• 제목/요약/키워드: Knowledge Classification

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Mapping of the Universe of Knowledge in Different Classification Schemes

  • Satija, M.P.;Martinez-Avila, Daniel
    • International Journal of Knowledge Content Development & Technology
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    • 제7권2호
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    • pp.85-105
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    • 2017
  • Given the variety of approaches to mapping the universe of knowledge that have been presented and discussed in the literature, the purpose of this paper is to systematize their main principles and their applications in the major general modern library classification schemes. We conducted an analysis of the literature on classification and the main classification systems, namely Dewey/Universal Decimal Classification, Cutter's Expansive Classification, Subject Classification of J.D. Brown, Colon Classification, Library of Congress Classification, Bibliographic Classification, Rider's International Classification, Bibliothecal Bibliographic Klassification (BBK), and Broad System of Ordering (BSO). We conclude that the arrangement of the main classes can be done following four principles that are not mutually exclusive: ideological principle, social purpose principle, scientific order, and division by discipline. The paper provides examples and analysis of each system. We also conclude that as knowledge is ever-changing, classifications also change and present a different structure of knowledge depending upon the society and time of their design.

Blackboard Scheduler Control Knowledge for Recursive Heuristic Classification

  • Park, Young-Tack
    • 지능정보연구
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    • 제1권1호
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    • pp.61-72
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    • 1995
  • Dynamic and explicit ordering of strategies is a key process in modeling knowledge-level problem-solving behavior. This paper addressed the important problem of howl to make the scheduler more knowledge-intensive in a way that facilitates the acquisition, integration, and maintenance of the scheduler control knowledge. The solution a, pp.oach described in this paper involved formulating the scheduler task as a heuristic classification problem, and then implementing it as a classification expert system. By doing this, the wide spectrum of known methods of acquiring, refining, and maintaining the knowledge of a classification expert system are a, pp.icable to the scheduler control knowledge. One important innovation of this research is that of recursive heuristic classification : this paper demonstrates that it is possible to formulate and solve a key subcomponent of heuristic classification as heuristic classification problem. Another key innovation is the creation of a method of dynamic heuristic classification : the classification alternatives that are selected among are dynamically generated in real-time and then evidence is gathered for and aginst these alternatives. In contrast, the normal model of heuristic classification is that of structured selection between a set of preenumerated fixed alternatives.

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지식의 공유 및 활용을 위한 지식분류체계 설계방안 - 한국원자력연구소를 중심으로 (Construction of Knowledge Classification Scheme for Sharing and Usage of Knowledge : a Case Study in KAERI)

  • 유재복
    • 정보관리연구
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    • 제35권1호
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    • pp.1-27
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    • 2004
  • 지식경영에 있어서 조직 구성원들 간에 지식을 공유하는 가장 기초적이면서 기틀이 되는 것은 공유할 지식을 체계적으로 관리할 수 있는 지식분류체계를 구축하는 것이다. 이에 이 연구에서는 지식경영의 도입단계에 있는 한국원자력연구소에서 조직 구성원들이 실제로 지식을 효율적으로 공유할 수 있도록 하기 위한 최적의 지식분류체계를 구축하였다. 이 연구에서는 지식경영의 본격적인 도입에 따라 한국원자력연구소에서 실제로 활용할 수 있는 전소차원의 지식분류체계를 구축하기 위해서, 기본적인 분류체계 설계원칙 아래 기존의 다양한 분류체계를 참고하여, (1) 지식분류체계 초안 작성단계, (2) 지식분류체계 수정안 작성단계, (3) 지식분류체계 검증 및 확정단계 등과 같이 3단계 과정을 거쳐 지식분류체계를 완성하였다. 완성된 지식분류체계는 기술적인 측면과 조직체계를 감안한 미래지향적인 분류체계로서 총 218항목으로서, 대분류 8항목, 중분류 43항목, 소분류 167항으로 구성되어 있다. 여기에서 설계된 지식분류체계는 한국원자력연구소에서 지식경영을 운영할 때 지식의 체계적인 관리를 통한 조직 구성원들의 지식 공유 및 활용의 가장 기초적이면서 중요한 틀로써 이용될 수 있을 것이다. 아울러 지식분류체계 자체는 물론 지식분류체계의 초안 작성에서부터 최종안을 완성하기까지의 제반 설계과정 및 방법론적인 측면은 지식경영을 도입하려는 타 연구기관이나 기업체 등에서 지식분류체계를 설계할 때 매우 유용하게 활용될 수 있을 것으로본다.

비즈니스 기능 중심 지식자산 분류체계에 따른 기업 지식관리 사례 탐색 (Exploring Corporate Knowledge Management Cases Based on Business Function Oriented Knowledge Asset Classification Schema)

  • 김인숙;최병구;이희석
    • 경영정보학연구
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    • 제3권2호
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    • pp.245-260
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    • 2001
  • While past knowledge management researches have focused on conceptualization and strategic implications, knowledge asset researches attempt to provide practical guidelines for companies. However, each research classifies knowledge asset from its own perspective, and thus it is not a trivial task to leverage consistent and inclusive criteria in managing corporate knowledge asset. The objective of this paper is to develop a knowledge asset classification schema on the basis of the three business functions: customer relationship management, product innovation, and infrastructure management. To demonstrate the feasibility of our schema, it has been applied to 9 Korean corporations. Knowledge assets are evaluated according to core capabilities, which are main drivers of sustainable competitive advantages. The results of case study show that the leveraged classification schema reflects current knowledge asset management and characteristics of corporations. Our finding is that most top-quality knowledge management corporations are likely to develop well-balanced knowledge asset.

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지식과 분류의 연관성에 관한 연구 (A Study on the Link Between Knowledge and Classification)

  • 정연경
    • 한국비블리아학회지
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    • 제11권2호
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    • pp.5-23
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    • 2000
  • 본 연구는 지식과 분류 사이의 연관성을 고찰하였다. 분류표는 분류 대상의 지식을 표현하는 구조로 그 안의 포함되는 내용과 다양한 관계를 표현해 주는데 대표적인 4가지 분류학적 접근방식인 계층 구조, 나무 구조, 패러다임. 패싯 분석을 새로운 지식의 창조와 발견의 측면에서 장단점을 기술하였다. 이를 바탕으로 지식과 분류 과정이 서로 영향을 주고받는 방식을 확인하고, 미래의 보다나은 새로운 분류 방식의 필요성과 그 가능성을 제시하였다.

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개방형 한국어 지식 대사전 전문용어 신분류 체계 설정 및 재분류 (A New Terminology Classification System for the Open Korean Knowledge Dictionary and Reclassification)

  • 황유모;김정훈
    • 전기학회논문지
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    • 제64권2호
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    • pp.214-221
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    • 2015
  • A new classification system with 9 main categories and 56 subcategories for the Open Korean Knowledge Dictionary is proposed. The classification system setup is to prepare for the standard classification system to be used to manage effectively vast of terminologies which were published in the Open Korean Knowledge Dictionary and is meant to enhance the fifteen-year old classification system for the standard korean great dictionary to match up to the trend of the modern terminology. The new terminology classification system covering all the academic areas such as humanity, sociology, politics, science, medicine, agriculture, engineering, etc, is designed and proposed after investigating several classification systems. The classification system setup procedures follow as ${\circ}$ The classification system is designed and planed by both the classification system and the academic expert. ${\circ}$ Classification system design covers all the academic areas following National Science and Technology standard classification system after investigating several classification systems such as the National Research Foundation, National Science and Technology Standard Act, Ministry of Knowledge Economy. ${\circ}$ Poll and survey is made to collect comments from total 93 members of several academic areas. ${\circ}$ The poll result is reviewed among working group members and utilized to update the new terminology classification system. Reclassifications are made for the around 200,000 terms in electricity, computer, medicine, pharmacy, biology, and economics according to the new terminology classification system.

도서분류자동화를 위한 지식베이스의 설계에 관한 연구

  • 이경호
    • 한국도서관정보학회지
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    • 제18권
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    • pp.139-192
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    • 1991
  • Though the computer has become deeply entrenched as the major tool in information processing(library works), it may be obvious that automatic book classification techniques ate still under experimentation, and the techniques have not yet been tested against the criterion of usefulness. The purpose of this study is to design of knowledge base for automatic book classification which can be put to use in library operation, and to present a methodology of application of the automatic classification into the library. Since the enumerative classification schemes which are existing are manual systems, it cannot be applied to the automatic classification, the principle of faceted classification based on concept analysis is brought in and studied. The result of this study are summarized as follows : 1. The design of knowledge base confined the field of agriculture and medicine. 2. If title is entered by the computer keyboard it will be searched in knowledge base, and then be classified by the principle of automatic classification. 3. Program flowcharts are designed as a bases of classification procedures for automatic subject recognition and classification. 4. 283 books in agriculture, 196 books in medicine were drawn at random from Taegu University Library and Young-Nal Medical Center Library respectively. 5. The experiment of automatic classification is performed 143 books in agriculture 166 books in medicine except for other subject books. 6. It was proved that automatic book classification is possible by design of knowledge base. In addition the expected values from design of knowledge base for automatic book classification are as follows : 1. The prompt and accurate process of classification is possible. 2. Though some title is classified in any library, it can be classified the some classification number by a program. 3. The user can retrieve the classification codes of books for which he or she wants to search through the computer. 4. Since the concept coordination method is employed the representing of a multisubject concept is make simple. 5. By performing automatic book classification the automation of total system can be achieved. 6. The efficient international information transfer will be advanced since all the institution maintain unified classification number.

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Land Use Classification of TM Imagery in Hilly Areas: Integration of Image Processing and Expert Knowledge

  • Ding, Feng;Chen, Wenhui;Zheng, Daxian
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2003년도 Proceedings of ACRS 2003 ISRS
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    • pp.1329-1331
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    • 2003
  • Improvement of the classification accuracy is one of the major concerns in the field of remote sensing application research in recent years. Previous research shows that the accuracy of the conventional classification methods based only on the original spectral information were usually unsatisfied and need to be refined by manual edit. This present paper describes a method of combining the image processing, ancillary data (such as digital elevation model) and expert knowledge (especially the knowledge of local professionals) to improve the efficiency and accuracy of the satellite image classification in hilly land. Firstly, the Landsat TM data were geo-referenced. Secondly, the individual bands of the image were intensitynormalized and the normalized difference vegetation index (NDVI) image was also generated. Thirdly, a set of sample pixels (collected from field survey) were utilized to discover their corresponding DN (digital number) ranges in the NDVI image, and to explore the relationships between land use type and its corresponding spectral features . Then, using the knowledge discovered from previous steps as well as knowledge from local professionals, with the support of GIS technology and the ancillary data, a set of conditional statements were applied to perform the TM imagery classification. The results showed that the integration of image processing and spatial analysis functions in GIS improved the overall classification result if compared with the conventional methods.

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욕창 분류체계교육프로그램이 병원간호사의 욕창 분류체계와 실금관련 피부염에 대한 지식과 시각적 감별 능력에 미치는 효과 (Effects of Pressure Ulcer Classification System Education Program on Knowledge and Visual Discrimination Ability of Pressure Ulcer Classification and Incontinence-Associated Dermatitis for Hospital Nurses)

  • 이윤진;박승미
    • Journal of Korean Biological Nursing Science
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    • 제16권4호
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    • pp.342-348
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    • 2014
  • Purpose: The purpose of this study was to examine the effects of pressure ulcer classification system education on hospital nurses' knowledge and visual discrimination ability of pressure ulcer classification system and incontinence-associated dermatitis. Methods: One group pre- and post-test was used. A convenience sample of 96 nurses participating in pressure ulcer classification system education, were enrolled in single institute. The education program was composed of a 50-minute lecture on pressure ulcer classification system and case-studies. The pressure ulcer classification system and incontinence-associated dermatitis knowledge test and visual discrimination tool, consisting of 21 photographs including clinical information were used. Paired t-test was performed using SPSS/WIN 18.0. Results: The overall mean difference of pressure ulcer classification system knowledge (t=4.67, p<.001) and visual discrimination ability (t=10.58, p<.001) were statistically and significantly increased after pressure ulcer classification system education. Conclusion: Overall understanding of pressure ulcer classification system and incontinence-associated dermatitis after pressure ulcer classification system education was increased, but tended to have lack of visual discrimination ability regarding stage III, suspected deep tissue injury. Differentiated continuing education based on clinical practice is needed to improve knowledge and visual discrimination ability for pressure ulcer classification system, and comparison experiment research is required to evaluate its effects.

Features, Functions and Components of a Library Classification System in the LIS tradition for the e-Environment

  • Satija, M.P.;Martinez-Avila, Daniel
    • Journal of Information Science Theory and Practice
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    • 제3권4호
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    • pp.62-77
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    • 2015
  • This paper describes qualities of a library classification system that are commonly discussed in the LIS tradition and literature, and explains such a system’s three main functions, namely knowledge mapping, information retrieval, and shelf arrangement. In this vein, the paper states the functional requirements of bibliographic classifications, which broadly are subject collocation and facilitation of browsing the collection. It explains with details the components of a library classification system and their functions. The major components are schedules, notations, and index. It also states their distinguished features, such as generalia class, form divisions, book numbers, and devices for number synthesis which are not required in a knowledge classification. It illustrates with examples from the WebDewey good examples of added features of an online library classification system. It emphasizes that institutional backup and a revision machinery are essential for a classification to survive and remain relevant in the print and e-environment.