• Asia pacific journal of information systems
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• v.13 no.3
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• pp.243-259
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• 2003

Many R&D organizations have interests on knowledge management system(KMS) to organize and utilize their knowledge resources. Currently, for research collaboration and knowledge management R&D organizations use either a specialized knowledge management system or a set of general application systems such as basic messaging system and document management system. The objectives of this paper are to identify important functionalities of knowledge management systems based on team characteristics and knowledge process of research teams in research organizations and to provide implications to design and implement knowledge management system for R&D teams. Survey results show that research teams perceive communication, collaboration and connection functionalities are important when their team sizes are large or they are distributed. During knowledge capture process, they need personalization of knowledge to reduce information overload.

• Information Systems Review
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• v.2 no.1
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• pp.1-11
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• 2000

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.393-399
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• 2001

The Purpose of this paper is how KM is implemented and executed to reform the organization in the change management aspect and how its current KM can be developed in the future, mainly based on the organizational system, business process, and information system related to KM. This Paper is longitudinal case study of Knowledge Management at LG-EDS Systems. The effective approach to undertake KM is phase. First, it is structured to share explicit knowledge for better performance and then implicit knowledge for best performance. But, This method had some limitations. So, LG-EDS systems integrated KMS-Knowledge Portal-to facilitate cooperation and improve contents quality.

• 한국경영정보학회:학술대회논문집
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• 2007.11a
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• pp.273-277
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• 2007

Ubiquitous computing environment accelerates the advent of the IT Ecosystem. In the coming generation, a massive number of ubiquitous devices and services are converged into an ultra-large-scale system. In this context, high degrees of complexity and organization change the paradigm of knowledge and its management levels. The objective of this paper is to explore the Knowledge Management Systems in view of demands in ultra-large-scale systems. We introduce motivation for Next-Generation (NG) usage and their upcoming requirements. The possible applications will be discussed, and summary of different techniques are conducted. The tools and techniques that allow KMS to operate as "Vital Success Enabler" to achieve organizational benefits will be examined. Potential future directions for research are highlighted: these include advances in knowledge capture, storage / retrieval and sharing techniques, in particular with the surrounding role of information technology.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.04a
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• pp.153-156
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• 2005

In this paper, a framework for implementing UFIS (Unified Fuzzy rule-based knowledge Inference System) is presented. First, fuzzy clustering and fuzzy rules deal with the presence of the knowledge in DB (DataBase) and its value is presented with a value between 0 and 1. Second, RDB (Relational DB) and SQL queries provide more flexible functionality fur knowledge management than the conventional non-fuzzy knowledge management systems. Therefore, the obtained fuzzy rules offer the user additional information to be added to the query with the purpose of guiding the search and improving the retrieval in knowledge base and/ or rule base. The framework can be used as DM (Data Mining) and ES (Expert Systems) development and easily integrated with conventional KMS (Knowledge Management Systems) and ES.

• Journal of Intelligence and Information Systems
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• v.5 no.2
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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.

• The Journal of Society for e-Business Studies
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• v.15 no.4
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• pp.143-163
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• 2010

The purpose of this study is to investigate the user's perception of security risk and examine its impact on the usage of Knowledge Management Systems(KMS). The findings of this study are three-fold. First, the overall user's perception of security risk is not high. However, there is a considerably big difference in the perception of security risk among users. This finding means that user's perception of a security risk is not based on the actual security effects but one's individual perception. Another finding is that user's perception of a security risk has a negative impact on the usage of KMS through "trust", which is a mediating variable in our study. This finding corresponds with the existing theory that security risk is oneof the critical sources of trust, and trust is a critical factor of user's acceptance of KMS. Finally, the result of this study reveals that activities devoted to security do not decrease the effectiveness and productivity of KMS. Our long-held cognition that security activity hinders the effectiveness and productivity of an information system is not particularly applied to the KMS.

• International conference on construction engineering and project management
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• 2009.05a
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• pp.942-948
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• 2009

Today's construction is a large-scale and long life span program, so called Mega-scale project, that every moment constructor faces much of hardships, It is because of a large amount of stakeholders, data and complicated relationship among workers. In order to overcome these problems, IETM(Interactive Electronic Technical Manual) has been introduced to construction industry recently, It is regarded as a useful tool for handling the data, procedures of the construction, but it is similar to existing IT-based information systems, the PMIS(Project Management Information System) and the KMS(Knowledge Management System), without characterizing. This research is intended to find out IETM's property and to present the Ontology scheme discriminating Construction IETM from existing systems..

• Journal of Intelligence and Information Systems
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• v.13 no.1
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• pp.59-79
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• 2007

P2P (Peer to Peer) techniques have been well applied to file sharing due to its cost-effectiveness and convenience. Dynamic network evolution is another good thing for P2P according to addition and deletion of nodes and change of files a node has. Our research proposes a P2P-based KMS (Knowledge Management System). Knowledge of enterprises spreads all over sub-organizations like oversea factories and sales departments and is changed in dynamic manner. P2P techniques are, therefore well matched with knowledge management domain. In order to increase search efficiency, we introduce social network theory into P2P-based KMS. Social network technique makes the most similar nodes (in KMS domain, nodes which has the most similar knowledge) its own neighbors, which makes eventually search efficiency increase. We developed our prototype system P2P-SN-KMS and evaluated by simulation.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)