• Proceedings of the Korean Operations and Management Science Society Conference
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• 2001.10a
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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.

• Proceedings of the IEEK Conference
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• 2002.07b
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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.

• Korean Management Science Review
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• v.12 no.3
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• pp.135-161
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• 1995

This paper is concerned with a conceptual design of a knowledge-based modeler for network analysis. The "knowledge-based modeler" approach is suggested as a method for incorporating the user's qualitative knowledge and subjective decison in the course of the mathematical modeling and the subsequent solution procedure. The submodules of the proposed modeler such as database, model/algorithm base and functional knowledge bases are identified and the flows of information between the submodules are sequentially defined. A prototype system is implemented for experimental purpose by using the application software GURU.ware GURU.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.335-346
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• 1999

The process of program debugging is essentially an intelligence intensive process. It is thought viable to develop a knowledge-based tool to help programmer perform this process. This paper presents the design of such a system. Unlike other knowledge-based debugging tools which are mostly based on formal program specification and automatic program understanding, this tool is based on debugging heuristic. This tool is a debugging assistant which only suggests the programmer in program debugging what and where to examine using the debugging heuristic stored in the knowledge base. In this paper, a umber of useful heuristic debugging knowledge are explained and their usage in debugging process are described. The, a scheme to organize the knowledge in the knowledge base and an intelligent program debugging assistant using the knowledge are proposed and discussed.

• Healthcare Informatics Research
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• v.24 no.4
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• pp.376-380
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• 2018

Objectives: This research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base. Methods: The software extracts, manages and represents the knowledge of a text in natural language. A corpus of more than 200 medical domain documents from the general medicine and palliative care areas was validated, demonstrating relevant knowledge elements for physicians. Results: Indicators for precision, recall and F-measure were applied. An ontology was created called the knowledge elements of the medical domain to manipulate patient information, which can be read or accessed from any other software platform. Conclusions: The developed software architecture extracts the medical knowledge of the clinical histories of patients from two different corpora. The architecture was validated using the metrics of information extraction systems.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.29-34
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• 2001

In this paper, we'll change a data generated by the project for a database and make the better interface of all laboratory and a participating enterprise, constructing a knowledge-based management system to fit a characteristics within a country. Also, we'll manage the light-rail transit system development efficiently and systematically, constructing the web-based knowledge information system.

• Knowledge Management Research
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• v.12 no.4
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• pp.77-90
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• 2011

This study examined the effects of knowledge management strategy and structural capital on organizational performance. Structured capital was classified into three dimensions: organizational culture, knowledge process, and information technology. Data were collected from 251 employees in a public institution. Results indicated that organizational knowledge-based strategy was positively related to employees' job satisfaction, and that information technology-based strategy was positively related to customers' satisfaction and institutional image. Results also indicated that organizational culture and knowledge process were positively related to customers' satisfaction, employees' job satisfaction, and institutional image, whereas informational technology was negatively related to customers' satisfaction and institutional image. Finally, the theoretical and practical implications of the results were discussed.

• Korea Journal of Hospital Management
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• v.6 no.1
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• pp.18-40
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• 2001

This study purports to investigate the readiness of the university hospital employees in the knowledge-based management. Data were collected from 550 employees including administrative, nursing, and technical staff of 9 university hospitals located in Seoul and Kyunggi Province through the self-administered questionnaires. The response rate was 79% and 425 questionnaires were used as final data and analyzed using 2 test, t-test, and ANOVA. The main findings of the study are as follows. 1) It seems that most employees of the study hospitals have basic knowledge on the concept of knowledge-based management. This finding implies that the implementation of the knowledge-based management in Korean university hospitals will not likely to face strong resistance from their employees. 2) The results show that Korean hospital employees are still not so accustomed to using e-mail as the main communication tool. This finding suggests that it is necessary to use various communication tools which include electronic data interchange, teleconference, and cyber chatting for facilitating the knowledge-based management in Korean university hospitals. 3) It is desirable to appoint a chief knowledge officer(CKO) for operating knowledge-based management system effectively. 4) A reward system for employees who show a distinguished performance in the creation and sharing of new knowledge should be established. Knowledge mileage system, selection of the best knowledge employee and team will be a good example of the effective reward system. 5) The participation and support from the chief executive officers (CEO) of the hospitals is an important factor for successful knowledge-based management. Furthermore, to make physicians actively participate in the knowledge-based management is another important factor for obtaining valuable outputs from the system. 6) It is found that the knowledge and skills of the hospitals employees on the information technology (IT) are not sufficient for making knowledge-based management more popular. This implies that it is very important to select IT-oriented employees and educate them continuously on the knowledge-based management.

• Proceedings of the CALSEC Conference
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• 2004.02a
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• pp.107-111
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• 2004

The purpose of the study is to develop an integrated knowledge management system for the domains of genome and nano-technology, in which terminology-based literature mining, knowledge acquisition, knowledge structuring, and knowledge retrieval are combined. The system supports integrating different types of databases (papers and patents, technologies and innovations) and retrieving different types of knowledge simultaneously. The main objective of the system is to facilitate knowledge acquisition from documents and new knowledge discovery through a terminology-based similarity calculation and a visualization of automatically structured knowledge. Implementation issue of the system is also mentioned.

• Korean Institute of Interior Design Journal
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• no.7
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• pp.70-78
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• 1996

Artificial Intelligence is generally concerned with tasks whose execution appears to involve some intelligence if done by humans, and knowledge-based system ( in other word, expert system) is the research about the specific domain. This concept also can be applied to interior design field. So the purpose of this study is in reconstructing the accomplishment of artificial Intelligence and knowledge engineering, searching basic theories and cased to knowledge engineering , searching basic theories and cases to formulate knowledge -based design system, and testing the posibilities how the design information can be dealt in computer system. Given that recognition , two major problems must be solved before knowledge-based CAD systems could be come practical : Firstly , identification of the interior of designers use .Secondly , representing this knowledge in a computationally effective manner. I had discussed the basic concepts on which to base a knowledge- based design model, knowledge representation schemes, and problem solving, I could find the possibility which the knowledge-based system can be applied to the interior design according to this study. But there are non-deductive, often irrational and now easily computerized design process in interior design. Those are problems which are relevant to the machine learning and the creativity in design. So there should be a lot of research about the machine learning and the creatively in design in order to construct successfully intelligent knowledge-based design system.