• 제목/요약/키워드: Knowledge Processing

검색결과 1,488건 처리시간 0.034초

OLAP과 데이터마이닝을 이용한 조직내 분석지 생성에 관한 사례연구 (A Case Study of OLAP and Data Mining on the Analytical Knowledge Creation in Organizations)

  • 조재희
    • 지식경영연구
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    • 제5권1호
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    • pp.69-82
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    • 2004
  • Prior research on knowledge management focused more on the experiential knowledge based on individual's experience or knowhow than on the analytical knowledge extracted from corporate data. This study examines the effects of the data warehouse technology, especially OLAP(on line analytical processing) and data mining techniques, on the analytical knowledge creation in organizations, linking analytical knowledge creation to data analysis method through real world case studies.

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Meshless Finite Element Analysis of Three-Dimensional Problems Using Fuzzy Knowledge Processing

  • 이준성
    • 한국지능시스템학회논문지
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    • 제8권4호
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    • pp.1-7
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    • 1998
  • This paper describes a meshless of element-free method based on fuzzy knowledge processing. To efficiently simulate complicated physical phenomena with dynmics and non-linear ploblem using computational mechanics, special method is required such as parallel processing or adaptive analysis techniques. However, the conventional finite element method is too complicated to be employed in the above cases. In order to reduce the above complexity of the conventional finite element analysis systms, the so called meshles finite elements as an input information have been stuided. Node is generated if its distance form existing node points is similar to the node spacing fuction at the point. The node spacing function is well controlled by the fuzzy knowledge processing Practical performances of the present system are demonstrated through several three-dimensional(3D) problems.

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지식기반(Knowledge Base)으로서의 온톨로지 (Ontology)와 시멘틱 웹(Semantic Web)

  • 신효필
    • 정보처리학회지
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    • 제11권2호
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    • pp.64-75
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    • 2004
  • 90년대부터 인공지능(Artificial Intelligence)의 지식공학(knowledge engineering) 분야에서 온톨로지(Ontology)가 지식의 공유(sharing)와 재사용(reuse)관점에서 활발하게 사용되기 시작했다. 현재 온톨로지는 이런 지식공학 외에 에이전트에 기반한 소프트웨어 공학이나 전자상거래 등 여러 분야에 널리 퍼져 사용되고 있다. 그러나 그 적용범위의 다양함과 실체의 불분명함으로 인해 그 사용이 혼란스러운 것도 사실이다.(중략)

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웹 지식 데이터베이스를 활용한 원자력 중장기 연구개발 웹 기반 지식관리 모델 (Web-based Knowledge Management Model for Mid-Term and Long- Term Nuclear R&D Using Web Knowledge DataBase)

  • 정관성;한도희
    • 한국전자거래학회지
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    • 제5권2호
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    • pp.143-150
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    • 2000
  • This paper presents a methodology how to utilize management of research scheduling plan, processing, and results using Web Knowledge Database System, which integrates research knowledge management model under the Research & Development Environment. The content of this paper consists of description on utilization of the Web Knowledge Database System, sharing of the Research Knowledge through design data review, communications, and management of research knowledge flow during the Research & Development Period.

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지식정보처리역량 관점에서 중학생들의 과학탐구활동 어려움 분석 (Analysis of Middle School Students' Difficulties in Science Inquiry Activity in View of Knowledge and Information Processing Competence)

  • 손미현;정대홍;손정우
    • 한국과학교육학회지
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    • 제38권3호
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    • pp.441-449
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    • 2018
  • 지식정보처리역량은 정보화 사회에서 필수적인 역량 중 하나이며 과학교육과도 매우 연관성이 깊은 역량이다. 본 연구에서는 과학탐구 과정에서 나타나는 지식정보처리역량의 요소를 찾아보고 중학생들이 이와 관련하여 어떠한 어려움을 겪는지 알아보고자 하였다. 이를 위해 문헌 연구를 바탕으로 다양한 지식정보처리역량의 정의에서 공통된 요소인 정보 수집, 정보 처리, 정보 활용의 세 가지 요소를 추출하였다. 또한 서울시에 위치한 중학교에서 동아리 활동을 하는 학생 8명의 탐구활동을 5개월간 참여관찰 하여 자료(면담 및 관찰 전사본, 탐구 보고서, 탐구일지, 현장 노트 등)를 수집하였고, 지속적 비교분석법을 이용하여 수집된 자료를 범주화하고, 지시정보처리역량 요소와 관련된 어려움을 추출하여 분석하였다. 연구 결과 정보 수집 요소는 탐구를 진행하는 내내 관찰할 수 있었으며 정보 분석 요소는 가설설정 단계와 탐구 결과 분석 단계, 탐구 결과를 공유하는 단계에서 관찰할 수 있었다. 정보 활용 요소는 탐구 보고서 작성 및 공유를 위한 포스터 제작 등에서 확인할 수 있었다. 학생들이 겪은 어려움으로는 정보 수집에서는 정보 수집의 확실성, 체계적인 검색 전략, 정보의 신뢰성 등을 확보하지 못한 점에서 나타났다. 정보 분석에서 겪는 어려움은 분석 프로그램의 사용, 정보 변환, 연계 정보의 해석 등의 미숙함에서 나타났다. 정보 활용에서 겪는 어려움은 정보의 조직화, 효과적 표현 능력의 부족함에서 나타났다. 이 연구는 지식정보처리역량이 과학교육에서 어떠한 방식으로 자리 잡을 수 있는지 그 단초를 제공하였다는 점에 의의가 있다.

지식수준과 종결욕구가 전반적 평가에 미치는 영향 : 상황적 심각성의 조절효과를 중심으로 (The Impacts of Knowledge Level and Need for Closure and on Overall Evaluations : Considering the Moderating Role of Situational Severity)

  • 김천길
    • 지식경영연구
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    • 제10권4호
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    • pp.115-131
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    • 2009
  • This paper attempts to show that consumers' own information processing mode can play an important role in inducing favorable product evaluations, which is the most key goal of marketing. Th elaboration likelihood model contends that consumers' motivation and knowledge, in addition to the outside marketing information, affects the evaluation process. On the other hand, The resource matching hypothesis suggests that an excessively high level of information processing may lead to negative evaluations. In this study, Need for closure exacerbated overall evaluations of consumers. Such relationship was more salient in the condition of low severity that in the condition of high severity. Also under the situation of low severity, consumers with high level of relevant knowledge made evaluations more favorable, compared to the consumers of low knowledge. On contrast under the situation of high severity, relevant knowledge leaded to less favorable evaluations. This experiment identifies the appropriateness of the elaboration likelihood model and the resource matching hypothesis. Especially This study suggests an rare example that consumers' knowledge may not paly an desirable role in making their judgments.

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그리드 기반의 고성능 과학기술지식처리 프레임워크 개발 (Development of a Grid-based Framework for High-Performance Scientific Knowledge Discovery)

  • 정창후;최성필;윤화묵;최윤수
    • 한국콘텐츠학회논문지
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    • 제9권12호
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    • pp.877-885
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    • 2009
  • 본 논문은 그리드 컴퓨팅을 이용한 고성능 과학기술지식처리 프레임워크인 SINDI-Grid의 개발에 관련된 연구이다. SINDI-Grid 프레임워크는 대용량의 데이터 저장소 및 고속의 컴퓨팅 파워를 제공하는 그리드 컴퓨팅의 장점을 이용하여 분산 데이터 분석과 과학기술지식처리를 위한 다양한 그리드 서비스들을 제공한다. 그리고 SINDI-Workflow 도구는 이러한 서비스들을 이용하여 다양한 지식처리 알고리즘을 통합하는 복잡한 과학기술지식처리 애플리케이션을 설계하고 실행하는 역할을 수행한다.

A Note on Computing the Crisp Order Context of a Fuzzy Formal Context for Knowledge Reduction

  • Singh, Prem Kumar;Kumar, Ch. Aswani
    • Journal of Information Processing Systems
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    • 제11권2호
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    • pp.184-204
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    • 2015
  • Fuzzy Formal Concept Analysis (FCA) is a mathematical tool for the effective representation of imprecise and vague knowledge. However, with a large number of formal concepts from a fuzzy context, the task of knowledge representation becomes complex. Hence, knowledge reduction is an important issue in FCA with a fuzzy setting. The purpose of this current study is to address this issue by proposing a method that computes the corresponding crisp order for the fuzzy relation in a given fuzzy formal context. The obtained formal context using the proposed method provides a fewer number of concepts when compared to original fuzzy context. The resultant lattice structure is a reduced form of its corresponding fuzzy concept lattice and preserves the specialized and generalized concepts, as well as stability. This study also shows a step-by-step demonstration of the proposed method and its application.

Developed and implementation of a knowledge acquisition methodology for seed material processing expert systems

  • Arkhipova, Paper I.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.679-684
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    • 1996
  • The work was aimed at realize the problem of seed processing . Solving this problem it was ascertained that the existing mathematical methods are reliable enough, but they are used practically very seldom. The work offers to use the expert system technology which allows to solve problems connected with practical knowledge of experts in the region of investigation effectively. The method of knowledge structuring and analizing as well as technique of knowledge acquisition which is necessary for realization of this technology are worked-out in the work. As the result applying the worked-out method the prototypes of the expert system (ES) are created : -ES " Sieves " ; research prototype for the sieve choice for the seed sorting machines -ES " Diagnostics " ; displaying prototype for the technological determination of action disrepair of seed sorting machines.

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An Intuitionistic Fuzzy Approach to Classify the User Based on an Assessment of the Learner's Knowledge Level in E-Learning Decision-Making

  • Goyal, Mukta;Yadav, Divakar;Tripathi, Alka
    • Journal of Information Processing Systems
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    • 제13권1호
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    • pp.57-67
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    • 2017
  • In this paper, Atanassov's intuitionistic fuzzy set theory is used to handle the uncertainty of students' knowledgeon domain concepts in an E-learning system. Their knowledge on these domain concepts has been collected from tests that were conducted during their learning phase. Atanassov's intuitionistic fuzzy user model is proposed to deal with vagueness in the user's knowledge description in domain concepts. The user model uses Atanassov's intuitionistic fuzzy sets for knowledge representation and linguistic rules for updating the user model. The scores obtained by each student were collected in this model and the decision about the students' knowledge acquisition for each concept whether completely learned, completely known, partially known or completely unknown were placed into the information table. Finally, it has been found that the proposed scheme is more appropriate than the fuzzy scheme.