerized knowledge base. This research focuses on building a computerized knowledge base for business using a supervised learning and rule-based method. The method proposed in this paper is based on information extraction, but it has been specialized and modified to extract information related only to a business. The business knowledge base created by our system can also be used for advanced functions such as presenting the hierarchy of technologies and products, and the relations between technologies and products. Using our method, these relations can be expanded and customized according to business requirements.

• 한국국방경영분석학회지
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• 제23권2호
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• pp.45-71
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• 1997

There has been considerable research recently on uncertainty handling in the fields of artificial intelligence and knowledge-based system. Various numerical and non-numerical methods have been proposed for representing and propagating uncertainty in knowledge-based system. The Bayesian method, the Dempster-Shafer's Evidence Theory, the Certainty Factor model and the Fuzzy Set Theory are most frequently appeared in the knowledge-based system. Each of these four methods views uncertainty from a different perspective and propagates it differently. There is no single method which can handle uncertainty properly in all kinds of knowledge-based systems' domain. Therefore a knowledge-based system will work more effectively when the uncertainty handling method in the system fits to the system's environment. This paper proposed a framework for selecting proper uncertainty handling methods in knowledge-based system with respect to characteristics of problem domain and cognitive styles of experts. A schema with strategic/operational and unstructured/structured classification is employed to differenciate domain. And a schema with systematic/intuitive and preceptive/receptive classification is employed to differenciate experts' cognitive style. The characteristics of uncertainty handling methods are compared with characteristics of problem domains and cognitive styles respectively. Then a proper uncertainty handling method is proposed for each category.

• 한국도서관정보학회지
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• 제40권2호
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• pp.139-159
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• 2009

본 연구의 목적은 이용자 지향적인 정보검색을 수행하기 위한 질의확장용 지식베이스를 구축하는 것이다. 이를 위해 개념기반 정보검색방법과 통계적 기반 정보검색방법을 이용한 지식베이스 구축에 관련된 다양한 이론 연구를 수행하였다. 이들 지식베이스 구축방법에 있어서 공통된 가설은 연관용어의 출현은 문헌집합내의 동시출현 빈도임을 재확인하였고, 이 가설을 근거로 색인파일 알고리즘과 부울 논리의 And 연산자를 이용하여 질의확장용 지식베이스를 구축하였다. 본 지식베이스의 실험 주제는 교육학이며, 교육학개론이란 단행본을 이용하여 색인어들의 연관용어를 자동으로 제시해줄수 있는 실험용 지식베이스를 구축하였다. 실험용 지식베이스는 자연어색인방법과 통제어색인방법을 이용하여 두 개의 지식베이스를 구축해 각 지식베이스 시스템의 질의확장 성능에 대한 평가 작업을 수행하였다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제20권12호
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• pp.676-681
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• 2014

본 연구는 내용적으로 고품질인 슬라이드를 구분하고 분류하기 위해, 슬라이드의 지식정보를 내포하는 지식구조를 이용하는 분류 방법을 제안한다. 지식구조가 슬라이드의 내용적 품질정보를 내포하는지에 대해서 분석한 후, 그 결과로부터 지식구조를 이용한 분류 방법을 개발하였고, 슬라이드의 품질별로 분류한 결과를 비교하였다. 비교를 통해 고품질군에 속하는 슬라이드일수록 높은 품질의 슬라이드 위주로 분류할 수 있다는 점을 검증하였다. 이는 품질이 높은 슬라이드 위주로 검색하거나 추천하고자 할 때, 지식구조라는 인지적 모형을 활용하여 그 효과를 높일 수 있음을 보여준다.

• 간호행정학회지
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• 제9권3호
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• pp.415-427
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• 2003

Purpose: The purpose of this study was to investigate the degree and pattern of knowledge management process, and to identify the relationship between knowledge management process and organizational effectiveness in clinical nurses. Method: Participants were 665 regular clinical nurses who had worked for over 1 year in general units of 9 tertiary medical hospitals including 2 national university hospitals, 5 university hospitals, and 2 hospitals founded by business enterprises. Data were collected from March to May 2003 through questionnaires. Four structured instruments were used to collect the data: Knowledge Management Process Scale(Jeong, Lee, Lee, & Kim, 2003), cCommitment Questionnaire(Mowday, Steers, & Porter, 1979), General Satisfaction Scale(CooK, Hepworth, Wall, & Warr, 1981), and one for general characteristics. The data were analyzed using factor analysis, reliability analysis, descriptive analysis, cluster analysis, one-way ANOVA, Scheffe test, correlation analysis with the SPSS for Windows 10.0 program. Result: 1) The average score for knowledge management process in nurses was $3.08{\pm}.54$ on a 5-point Likert scale. In order from highest mean score, the elements of knowledge management process, were Knowledge $Utilization(3.35{\pm}.57)$, Knowledge $Sharing(3.07{\pm}.58)$, Knowledge $Creation(2.99{\pm}.63)$, and Knowledge $Storage(2.91{\pm}.82)$. 2) Four knowledge management patterns for nurses, which were derived from cluster analysis, were inactivate pattern, delayed pattern, activate pattern, and high-activate pattern of knowledge management. 3) The degree of knowledge management process activation and 4 elements of knowledge management process, Knowledge Creation, Knowledge Storage, Knowledge Sharing, and Knowledge Utilization, were significantly correlated with nurses' organizational commitment and job satisfaction(p=.000). 4) The nurses' organizational commitment and job satisfaction showed significant differences according to the knowledge management patterns derived from cluster analysis of high-activate pattern, activate pattern, delayed pattern, inactivate pattern(p=.000). Conclusion: These results suggest that there are four knowledge management patterns for nurses, and knowledge management process positively affects the nurses' organizational commitment and job satisfaction. From the above findings, knowledge management process is empirically verified as a useful and effective method to increase organizational effectiveness, and develop the organization.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 추계학술대회 논문집
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• pp.798-803
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• 2005

The increasing complexity of modem products requires the effective management of design knowledge, which partly resides in the product itself on the one hand. On the other hand, a lot of knowledge is gathered and/or generated during the design process, but disappears as the design project concludes. This paper describes a knowledge representation method to accommodate the implicit design knowledge. The method is based on the FBS(Function-Behavior-Structure) model and extends the object ontology with constraint entity. An example to represent the injection mold design knowledge is given to show its applicability.