• 정보관리학회지
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• 제16권2호
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• pp.165-182
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• 1999

본 논문에서는 최근 들어 많은 연구가 진행되고 있는 지식의 정의 및 지식관리에 대해 살펴보고 지식관리시스템의 단계적 절차를 분석함으로써 효율적인 지식관리 방안을 제시하고 있다. 또한, 본 논문은 효율적인 지식관리를 위해 이용자, 지식관리자, 지식관리 기술전문가가 하나의 파트너쉽을 구축해야 한다고 제시하고 있으며 특히, 지식관리자로써 사서의 역할변화에 대해 기술하고 있다. 이러한 연구는 미래의 기존문서, 웹문서 및 각종 멀티미디어 자료등 비정형정보를 지식시스템으로 축적, 유통시킬 수 있는 지식관리시스템 구현을 기초자료로 활용할 수 있을 것이다.

• 정보학연구
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• 제2권2호
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• pp.217-233
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• 1999

본 연구는 최근 들어 활발하게 논의되고 있는 지식경영의 효율적인 실천방안 중의 하나로서 지식인의 역할에 대해 조사한 것이다. 먼저, 지식과 지식경영의 여러 견해를 종합하고, 지식경영의 핵심역량으로서 인적, 조직적, 관리적, 전략적, 기술적 요소 등 다섯 가지를 제시한다. 그 중에서 인적요소의 역할에 대해 집중적으로 고찰해 보았다.

• 지식경영연구
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• 제4권1호
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• pp.67-79
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• 2003

Today, corporate knowledge plays a critical role in obtaining competitive advantage. It is often pointed out that corporate knowledge is expected to be able to support various efforts for process innovation. Accordingly, it is important to establish a systematic infrastructure for the acquisition of knowledge which can support business-critical tasks effectively. From this motivation, this paper proposes a framework to guide a series of acquisition procedures for task knowledge and shows how to intemperate with activities for an innovation purpose. Moreover, the useful components of task knowledge are proposed; the schema of the components is ultimately implemented as a repository in a system for the management of task knowledge. To demonstrate the practical usefulness of the framework and the schema components, a real-life case is illustrated.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권11호
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• pp.2903-2923
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• 2023

Knowledge recommendation is a type of recommendation system that recommends knowledge content to users in order to satisfy their needs. Although using graph neural networks to extract data features is an effective method for solving the recommendation problem, there is information loss when modeling real-world problems because an edge in a graph structure can only be associated with two nodes. Because one super-edge in the hypergraph structure can be connected with several nodes and the effectiveness of knowledge graph for knowledge expression, a dual-channel hypergraph convolutional neural network model (DCHC) based on hypergraph structure and knowledge graph is proposed. The model divides user data and knowledge data into user subhypergraph and knowledge subhypergraph, respectively, and extracts user data features by dual-channel hypergraph convolution and knowledge data features by combining with knowledge graph technology, and finally generates recommendation results based on the obtained user embedding and knowledge embedding. The performance of DCHC model is higher than the comparative model under AUC and F1 evaluation indicators, comparative experiments with the baseline also demonstrate the validity of DCHC model.

• 산업공학
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• 제13권1호
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• pp.60-64
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• 2000

Faced with increasing competitive pressures to reduce time-to-market, many business organizations have recognized that shortening the design cycle by taking full advantage of their intellectual property is inevitable in maintaining their market share. This paper describes a knowledge management system for machine tool design. Product structuring, change management, and complex design knowledge management are possible through the developed system. The system can speed up the design process by making necessary data instantly available as it is needed and keeping track of all the relevant design information and knowledge including individual decisions, design intentions, documents, and drawings.

• 지능정보연구
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• 제5권2호
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• pp.121-132
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• 1999

최근 가상기업의 필요성이 증대하고 있다. 기업활동의 효율성을 높이고, 보다 고품질의 서비스를 고객에게 제공하기 위해서 많은 기업에서 도입을 추진하고 있다. 가상기업은 본래 취지를 효율적으로 달성하기 위하여 정보기술에 크게 의존하고 있다. 특히, 협업(Collaboration)과 지식관리(Knowledge Management)가 포함된 VESS(Virtual Enterprise Support System)가 본격적으로 논의되고 있고 유용한 정보의 공유, 가동, 재활용을 위하여 지식공학(Knowledge Engineering)의 효용성이 절실히 필요한 시점이다. 본 고는 이러한 배경에서 가상기업(Virtual Enterprise), 지식관리(Knowledge Management)의 상호 연계성과 시장 및 기술동향에 대해 기술하고 향후 과제를 도출한다.

• 디지털융복합연구
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• 제3권1호
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• pp.183-194
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• 2005

This study is aimed at building up an Ontology to solve the discrepancy of terminologies between teachers and students by showing, through Ontology, the knowledge for diagnosis of underachieving students. Also this study makes it possible to infer the diagnosis based on information of these underachieving students. In addition, while a general Underachieving Students diagnosis system shows special diagnosis, this Ontology system helps users obtain correct concepts through this knowledge based system, and suggest building an Ontology to extend unclear conceptual knowledge to clearer ones.

• 산업경영시스템학회지
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• 제31권4호
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• pp.59-65
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• 2008

전문가시스템의 성공을 좌우하는 지식추출은 주요 애로공정 중의 하나로 알려져 있다 설상가상으로 전문가의 부재, 새로운 또는 복잡한 문제 등 영역의 특성상 전문가시스템 개발은 실패할 수 있다. 이러한 문제점을 극복하기 위하여 본 논문에서는 KACE 구조를 제안하였다 본 구조는 작업 발생기, 작업 실행기, 작업 평가기, 규칙 발생기와 전문가시스템 등 5개의 주요 요소로 구성되어 있다. 이 구조를 이용하여 NP-complete인 일정계획 문제에 대한 전문가시스템이 어떻게 구축될 수 있는가를 예시하였다.

• 지식경영연구
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• 제9권1호
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• pp.97-116
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• 2008

The purpose of this study lies in examining how knowledge management was applied to PMI(Post Merger Integration) in bank merger. Individuals and organizations in Korea have experienced a lot of changes since the 1997 foreign exchange crisis. In such a situation, individuals came to think the only thing to rely on was personal knowledge. Since organizations had to lay off workers in order of their birth year, not based on whether or not individuals had the knowledge necessary for the organizations, they needed to have such a system that could use their explicit knowledge and even outside knowledge or customers' knowledge as IT developed by changing individuals' tacit knowledge into explicit knowledge as needed in order to continue to maintain their competitiveness and for their own development. Thus, each firm started to pitch for the introduction of knowledge management. Individuals started to store their own experience and knowledge in their homepages or blogs. It was Woori Bank, the merged bank of Hanil Bank and Commercial Bank of Korea, that introduced the knowledge management system and Shared Service Center, in which knowledge creation is available, for the first time in the banking business. Its previous name was Hanbit Bank. Hanbit Bank wanted to construct an advanced bank system, bringing in their chief information officer(CIO) from a foreign bank and introducing an IT software used in Spanish banks to adjust all banking processes to it. However, they could not help giving up the plan in the middle of the road since there was a great difference between Spain and Korea in the financial system and more than 30% of software package had to be changed. In this situation, PMI was delayed, and customer inconvenience continued, which made the integration of organizational cultures slow down. As a breakthrough in this situation, knowledge management was introduced. To integrate knowledge of two organizations in the process of PMI is an important job for all merger candidates. This study aims at presenting the successful results from using knowledge management as a means to PMI ahead of other financial institutions so they can apply them to their organizations. PMI was not achieved properly after the two banks had been merged as Hanbit, but entering the era of Woori Bank, workers were integrated under one standard organization following the organizational and knowledge integration, and knowledge management was introduced for an efficient sharing of knowledge among members. A great number of mergers have occurred up to now, but Woori Bank is the first case that used knowledge management as a means to both PMI and competitiveness enhancement. Probably it was an appropriate time when Woori Bank introduced knowledge management as it was organized. Since Hanil Bank and Commercial Bank of Korea had not introduced knowledge management until then, it could use knowledge management as a means to PMI. Using knowledge management, it could create a new organizational culture and increase competitiveness in the banking industry.

• 대한전기학회논문지
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• 제40권8호
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• pp.731-740
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• 1991

This paper presents a knowledge based system to solve reactive power/voltage control problem in a power system. The methods to reduce inference time are proposed in inferring the solution of problem in the knowledge base which consists of heuristic rules and inowledge of experts. A set of indices drawn from the heuristic knowledge on the power system is utilized to make up for the defect of existing knowledge based systems which determine both the location and the amount of reactive power compensation devices. The concept of set of indices developed in this paper makes it possible to infer the amount of reactive power source only since the bus order list representing priority for the location of reactive power compensator to be switched on can be determined in advance. From the fact that there exists a relationship between the system voltage pattern and the reactive power pattern in operation, the pattern recognition technique is introduced to reduce the inference time in solving the severe voltage problem. To demonstrate the usefulness of the proposed knowledge based system, the IEEE 30 bus system is chosen as a sample system. The results of case study are also presented.