• 한국산업정보학회논문지
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• 제17권4호
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• pp.87-97
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• 2012

지식지도는 지식 간의 상호 연관성을 기초로 전체적인 지식의 현황을 보여주는 도식으로, 상황에 따라 다양하게 해석 및 적용될 수 있는 지식의 특성을 보다 형식화되고 정형화된 방식으로 표현하기 위해 온톨로지 기술의 적용이 필요하다. 본 연구는 지식 네트워크에 나타나는 지식 간 상호참조적 네비게이션이 가능하도록 온톨로지 기술을 기반으로 지식지도를 정의하고 표현하는 방법론을 제시한다. 제시된 방법론의 타당성을 검증하기 위하여, 온톨로지 모델링 도구인 Protege-OWL을 이용하여 실제 지식지도를 모델링하고, 몇 가지 예제를 통해 구현된 온톨로지 기반 지식지도가 실제로 지식 간의 상호참조적 네비게이션을 반영하는 지식네트워크를 구성하는지 알아본다.

• Asia pacific journal of information systems
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• 제14권1호
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• pp.125-142
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• 2004

Knowledge management has been increasingly recognized as important in business management context. Although knowledge management has been proposed as an enabler to reach competitive advantage, little research has considered applying knowledge to business decision-making activities, which may be the main task of enterprise management. The application of knowledge to decision-making has a more significant impact on organizational performance than mere knowledge management for operational level processing. For this purpose, the present study proposes a decision support loop based on the integration of knowledge by adopting a cognitive modeling approach. The proposed model is then discussed, in the real context of an application case.

• 한국지능시스템학회논문지
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• 제23권5호
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• pp.400-405
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• 2013

The purpose of this study is to develop a composite platform for knowledge extractions, visualizations, and inference. Generally, the big data sets were frequently used in the healthcare and medical area. To help the knowledge managers/users working in the field, this study is focused on knowledge management (KM) based on Data Mining (DM), Knowledge Distribution Map (KDM), Decision Tree (DT), RDBMS, and SQL-inference. The proposed mechanism is composed of five key processes. Firstly, in Knowledge Parsing, it extracts logical rules from a big data set by using DM technology. Then it transforms the rules into RDB tables. Secondly, through Knowledge Maintenance, it refines and manages the knowledge to be ready for the computing of knowledge distributions. Thirdly, in Knowledge Distribution process, we can see the knowledge distributions by using the DT mechanism.Fourthly, in Knowledge Hierarchy, the platform shows the hierarchy of the knowledge. Finally, in Inference, it deduce the conclusions by using the given facts and data.This approach presents the advantages of diversity in knowledge representations and inference to improve the quality of computer-based medical diagnosis.

• 국제학술발표논문집
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• The 4th International Conference on Construction Engineering and Project Management Organized by the University of New South Wales
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• pp.487-492
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• 2011

As a knowledge-based economy is emerging, knowledge management (KM) is being rapidly disseminated in both academic circles and the business world. Accordingly, how to effectively manage knowledge is vital to the survival and advance of a company, particularly in project-based industries such as construction. For these reasons, construction companies have adopted IT-based Knowledge management systems (KMS), which is the technology platform and infrastructure that an organization employs to support knowledge management. However, many construction companies have spent resources on developing a KMS that only focus on codification. Furthermore, small and medium-sized companies have limited resources to afford extensive investments. This research addresses the problems found in the current KMS and develops a web-based construction knowledge management portal (CKMP). To achieve these objectives, a case study is conducted and requirements for implementing KM are identified. Based on the identified requirements, this paper builds CKMP using Expert Index (EI), blog, ontology based knowledge retrieval, and wikiblog. The most important functionality of CKMP is their fundamentals to synchronize and support KM process. In order to validate the CKMP, a pilot test with actual users is conducted, and the usability of the system is compared with the current systems. This study is relevant to both the construction industry and academia, as it provides a means of enhancing the performance of KM.

• 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.

• 지능정보연구
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• 제5권1호
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• pp.13-34
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• 1999

Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제18권2호
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• pp.284-310
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• 2024

Identifying clinical pathways for disease diagnosis and treatment process recommendations are seriously decision-intensive tasks for health care practitioners. It requires them to rely on their expertise and experience to analyze various categories of health parameters from a health record to arrive at a decision in order to provide an accurate diagnosis and treatment recommendations to the end user (patient). Technological adaptation in the area of medical diagnosis using AI is dispensable; using expert systems to assist health care practitioners in decision-making is becoming increasingly popular. Our work architects a novel knowledge-based recommender system model, an expert system that can bring adaptability and transparency in usage, provide in-depth analysis of a patient's medical record, and prescribe diagnostic results and treatment process recommendations to them. The proposed system uses a set of parallel discrete fuzzy rule-based classifier systems, with each of them providing recommended sub-outcomes of discrete medical conditions. A novel knowledge-based combiner unit extracts significant relationships between the sub-outcomes of discrete fuzzy rule-based classifier systems to provide holistic outcomes and solutions for clinical decision support. The work establishes a model to address disease diagnosis and treatment recommendations for primary lung disease issues. In this paper, we provide some samples to demonstrate the usage of the system, and the results from the system show excellent correlation with expert assessments.

• 한국정보시스템학회지:정보시스템연구
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• 제9권1호
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• pp.157-188
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• 2000

Today a knowledge management systems (KMS) is an enabler for gaining competitive position in the market environments. However, it is just recognized as a conceptual management paradigm not as realistic management philosophy in an organization. A firm just accustomed to deal with tangible assets such as inventory and buildings based on the cumulated experiences. However, the firm often struggle with how to define and apply the knowledge management system into its real business activities such as business strategy and productivity. For example, one of textile company, E-land, in Korea found the way how the firm utilize intelligent assets of its employees to overcome the performance differences among the employees in an organization to increase their ability. Managers in an organization should fully understand and try to figure out the concept of knowledge management systems to implement KMS more efficiently and effectively. Even though lots of previous knowledge management literature proposed several unique knowledge management process models, they have their own terms, process sequences, or different approaches. There are three common knowledge management processes： knowledge creation, knowledge store and search, knowledge sharing process. In this study, a new KM process theoretical framework based on the previous researches is developed. This study will guide to those who will adopt or implement of KMS in the organization in near future.

• 지식경영연구
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• 제9권3호
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• pp.43-57
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• 2008

This study examines the impact of knowledge processes (KP) on the performance of knowledge management systems (KMS). It posits that task needs and available functionality of technology existing in an organization could influence the usability of KP and the KMS performance. A firm-level structural model was developed based on data collected from corporate KM users. Survey-based research was carried out to test this model. Following questionnaire development, validation, and pretest with a pilot study, data were collected from 886 knowledge management (KM) users including directors, managers, and workers in a South Korea-based company, Korea Asset Management Corporation (KAMCO), to measure the task needs and available functionality of technology to improve the KMS performance. Results show that the matching between the two factors-technology and task-had a significant influence on the usability of KP and the KMS performance, and a better usability of KP has positive impact on the KMS performance. Implications on KM practices and KMS designs are also discussed.

• 산업공학
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• 제13권1호
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• pp.10-16
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• 2000

The main purpose of this paper is to explore the role of meta-knowledge for knowledge creation and knowledge transformation in cooperative problem solving processes. For this I will discuss what the primary functions of meta-knowledge are from the knowledge representation perspective. The proposed theoretical model is useful to develop a new form of knowledge management support systems beyond the first generation of knowledge-based systems.