• Journal of Information Technology Applications and Management
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• 제25권1호
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• pp.33-45
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• 2018

This study was initiated to investigate the essential skill factors for system designers in order to build the right information systems. The predicted variables are mathematical modeling skill, verbal modeling skill, general IT knowledge, and general business knowledge. The test was administrated to 43 students majoring in Management Information Systems (MIS) at Hannam University, South Korea. In this study, we used Pearson Correlation Analysis to test the relationships among variables. Overall, our study suggested that there is a strong positive relationship between mathematical and verbal skills and IS modeling ability. A marginal positive relationship between the general IT knowledge and IS modeling ability was also found. Unexpectedly, there was no significant relationship between general business knowledge and IS modeling ability.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회 2001년도 추계학술대회 논문집
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• pp.50-54
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• 2001

Information systems development entails planning, analysis, design and construction phases. The analysis phase identifying user requirements is the most important of these phases. Since unidentified defects in the early phase causes increased work and costs as development proceeds, the quality of analysis results affects the quality of the resultant system. Major tasks in the analysis phase are data modeling and process modeling. Research on building a knowledge-based system for data modeling have been conducted much, however, not sufficiently for process modeling. As a system environment with high user interaction increases, research on process modeling methods and knowledge- based systems considering such environment are required. In this research, a process modeling framework for information systems with high user interaction is suggested and a knowledge-based system for supporting the suggested framework is implemented. A proposed model consists of the following tasks: event analysis, process analysis, and event/process interaction analysis. Event analysis identifies business events and their responses. Process analysis break down the processes of an enterprise into progressively increasing details. Decomposition begins at the function level and ends when the elementary process level is reached. Event/process interaction analysis verifies the results of process analysis and event analysis. A knowledge-based system for supporting a proposed process modeling framework is implemented in a web-based environment.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 ITC-CSCC -2
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• pp.1165-1168
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• 2002

Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences ［Chan 1992］. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

• 산업공학
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• 제2권2호
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• pp.51-62
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• 1989

A computer-aided simulation modeling system has been developed to allow the automatic construction of complete discrete simulation models for queueing systems. Three types of knowledge are used in the specification and construction of a simulation modeling: Knowledge of queueing system, simulation modeling, and a target simulation language. This knowledge has been incorporated into the underlying rule base in the form of extraction and construction rule, and implemented via the expert system building tool, OPS5. This paper suggested a knowledge based approach for automatic programming to enable a user who lacks modeling knowledge and simulation language expertize to quickly build executable models.

• 한국경영과학회지
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• 제23권2호
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• pp.157-185
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• 1998

One of the essential issues in model systems is how to represent and manipulate mathematical modeling knowledge. As the bases of integrated modeling environments, current modeling frameworks have limitations: lack of facility to coordinate different users perpectives and lack of mechanism to reuse modeling knowledge. In this paper, multi-facetted modeling approach is proposed as a basis for the development of integrated modeling environment which provides facilities for (1) independent management of modeling knowledge from individual models； (2) object-oriented conceptual blackboard concept； (3) multi-facetted modeling； and (4) declarative representation of mathematical knowledge. The proposed multi-facetted approach is illustrated using multicommodity transportation models.

• 대한산업공학회지
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• 제35권1호
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• pp.40-50
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• 2009

Knowledge-based services are largely dependent upon human-driven works. Therefore, considering human characteristics is required when modeling processes for knowledge-based services. As an emerging technology for Business Process Management, Human Interaction Management and its supportive process management can be an alternative to deal with human-driven processes. However, current HIM does not suggest concrete method for modeling conditions that are essential to realize supportive process management. And the condition modeling of HumanEdj, the only HIM software implemented, reveals the problem of complexity. As a solution, this paper suggests a fact-oriented ontological approach to process modeling. The approach uses human-friendly form of facts for condition modeling.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제26권4호
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• pp.349-368
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• 2023

본 연구의 목적은 수학적 모델링 수업에서 학생들이 개념적 지식과 절차적 지식을 연결하는 방안을 탐색하는 것이다. 이에, 초등학생들이 개념적 지식과 절차적 지식을 연결하는 데 어려움을 보이는 학습 내용 중 최대공약수를 선정하고. 개념적 지식과 절차적 지식을 연결하면서 최대공약수 관련 문제를 해결할 수 있도록 수학적 모델링 수업을 설계하여 실행하였다. 분석 결과, 해당 수학적 모델링 수업은 학생들이 개념적 지식과 절차적 지식을 연결하여 문제를 해결하는 데 긍정적인 영향을 미친 것으로 나타났다. 또한 실제 수업 적용을 통해 수학적 모델링 수업에서 개념적 지식과 절차적 지식을 의미 있게 연결하기 위한 교수학습 방안을 도출하였다.

• 산업경영시스템학회지
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• 제23권55호
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• pp.85-96
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• 2000

This paper describes IDMS, a graph-based modeling system that supports problem structuring. We employs influence diagram as a problem representation tool, that is, a modeling tool. In particular, IDMS is designed as domain-independent shell. Therefore, a modeler can change the contents of the knowledge base to suit his/her own interested domain. Since the knowledge base of IDMS contains both modeling knowledge and domain knowledge, IDMS provides not only the syntactic support for modeling tool, but also the semantic support for problem domain. To apply the method in the real world context, we tested IDMS on the process selection problem in business reengineering, which is typical semi-structured problem.

• 한국과학교육학회지
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• 제44권1호
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• pp.105-117
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• 2024

본 연구는 개선된 합의 모델(RCM)의 세 가지 PCK 영역 간 지식 교환을 통해 초등교사의 모델링 pPCK(개인적 PCK)가 어떻게 변화되는지 탐색하였다. 이를 위해 초등교사 3인을 대상으로 한 전문적 학습공동체(PLC)에서 과학 모델링 수업에 관한 지식 교환이 이루어지도록 촉진한 뒤, 연구참여자가 두 차례 작성한 CoRe(내용 표상)를 분석하여 모델링 pPCK 변화 양상을 탐색하였다. 또한 PLC에서 연구참여자들이 나눈 담화, 심층 면담 자료를 근거 이론적 연구 방법을 활용하여 분석하였다. 연구 결과, 지식 교환으로 인해 초등교사의 모델링 pPCK 중 교육과정 지식에 있어서는 두드러진 변화가 없었으나 과학 교수 지향, 학생 이해에 대한 지식, 과학 수업 전략 지식 및 과학 평가에 대한 지식에 변화가 있었다. 또한 PLC 담화 및 심층 면담 분석을 통해 교사들의 이러한 모델링 pPCK 변화에는 모델링 수업 사례 성찰(ePCKR)과 교육 연구 기반 모델링 cPCK(집단적 PCK)가 영향을 미쳤음을 알 수 있었다. 연구 결과를 바탕으로 본 연구에서는 효과적인 교사의 모델링 PCK 개발을 위한 교육적 방법에 대해 논의하였다.

• 지식경영연구
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• 제7권2호
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• pp.53-68
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• 2006

Knowledge has become an important resource for organization. The manufacturing industry is usually operated on the basis of business processes, and most workers are familiar with their own processes. The process-based approach, therefore, can provide an efficient way to capture and navigate knowledge. In this study, we focus on knowledge which may be missed during knowledge transfer among workers. For this, we propose a method for analyzing knowledge flow, which is passed among business processes. We propose a process-based knowledge management framework for analyzing knowledge flow, which employs a two-phase analysis: process analysis and knowledge flow analysis. A knowledge flow model, represented by Knowledge Flow Diagram, is proposed as a tool for representing knowledge. We formulate several semantics for knowledge flow modeling. We build the three-level schema: conceptual, logical, and physical in order to automate the knowledge model adaptive to knowledge management systems. The proposed approach is verified and illustrated through a case study on the manufacturing process of A Company.