• Journal of Information Management
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• v.36 no.2
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• pp.73-98
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• 2005

The growing emphasis on knowledge management is given to research institutes whose work processes including R&D are mainly focused on knowledge or technology. It is due to the fact that the system integrating, sharing and generating knowledge serves as the growth engine of those institutes. This study creates the knowledge management framework based on the research process which is the key process in research institutes, and applies to POSCO Research Institute(POSRI) who is a leading institute in this domain. Practical framework and methodology are found in POSRI through systematic operation of knowledge management process.

• Knowledge Management Research
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• v.8 no.2
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• pp.17-30
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• 2007

Firm which implement knowledge management initiatives have found interest in nurturing voluntary knowledge sharing organizations, called communities of practice(CoP). One of the fundamental problems for adopting or implementing CoP is how the firms can measure the performance of CoP. Despite interest in CoP by firms, empirical studies on CoP performance measurement are rare. Thus, this study intends to help the organizations by introducing CoP performance measurement framework based on the previous researches. The framework is further validated by comparing with the eight actual cases. Finally, we propose three propositions regarding the CoP performance measurement.

• STI Policy Review
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• v.6 no.2
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• pp.146-173
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• 2015

This study explores how to reconcile science and policy in the wind energy sector by providing a conceptual framework for better understanding evidence-based policymaking (EBPM). Regarding this framework, the core issue is to discover how knowledge is formed over time, and which factors affect this knowledge formation. Comparative cases of wind industry emergence in Spain and Britain are examined. This analysis shows that knowledge formation initially starts in the scientific arena in parallel with its formation in the practical, and is followed by political knowledge formation near the beginning of commercial projects. Regarding knowledge formation, three more comparisons are made between wind industry emergence in Spain and Britain: the different approaches to R&D projects, the different adoptions of supporting measures, and the different ways of coping with public opposition. The factors affecting the comparisons are mainly perceptions of energy supply, nuclear power, environment and science and technology. Communication and unfamiliarity are likely to affect the comparisons in EBPM.

• Asia pacific journal of information systems
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• v.14 no.2
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• pp.115-130
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• 2004

This paper proposes how to build an expert profile database in KMS, which provides the information of expertise that each expert possesses in the organization. To manage tacit knowledge in a knowledge management system, recent researches in this field 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 develop a framework to automate expert classification using a text categorization technique called Vector Space Model, through which an expert database composed of all the compiled profile information is built. This approach minimizes the maintenance cost of manual expert profiling while eliminating the possibility of incorrectness and obsolescence resulted from subjective manual processing. Also, we define the structure of expertise so that we can implement the expert classification framework to build an expert database in KMS. The developed prototype system, "Knowledge Portal for Researchers in Science and Technology," is introduced to show the applicability of the proposed framework.

• Knowledge Management Research
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• v.9 no.1
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• pp.117-128
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• 2008

It is very crucial to establishing an evaluation framework for anayzing the investment effects of IT asset such as knowledge managment systems. However, evaluation by quantitative measures, in spite of its usefulness and reliability, may have weakness in examining wide range of effects of the IT investment. Hence, the purpose of this paper is to propose a novel framework to evaluate the performance in terms of wider range of informatization effects. To do so, knowledge management concepts has been adopted in the evaluation method, and Impact Of Investment(IOI) has been suggested. IOI is used to derive Value Of Investment(VOI) and then ROI.

• Informatization Policy
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• v.20 no.2
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• pp.39-59
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• 2013

Majority of knowledge management(KM) studies in e-government have been confined to facilitate KM within an organization. But due to citizen-centric(citizen-driven) paradigm shift and advance of web 2.0 communication in recent years, KM between governments and citizen in e-government portals is becoming an important consideration. So a series of studies on knowledge enhanced e-government portal get under way by considering that it is necessary to enhance knowledge of e-government portal and assuming it improves the usability of portal. While the topics of knowledge enhancement and e-government(portal) are widely discussed in their own domains there is a paucity of studies that address these constructs in a joint context. This paper aims to propose conceptual framework of knowledge enhanced e-government portal through structuralization of theoretical discussion with holistic approach. This framework presents an evolutional path of knowledge enhanced e-government portal that consists of three phases and it will be used for realizing the knowledge enhanced portal project as a basic reference model.

• The Journal of the Korea Contents Association
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• v.9 no.12
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• pp.877-885
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• 2009

In this paper, we propose the SINDI-Grid which is a high-performance framework for scientific and technological knowledge discovery using the grid computing. By using the advantages of the grid computing providing data repository of large-volume and high-speed computing power, the SINDI-Grid framework provides a variety of grid services for distributed data analysis and scientific knowledge processing. And the SINDI-Workflow tool exploits these services so that performs the design and execution for scientific and technological knowledge discovery applications which integrate various information processing algorithms.

• Communications of Mathematical Education
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• v.32 no.3
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• pp.297-314
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• 2018

This article aims at providing implication for teacher preparation program through interpreting pre-service teachers' knowledge by using Shulman-Fischbein framework. Shulman-Fischbein framework combines two dimensions (SMK and PCK) from Shulman with three components of mathematical knowledge (algorithmic, formal, and intuitive) from Fischbein, which results in six cells about teachers' knowledge (mathematical algorithmic-, formal-, intuitive- SMK and mathematical algorithmic-, formal-, intuitive- PCK). To accomplish the purpose, five pre-service teachers participated in this research and they performed a series of tasks that were designed to investigate their SMK and PCK with regard to students' misconception in the area of geometry. The analysis revealed that pre-service teachers had fairly strong SMK in that they could solve the problems of tasks and suggest prerequisite knowledge to solve the problems. They tended to emphasize formal aspect of mathematics, especially logic, mathematical rigor, rather than algorithmic and intuitive knowledge. When they analyzed students' misconception, pre-service teachers did not deeply consider the levels of students' thinking in that they asked 4-6 grade students to show abstract and formal thinking. When they suggested instructional strategies to correct students' misconception, pre-service teachers provided superficial answers. In order to enhance their knowledge of students, these findings imply that pre-service teachers need to be provided with opportunity to investigate students' conception and misconception.

• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.1
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• pp.123-129
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• 2007

On the Semantic Web, the content of the documents must be explicitly represented through metadata in order to enable contents-based inference. In this study, we propose a mechanism to convert the Conceptual Graph (CG) into Resource Description Framework (RDF). Quite a large number or representation languages for representing knowledge on the Web have been established over the last decade. Most of these researches are focused on design of independent knowledge description. On the Semantic Web, however, a knowledge conversion mechanism will be needed to exchange the knowledge used in independent devices. In this study, the CG could give an entire conceptual view of knowledge and RDF can represent that knowledge on the Semantic Web. Then the CG-based object oriented PROLOG could support the natural inference based on that knowledge. Therefore, our proposed knowledge conversion mechanism will be used in the designing of Semantic Web-based knowledge representation and inference systems.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.09a
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• pp.480-483
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• 2003

We propose a new framework that aims at multi-purpose image recognition, a difficult task for the conventional rule-based systems. This framework is farmed based on the idea of computer-based learning algorithm. In this research, we introduce the new functions of an additional learning and a knowledge reconstruction on the Fuzzy Inference Neural Network (FINN) (1) to enable the system to accommodate new objects and enhance the accuracy as necessary. We examine the capability of the proposed framework using two examples. The first one is the capital letter recognition task from UCI machine learning repository to estimate the effectiveness of the framework itself, Even though the whole training data was not given in advance, the proposed framework operated with a small loss of accuracy by introducing functions of the additional learning and the knowledge reconstruction. The other is the scenery image recognition. We confirmed that the proposed framework could recognize images with high accuracy and accommodate new object recursively.