• 제목/요약/키워드: Knowledge assumption

검색결과 150건 처리시간 0.027초

온톨로지 Open World 추론과 규칙 Closed World 추론의 통합 (Integration of Ontology Open-World and Rule Closed-World Reasoning)

  • 최정화;박영택
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제37권4호
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    • pp.282-296
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    • 2010
  • OWL 온톨로지는 실세계의 도메인 지식을 모델링 하는데 적합하다. 또한 명백하게 정의된 지식으로부터 암시적인 새로운 지식을 추론할 수 있다. 하지만 이 모델링된 지식은 완전할 수 없다. 사람이 가지고 있는 모든 상식을 모델링 할 수 없기 때문이다. 온톨로지는 완전한 지식표현을 위한 무결성 제약조건과 예외 처리와 같은 비단조 추론을 지원할 방법이 없다. 디폴트 규칙은 온톨로지 안의 특정 클래스에 대한 예외를 처리할 수 있다. 또한 무결성 제약은 온톨로지에 정의된 클래스의 제한조건(restriction)에 인스턴스가 일관되게 할 수 있다. 본 논문에서는 Open World Assumption(OWA) 기반의 온톨로지와 Closed World Assumption(CWA) 기반의 비단조 추론을 지원하는 규칙의 지식베이스를 통합하여 Open World 와 Closed World 추론을 모두 지원하는 실질적인 추론 시스템을 제안한다. 이 시스템은 온톨로지에 정의된 불완전한 개념을 다룰 때 OWA기반이라서 발생하는 문제점을 ASP(Answer Set Programming)를 사용하여 해결방안을 제안한다. ASP는 논리 프로그래밍 언어로써 비단조 추론을 허용하며, 서술 논리 지식베이스에 CWA 기반의 질의를 가능하게 한다. 제안하는 시스템은 Protege에서 제공하는 Pizza 온톨로지를 예로써 비단조 추론이 필요한 경우를 보이고, 잘 알려진 온톨로지들로 성능 평가하여 본 시스템의 정당(sound)하고 완전(complete)함을 증명한다.

가상 프로젝트 조직의 개인관점 지식역량 평가 (Knowledge Evaluation of Individual Competence for Virtual Project Organization)

  • 이경휘;김철한;우훈식
    • 산업경영시스템학회지
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    • 제35권4호
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    • pp.133-141
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    • 2012
  • Virtual project organization may be recognized as one of the promising business models in which many knowledge sources externalize through cross boundaries of knowledge-based organizations. This paper proposes a knowledge competence evaluation of virtual project organization based on the following perspectives: 1) Individual knowledge perspective, 2) Activity-oriented knowledge perspective, and 3) Knowledge-driven social network perspective. In the framework, individual knowledge competence having experienced or learned from knowledge-based activities and virtual networks in the project, should be evaluated according to the assumption that knowledge and collaboration competence depends on the activities and networks acquired proportionally by the past participation to projects. An illustrative SI example is given in order to validate the proposed evaluation and computing procedure.

포스트 모더니즘적 관점에서 본 아동발달지식과 유아기 교사교육 (Child Development Knowledge and Early Childhood Teacher Education: A Post Modern Perspective)

  • 이연승
    • 아동학회지
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    • 제21권3호
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    • pp.41-51
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    • 2000
  • This study discusses the interpretation and application of a post modern perspective to child development knowledge and early childhood teacher education. The survey of literature focused on the post modern approach to child development knowledge and early childhood teacher education, research in the reassessment of child development knowledge as it is challenged by the post modern perspective, and deconstruction of both child development knowledge and early childhood teacher education. It was concluded that child development knowledge is necessary but insufficient to early childhood teacher education. In the post modern perspective, the movement toward fostering "reflective practitioners" and basic knowledge base is more significant. Therefore, the responsibility of academics is to walk the fine line between presenting a formal knowledge base so that students gain assumption to guide their thinking and practice, critiquing both theory and derived practices.

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데이터베이스로부터의 선형계획모형 추출방법에 대한 연구 (Linear Programming Model Discovery from Databases)

  • 권오병;김윤호
    • 한국경영과학회:학술대회논문집
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    • 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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    • pp.290-293
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    • 2000
  • Knowledge discovery refers to the overall process of discovering useful knowledge from data. The linear programming model is a special form of useful knowledge that is embedded in a database. Since formulating models from scratch requires knowledge-intensive efforts, knowledge-based formulation support systems have been proposed in the DSS area. However, they rely on the strict assumption that sufficient domain knowledge should already be captured as a specific knowledge representation form. Hence, the purpose of this paper is to propose a methodology that finds useful knowledge on building linear programming models from a database. The methodology consists of two parts. The first part is to find s first-cut model based on a data dictionary. To do so, we applied the GPS algorithm. The second part is to discover a second-cut model by applying neural network technique. An illustrative example is described to show the feasibility of the proposed methodology.

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벤처기업의 지식경영 성공요인 도출에 관한 연구: 코스닥 상장기업을 대상으로 (A Study on the Key Success Factors for Knowledge Management of the Venture Businesses Listed in KOSDAQ)

  • 권순재;이건창;최봉
    • 지식경영연구
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    • 제7권1호
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    • pp.65-80
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    • 2006
  • Recently, Korean economy is boosted by the active introduction of many venture businesses full of entrepreneurship. It has been widely accepted implicitly that success of the venture business originates from unique style of knowledge management. This assumption looks natural when we consider the fact that success of the venture business heavily depends on differentiated intelligent asset or knowledge. However, such implicit belief has never been tested empirically. To fill the research void like this, this paper proposes an empirical derivation of key success factors from the venture businesses listed in KOSDAQ. To add rigor to our results, we performed regression analysis by using the derived key success factors as independent variables, and introducing organization efficiency, job satisfaction, and accomplishment motivation as dependent variables. Regression results showed that our approach is justified from the statistical perspective.

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GPS와 인공신경망을 활용한 데이터베이스로부터의 선형계획모형 발견법 (Linear Programming Model Discovery from Databases Using GPS and Artificial Neural Networks)

  • 권오병;양진설
    • 한국경영과학회지
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    • 제25권3호
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    • pp.91-107
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    • 2000
  • The linear programming model is a special form of useful knowledge that is embedded in a database. Since formulating models from scratch requires knowledge-intensive efforts, knowledge-based formulation support systems have been proposed in the Decision Support Systems area. However, they rely on the assumption that sufficient domain knowledge should already be captured as a specific knowledge representation form. Hence, the purpose of this paper is to propose a methodology that finds useful knowledge on building linear programming models from a database. The methodology consists of two parts. The first part is to find s first-cut model based on a data dictionary. To do so, we applied the General Problem Solver(GPS) algorithm. The second part is to discover a second-cut model by applying neural network technique. An illustrative example is described to show the feasibility of the proposed methodology.

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Efficient Proof of Vote Validity Without Honest-Verifier Assumption in Homomorphic E-Voting

  • Peng, Kun
    • Journal of Information Processing Systems
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    • 제7권3호
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    • pp.549-560
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    • 2011
  • Vote validity proof and verification is an efficiency bottleneck and privacy drawback in homomorphic e-voting. The existing vote validity proof technique is inefficient and only achieves honest-verifier zero knowledge. In this paper, an efficient proof and verification technique is proposed to guarantee vote validity in homomorphic e-voting. The new proof technique is mainly based on hash function operations that only need a very small number of costly public key cryptographic operations. It can handle untrusted verifiers and achieve stronger zero knowledge privacy. As a result, the efficiency and privacy of homomorphic e-voting applications will be significantly improved.

우리말 문헌정보검색을 위한 지식베이스 설계에 관한 연구 (A Study on the Design of a Knowledge Base for the Korean Retrieval)

  • 장재경
    • 정보관리학회지
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    • 제3권1호
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    • pp.70-102
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    • 1986
  • 본 연구는 인공지능의 한 응용분야인 전문가 시스팀중, 그의 핵심 영역인 지식베이스와 추론기제를 문헌정보검색을 위하여 개발하였다. 이는 어느 특정주제를 검색하고자 하는 이용자는 일반적으로 그 주제분야에 대한 선행지식이 부족할 것이다는 가정하에 선행지식이 부족한 이용자의 질의어를 시스팀에서 지적으로 처리하도록 지식베이스를 설계하어 결과적으로 정보검색의 효율을 향상시킴을 목적으로 한다. 또한 우리말 문헌정보의 주제어에서 주가 되는 복합명사의 특성을 구조적으로 분석하여 지식베이스에 포함시켰다.

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Influence of National Culture on Staff Preferences to Knowledge Sharing Practices: the Case of Saudi Arabia

  • Al Hazmi, Hassan S.J.;Mohamed, Sherif
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.454-458
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    • 2015
  • A number of practices for sharing knowledge has been recommended in the literature. These practices, however, are considered to be applicable, universally. This assumption is challenged by this paper which empirically explores the relationship between national culture and knowledge sharing practices in the context of procuring educational buildings in Saudi Arabia. The paper reports on a research study with the aim to identify whether national culture dimensions could be significant variables that impact upon staff preferences in relation to project knowledge sharing practices. The paper critically reviews the literature to identify appropriate measures for knowledge sharing practices. It explores the means by which public sectors professional exchange project knowledge; evaluates policies and level of technical support needed to facilitate knowledge sharing, then proceeds to how employees perceive the benefits they will gain by practicing project knowledge sharing, and their role in this process. The paper tests the relationships among the research constructs based on data collected from 115 project managers responsible for the procurement of educational buildings in Saudi Arabia. The paper provides empirical evidence that the national culture has a significant influence on staff preferences. In light of the research findings the paper concludes with practical recommendations for project knowledge sharing practices that are in line with staff preferences and their cultural orientation. The recommendations should facilitate a more effective application of knowledge sharing practices.

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갑상선 질환의 진단을 위한 지식기반 의료진단 시스템의 개발 (Development a Knowledge-based Medical Diagnosing System for Thyroid Disorders)

  • 조권익;김성희;노재범
    • 산업공학
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    • 제3권2호
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    • pp.1-11
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    • 1990
  • In this study, we will present a knowledge-based consulting system, called THYCONS, for diagnosing thyroid disorders. It has been developed to make the knowledge and expertise of the human expert more widely available, therefore achieving a high-quality diagnosis. Frames will be used to represent the medical knowledge of thyroid disorders, and several rules are attached in each slot of a frame. The uncertainty of diagnostic processes is manipulated by the subjective Bayesian method under the assumption that the pieces of evidence are conditionally independent. Searching for the group of diagnostic tests to be carried out and their optimum sequences will be established in order to infer a more correct diagnosis on the basis of maximum information gain with cost and time restrictions. Additionally. differential diagnosis will be carried out based on the information gained.

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