• 산업경영시스템학회지
• /
• 제31권4호
• /
• pp.59-65
• /
• 2008

전문가시스템의 성공을 좌우하는 지식추출은 주요 애로공정 중의 하나로 알려져 있다 설상가상으로 전문가의 부재, 새로운 또는 복잡한 문제 등 영역의 특성상 전문가시스템 개발은 실패할 수 있다. 이러한 문제점을 극복하기 위하여 본 논문에서는 KACE 구조를 제안하였다 본 구조는 작업 발생기, 작업 실행기, 작업 평가기, 규칙 발생기와 전문가시스템 등 5개의 주요 요소로 구성되어 있다. 이 구조를 이용하여 NP-complete인 일정계획 문제에 대한 전문가시스템이 어떻게 구축될 수 있는가를 예시하였다.

• 한국정보과학회논문지:소프트웨어및응용
• /
• 제32권11호
• /
• pp.1047-1058
• /
• 2005

본 논문에서는 에이전트 지식 기반 화상회의 시스템의 유연성(flexibility)을 개선하기 위해서 기존의 서비스 조정 부분을 새롭게 설계한 전략적 지식 에이전트 아키텍처(Strategic-INTER Knowledge Architecture)를 제안한다. 제안한 아키텍처는 서비스 품질에 관한 문제에 있어서 발생한 문제의 성질이나 문제해결의 진행상황을 고려하면서 해결전략을 동적으로 변환하여 유연성 있게 해결한다 여기에서 유연성이란 시스템 내부에서 발생한 변동의 대응 및 이용자가 사용하기 편리한 서비스 제공 능력을 말한다. 한편, 제안 아키텍처를 화상회의 시스템에 적용한다. 본 아키텍처 적용에 의해서 화상회의 시스템의 에이전트 간 협조가 효과적으로 실행되었으며, 이전의 화상회의 시스템에 비해서 제약조건이 강화 된 경우에도 시스템의 유연한 대응이 가능하게 되었음을 제시한다.

• 지식경영연구
• /
• 제6권2호
• /
• pp.149-168
• /
• 2005

Owing to the limits of IT System-driven knowledge management(KM) for innovation processes, alternative KM methods has been suggested such as: (1) the knowledge network of experts or (2) communities-of-practice. This study analyzes two cases in terms of on-line expert knowledge networks for problem-solving, with the dimensions of analysis based on a theoretical framework. By analyzing the cases of S company's expert network and Naver's Ji-sik-iN, we found that system quality(e.g., ease of use, accessibility, and searching function), information/knowledge quality(e.g., usefulness, accuracy, and timeliness), knowledge-sharing culture, social capital and relevant reward systems are important for stimulating a Q&A-based problem-solving knowledge network. Implications of the findings and future research directions are discussed.

• 디지털산업정보학회논문지
• /
• 제6권1호
• /
• pp.91-103
• /
• 2010

This paper introduces efficient rule-based semantic search techniques to ontology-based knowledge commerce services. Primarily, the search techniques presented in this paper define rules of reasoning that are required for users to search using the concept of ontology, multiple characteristics, relations among concepts and data type. In addition, based on the defined rules, the rule-based reasoning techniques search ontology for knowledge commerce services. This paper explains the conversion rules of query which convert user's query language into semantic search words, and transitivity rules which enable users to search related tags, knowledge products and users. Rule-based sematic search techniques are also presented; these techniques comprise knowledge search modules that search ontology using validity examination of queries, query conversion modules for standardization and expansion of search words and rule-based reasoning. The techniques described in this paper can be applied to sematic knowledge search systems using tags, since transitivity reasoning, which uses tags, knowledge products, and relations among people, is possible. In addition, as related users can be searched using related tags, the techniques can also be employed to establish collaboration models or semantic communities.

• 통상정보연구
• /
• 제10권4호
• /
• pp.23-45
• /
• 2008

As Knowledge Management (KM) has taken an essential position of managing businesses in the knowledge-oriented society, many companies have adopted Knowledge Management System (KMS) into their organization. Many have questioned, however, in the result and the effectiveness in KMS. The purpose of this study is to explore ways to improve the current KMS by analyzing and identifying the causes that affect effectiveness of KMS. Blog which is an effective tool for communication could be used for KMS in order to make KMS more user friendly and more effective. This research is intended to conduct an empirical study on the differences between Blog-based KMS and Non-Blog-based KMS and suggest resolutions to potential issues of KMS. Blog-based KMS users show higher degree of satisfaction and usage toward their system. The result of this study suggests that the differences between two groups are primarily on system quality and knowledge quality, and many of these differences come from functions and characteristics of Blog.

• 제어로봇시스템학회논문지
• /
• 제14권5호
• /
• pp.473-482
• /
• 2008

In this paper we propose an expert system for content-based image retrieval with object database. The proposed system finds keyword by using knowledge-base and feature of extracted object, and retrieves image by using keyword based image retrieval method. The system can decrease error of image retrieval and save running time. The system also checks whether similar objects exist or not. If not, user can store information of object in object database. Proposed system is flexible and extensible, enabling experts to incrementally add more knowledge and information. Experimental results show that the proposed system is more effective than existing content-based image retrieval method in running time and precision.

• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제8권4호
• /
• pp.254-259
• /
• 2008

Uncertainty of result of context awareness always exists in any context-awareness computing. This falling-off in accuracy of context awareness result is mostly caused by the imperfectness and incompleteness of sensed data, because of this reasons, we must improve the accuracy of context awareness. In this article, we propose a novel approach to model the uncertain context by using ontology and context reasoning method based on Bayesian Network. Our context aware processing is divided into two parts; context modeling and context reasoning. The context modeling is based on ontology for facilitating knowledge reuse and sharing. The ontology facilitates the share and reuse of information over similar domains of not only the logical knowledge but also the uncertain knowledge. Also the ontology can be used to structure learning for Bayesian network. The context reasoning is based on Bayesian Networks for probabilistic inference to solve the uncertain reasoning in context-aware processing problem in a flexible and adaptive situation.

• 제어로봇시스템학회논문지
• /
• 제11권10호
• /
• pp.837-842
• /
• 2005

The computational modeling and simulation of complex biological systems are indispensable for new knowledge extraction from huge experimental data and ever growing vast amount of information in systems biology. Moreover, gathering and sharing of the existing information and newly-generated knowledge can speed up this research process. In this regard, several modeling projects have been undertaken for quantitatively analyzing the biological systems via the internet. They include Virtual Cell, JWS and OBIYagns. We also develop an integrated web-based environment, which facilitate investigation of dynamic behavior of cellular systems.

• 지능정보연구
• /
• 제11권2호
• /
• pp.123-149
• /
• 2005

최근 몇 년 동안 연구자들과 실무자들에게 중요한 이슈가 되고 있는 것은 기업의 성과를 향상시키기 위한 지식 관리 역량이 어떠한 구조로 이루어져 있는가 하는 것이다. 본 연구에서는 자원 근간 이론과 지식 근간 이론에 대한 심도 있는 논의를 통해 이 이슈에 대한 답을 찾고자하였다. 이 두 가지 이론들을 바탕으로 지식 관리에 관련된 기존 문헌의 심도 있는 검토와 실무자들과의 인터뷰를 통해 지식 관리 역량의 6가지 중요한 차원들을 도출하였다. 그런 다음, 지식관리 역량의 통합적 개념 모델을 제안하고 이 지식 관리 역량이 기업의 성과와 어떠한 관계가 있는지를 분석하였다. 한국에서 전사적으로 지식 관리 시스템을 도입한 기업들로부터 수집된 자료를 바탕으로 PLS 분석을 실시하여 본 연구에서 제시한 모델을 검증하였다. 이 분석을 통해 실무자들과 연구자들에게 지식 관리 역량에 대한 의미 있는 결과와 향후 보다 효과적인 지식관리에 대한 방향을 제시하였다.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
• /
• pp.314-317
• /
• 2006

This study proposes an ontology design framework to support the cooperation among devices by using PROLOG, Conceptual Graph (CG), and Resource Description Framework (RDF). Quite a large number of representation languages for representing ontology on the Web have been established over the last decade. Most of these researches are focused on design of independent resources description. In Semantic Web, however, cooperation ontology will be needed. In this study, the CG could make an entire conceptual view of knowledge and RDF can represent that knowledge. Then the PROLOG could support the natural inference based on that knowledge. Therefore, our proposed ontology will be used in the designing of Semantic Web-based cooperation systems.