• Title/Summary/Keyword: knowledge-based

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The Development of Video Based System for Sharing Design Knowledge (동영상 기반 디자인 지식 공유 시스템 개발)

  • Han, Hyeon-Young;Park, Woo-Young;Lee, Joon-ho;Lee, Sang-Yong
    • Journal of Digital Convergence
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    • v.15 no.3
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    • pp.313-318
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    • 2017
  • In general, users of design software such as Photoshop, search for information online when they want to obtain related knowledge. However, it is very difficult to find the exact information they want about designs because available knowledge sharing systems are very broad in what they manage, and it is rare that such systems would provide any design-specific Q&A or exchange of information functionality. In the paper we development a video based system for sharing design knowledge that supplies Q&A, lecture, knowledge trade function etc. utilizing multimedia like text, image and video reflecting the characteristics of design knowledge. The system are expected to contribute to the competitiveness of products through sharing design knowledge. In the near future the system will need to expand to a framework that can be shared with a variety of knowledge, as well as design knowledge.

A Causal Knowledge-Driven Inference Engine for Expert System

  • Lee, Kun-Chang;Kim, Hyun-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.8 no.6
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    • pp.70-77
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    • 1998
  • Although many methods of knowledge acquisition has been developed in the exper systems field, such a need form causal knowledge acquisition hs not been stressed relatively. In this respect, this paper is aimed at suggesting a causal knowledge acquisition process, and then investigate the causal knowledge-based inference process. A vehicle for causal knowledge acquisition is FCM (Fuzzy Cognitive Map), a fuzzy signed digraph with causal relationships between concept variables found in a specific application domain. Although FCM has a plenty of generic properties for causal knowledge acquisition, it needs some theoretical improvement for acquiring a more refined causal knowledge. In this sense, we refine fuzzy implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approach, we prototyped a causal knowledge-driven inference engine named CAKES and then experimented with some illustrative examples.

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Knowledge Creating Patterns of Technology Catching-up and Pioneering Phase in the New Product Development Process (신제품 개발 과정에서 기술추격과 선도개발 단계의 지식창출 패턴)

  • Seol, Hyun-Do
    • Knowledge Management Research
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    • v.5 no.2
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    • pp.25-51
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    • 2004
  • The purpose of this study is to investigate the knowledge creating pattern of technology catching-up and pioneering phase in the new product development process. This paper first reviews the knowledge conversion, absorptive capability, learning orientation and the trigger of learning. The paper then presents the integrative model of knowledge creating. Based on the integrative model, in-depth case analysis was conducted on the new product development process in Phicom. As a result, the paper discuss that the pattern of absorptive capability building, knowledge conversion and knowledge transfer is different from technology catching-up and pioneering phase. Finally, the implications and limitations of the study are discussed.

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An Impact on Management Performance by IT Service Firm's Creativity and Knowledge Management Factor (IT서비스 기업의 창의성 및 지식경영 요인이 경영성과에 미치는 영향)

  • Ahn, Yeon S.
    • Journal of Information Technology Services
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    • v.12 no.3
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    • pp.95-109
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    • 2013
  • This paper discussed about creativity and knowledge management variables as for effect factors on the management performance of IT service firms. Specially the mediation effects of knowledge management variables between the creativity and management performance were examined. To prove empirically the related hypothesis, the statistical analysis were based on the response from the 160 Korean IT Service firms. As an analysis results, it was found that the creativity of organizations was not the direct effector on the management performance. But the virtue of knowledge which are accumulated from knowledge management activity and shared in organizations was the direct effector. Also, the knowledge management activity is mediator on the in the relationship between the creativity and management performance. So this paper suggests that knowledge management activity and knowledge's virtue in the related the creativity in organizations are the important mediate factors for enhancement of IT service firm's performance.

The Impacts of Institutional Environment, Social Capital and Strategic Importance on Knowledge Sharing and Performance

  • Kwon, Soo-Ra
    • Journal of Information Technology Applications and Management
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    • v.15 no.3
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    • pp.275-286
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    • 2008
  • Employing a sample of 126 suppliers in Korean electronic industry, this research examined the effects of institutional environment, social capital and strategic importance in manufacturer-supplier relationships on knowledge sharing. Building on the relational view and knowledge-based theories, this study proposed that these factors facilitate knowledge sharing in manufacturer-supplier relationships and that knowledge mediates satisfaction between manufacturer-supplier relationships for competitive advantage. Results indicate that institutional environment, social capital and strategic importance in manufacturer-supplier relationships are indeed associated with greater knowledge sharing. Inter-firm satisfaction is, in turn, positively associated with knowledge sharing for competitive advantage through technical support, financial support, competence increasing. Further, results provide evidence that knowledge sharing plays a mediating role between institutional environment, social capital, strategic importance and inter-firm satisfaction.

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An Analysis on the Prospective Elementary Teachers' Knowledge in the Case of Division of Fractions (예비 초등 교사들의 분수 나눗셈에 대한 지식 분석)

  • Pang, Jeong-Suk;Li, Yeping
    • The Mathematical Education
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    • v.47 no.3
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    • pp.291-310
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    • 2008
  • This article is based on an international collaborative study that aimed to investigate mathematical preparation of prospective elementary teachers in several selected education systems in East Asia. This article reports the Korean portion of the study. A survey instrument was developed to explore not only prospective teachers' knowledge of elementary mathematics curriculum and their beliefs in their preparation and mathematics instruction but also their subject matter knowledge and pedagogical content knowledge on the topic of fraction division. A total of 291 seniors in 3 universities participated in the survey. The results reveal these prospective teachers' strengths and weaknesses with regard to their knowledge of fraction division, and suggest that content-specific pedagogical knowledge needs to be emphasized in the teacher preparation program.

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The Current Status and Direction in Knowledge Management Architecture (지식관리 아키텍처의 현황과 방향)

  • Rieh, Hae-Young
    • Journal of Information Management
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    • v.36 no.1
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    • pp.103-124
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    • 2005
  • This paper investigates knowledge management architecture which is related to the efficient storage, search, and retrieval of knowledge. It is important considerations that should be taken account in any knowledge management system. This study reviews literature and practices of the theory of current status of knowledge management architecture (KMA). Based on the review of the current practice, the characteristics and emphasis of the KMA applications are identified. It tries to suggest how the KMA should facilitate for effective and desirable directions of the KMA.

Design and Construction of a NLP Based Knowledge Extraction Methodology in the Medical Domain Applied to Clinical Information

  • Moreno, Denis Cedeno;Vargas-Lombardo, Miguel
    • Healthcare Informatics Research
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    • v.24 no.4
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    • pp.376-380
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    • 2018
  • Objectives: This research presents the design and development of a software architecture using natural language processing tools and the use of an ontology of knowledge as a knowledge base. Methods: The software extracts, manages and represents the knowledge of a text in natural language. A corpus of more than 200 medical domain documents from the general medicine and palliative care areas was validated, demonstrating relevant knowledge elements for physicians. Results: Indicators for precision, recall and F-measure were applied. An ontology was created called the knowledge elements of the medical domain to manipulate patient information, which can be read or accessed from any other software platform. Conclusions: The developed software architecture extracts the medical knowledge of the clinical histories of patients from two different corpora. The architecture was validated using the metrics of information extraction systems.

A Knowledge-based Beam Search Method for a Single Machine Scheduling (단일 기계의 일정계획 문제에 대한 지식 베이스 빔 탐색 기법)

  • Kim, Seong-In;Kim, Sun-Uk;Yang, Heo-Yong;Kim, Sheung-Kwon
    • Journal of Korean Institute of Industrial Engineers
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    • v.19 no.3
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    • pp.11-23
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    • 1993
  • A basic problem of sequencing a set of independent tasks at a single facility with the objective of minimizing total tardiness is considered. A variation of beam search, called knowledge-based beam search, has been studied which uses domain knowledge to reduce the problem size with an evaluation function to generate nodes probable to include the optimal solution. Its performance behavior is compared with some existing algorithms.

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A study on Knowledge based-processing of information to shape cutting (형상 가공 정보의 지식 베이스 처리에 관한 연구)

  • 김희중;조우승;정재현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.970-973
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    • 1995
  • The proposal of this paper is the constructing of knowledge database with manufacturing information. This database contains characteristics of workpiece materials, cutting tools, NC machines, manufacturing processes, and work conditions. And all shape in the system are feature models such base plate, step, hole, pocket, boss, and slot. These information generate a final decision for machining process by the expert system.

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