• Title, Summary, Keyword: Knowledge Management Framework

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Framework for a Strategic Knowledge Management for Construction Companies (건설기업의 전략적 지식축적 Framework)

  • Jung Young-Soo;Kang Seung-Hee;Lee Kyoo-Hyun;Choi In-Sung
    • Proceedings of the Korean Institute of Building Construction Conference
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    • pp.157-160
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    • 2005
  • The purpose of this paper is to develop a framework for strategic construction knowledge management. The variables of proposed framework includes knowledge types, strategic business functions, and engineering data types. The Proposed framework and knowledge action Plan for the construction company will contribute to develop knowledge management system related to engineering capabilities of strategic business functions

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A Framework for Integration of Knowledge Management and Business Process Management (지식 관리와 프로세스 관리의 통합 프레임워크)

  • Jung, Ji-Soo;Song, Min-Seok;Choi, In-Jun
    • IE interfaces
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    • v.18 no.1
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    • pp.52-62
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    • 2005
  • Recently, several attempts have been made to introduce the process concept to knowledge management (KM) or the knowledge concept to business process management (BPM) in order to combine the advantages of the two approaches. However, clear description about their interrelationship or a comprehensive framework to combine them has not been provided. This paper explores how KM and BPM can complement each other and proposes a framework to integrate the two paradigms. The concept of process knowledge proposed by this paper focuses on the importance of business processes as knowledge, which is overlooked by existing KM or BPM research efforts. The paper proposes a framework that combines and extends the functionalities of existing knowledge management systems (KMSs) and business process management systems (BPMSs) by identifying the functionalities required to manage process knowledge from the lifecycle perspective of both knowledge management and business process management. A prototype system is also presented to demonstrate the feasibility of the proposed framework.

Ontology-based Knowledge Framework for Product Development (제품개발을 위한 온톨로지 기반 지식 프레임워크)

  • Suh H.W.;Lee J.H.
    • Korean Journal of Computational Design and Engineering
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    • v.11 no.2
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    • pp.88-96
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    • 2006
  • This paper introduces an approach to ontology-based framework for knowledge management in a product development domain. The participants in a product life cycle want to share the product knowledge without any heterogeneity. However, previous knowledge management systems do not have any conceptual specifications of their knowledge. We suggest the three levels of knowledge framework. First level is an axiom, which specifies the semantics of concepts and relations. Second level is a product development knowledge map. It defines the common domain knowledge which domain experts agree with. Third level is a specialized knowledge for domain, which includes three knowledge types; expert knowledge, engineering function and data-analysis-based knowledge. We propose an ontology-based knowledge framework based on the three levels of knowledge. The framework has a uniform representation; first order logic to increase integrity of the framework. We implement the framework using prolog and test example queries to show the effectiveness of the framework.

A Study on Knowledge Discovery and Creation Techniques for Knowledge Management in SI Industry (SI산업에서의 지식경영을 위한 지식발견 및 창출 기법에 관한 연구)

  • Kim, Hyun-Su
    • Asia pacific journal of information systems
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    • v.11 no.2
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    • pp.99-119
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    • 2001
  • The creation of knowledge is a major concern for knowledge management practice. In particular, effective knowledge creation is one of the critical success factor in SI(System Integration) industry. This paper designs a framework of effective knowledge creation methods for organizations in SI industry. First, we give a comprehensive survey on knowledge creation and discovery methods. And the structure of SI knowledge has been analysed. Also, characteristics of knowledge management processes of SI industry have been surveyed and analysed. A framework for effective knowledge creation of SI organization has been discussed based on the characteristics of SI knowledge and knowledge management processes. Organizational issues and theoretical issues of the methods have been discussed. Future research will be needed to expand the current framework and to examine the effectiveness of the proposed framework.

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Ontology-Based Knowledge Framework for Product Life cycle Management (PLM 지원을 위한 온톨로지 기반 지식 프레임워크)

  • Lee Jae-Hyun;Suh Hyo-Won
    • Journal of the Korean Society for Precision Engineering
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    • v.23 no.3
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    • pp.22-31
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    • 2006
  • This paper introduces an approach to an ontology-based knowledge framework for product life cycle management (PLM). Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects. Therefore, we suggest an ontology-based knowledge framework including knowledge maps, axioms and specific knowledge far domain. The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so that ambiguity of the semantics can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain common knowledge and guides engineers to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and product item level for PLM. The top level is specialized knowledge fer a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of unambiguous knowledge for PLM and is represented with first-order logic to maintain a uniform representation.

FAH-Based Expert Search Framework for Knowledge Management Systems (지식관리시스템을 위한 FAH 기반 전문가 검색 방법론)

  • Yang Kun-Woo;Huh Soon-Young
    • Journal of the Korean Operations Research and Management Science Society
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    • v.30 no.1
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    • pp.129-147
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    • 2005
  • In Knowledge Management Systems (KMS), tacit knowledge which is usually possessed as forms like know-how, experiences, and etc. is hard to be systemized while managing explicit knowledge is comparatively easy using information technology such as databases, Recent researches in knowledge management have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise so that users can contact them for help, In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through' which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To test applicability and practicality of the proposed framework, the prototype system, Knowledge Portal for Researchers in Science and Technology, was developed.

The Study on Framework for Healthcare Knowledge Management System (의료 지식 관리 시스템을 위한 프레임워크 연구)

  • Lee, Sang-Young;Lee, Myoung-Hee
    • Journal of the Korea Computer Industry Society
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    • v.5 no.5
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    • pp.729-736
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    • 2004
  • Over the last few years knowledge management has become more and more impotant part of the in healthcare practices. Therefore the healthcare organisatiions have also begun to apply knowlege management strategies. To address this issue of the lack of true knowledge management in healthcare enterprises, we propose a framework for common Healthcare Knowledge Management. This framework is made up of two suites of applications and services, i.e. the intelligent agent-based knowledge management application suite and the strategic visualisation, planning and coalition formation service suite.

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Ontology-Based Multi-level Knowledge Framework for a Knowledge Management System for Discrete-Product Development

  • Lee, Jae-Hyun;Suh, Hyo-Won
    • International Journal of CAD/CAM
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    • v.5 no.1
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    • pp.99-109
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    • 2005
  • This paper introduces an approach to an ontology-based multi-level knowledge framework for a knowledge management system for discrete-product development. Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects: therefore, we suggest an ontology-based multi-level knowledge framework (OBMKF). The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so ambiguity can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain knowledge and guides the engineer to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and manufactured item level, according to the various viewpoints. The top level is specialized knowledge for a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of knowledge and is represented with first-order logic to maintain a uniform representation.

A Study on Framework for Process Knowledge Management (프로세스 지식 관리 프레임웍에 대한 연구)

  • Choe In Jun;Song Min Seok;Jeong Ji Su
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.1150-1156
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    • 2003
  • This paper suggests process knowledge management (PKM) which aims at lossless integration of business process management (BPM) and knowledge management (KM). To implement PKM, this paper suggests the concept of process knowledge and explores how to use them to extend the functionalities of knowledge management systems and process management systems by considering the lifecycle requirements of both knowledge and business processes. The framework and extended functionalities can provide a new corporate paradigm that combines the advantages of BPM and KM. Further, important corporate knowledge about business processes can be defined and managed in a single framework.

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Decision Making Framework for Achieving Successful Knowledge Management (지식경영의 성공적인 실행을 위한 전략적 의사결정 프레임워크 구축)

  • Lee, Young-Chan;Kwon, Kee-Taec
    • The Journal of Information Systems
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    • v.18 no.3
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    • pp.135-154
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    • 2009
  • As the knowledge is recognized as a core factor of organization's competitiveness and creation of value added, the importance of knowledge management is also increased. To achieve the successful knowledge management, it is important to establish strategy that consider essential purpose of knowledge management such as creating and sharing of knowledge resource, improving performance, and continuing organizational innovation within the organization and influence factor inside and outside of organization. Until now, however, the research for knowledge management strategy was mostly limited to the statistical analysis based on the unilinear causality model, and systematic access and analysis that consider interaction and feedback structure between factors. In this paper, we developed the novel decision-making framework for successful strategy establishment by applying the analytic network process(ANP). Specifically. we derive clusters and components to decide the interaction and feedback structure between the elements of knowledge management by literature studies. And we produced relative importance and preference of clusters, components and alternatives dealing with feedback structure through the survey of experts in the field or related one of knowledge management. In result of this study, we expect that it will help the knowledge officer to decide establishing knowledge management strategy.