• Educational Technology International
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• 제17권2호
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• pp.253-271
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• 2016

This study investigated the effect of generative concept maps according to learning achievements and cognitive load. A total of 78 students in the first grade of middle school participated in this study. Before the experimental treatment was implemented, students had to fill out a questionnaire assessing prior knowledge. The study was designed where all the students were presented the same learning contents regarding photosynthesis; however, the two experimental groups were provided with different concept map methods: a learner-generative concept map (GCM) and an instructor-provided concept map (PCM). GCM students were asked to make a concept map by themselves in small groups while they are reading material. PCM students were instructed to study in small groups in order to read the material; however, they were provided a concept map developed by their teacher. The control group (CG) had the teacher present the learning contents in traditional lecture format with no accompanying concept map. The results show that there were significant differences in the achievements among the groups. CG showed higher achievement than both the experimental groups. There was also a significant difference in cognitive load. Although the GCM group did not obtain higher achievement than the other groups, the GCM group showed higher mental effort and lower physical fatigue than the other groups. The GCM group might have invested more effort to find and connect ideas when drawing their concept map with peers which is unlike the conditions for the PCM group and CG. In conclusion, we should consider applying GCM in teaching and learning design in order to increase learning achievement and decrease extraneous cognitive load.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2003년도 추계학술대회 논문요약집
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• pp.163-163
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• 2003

• 한국정보시스템학회지:정보시스템연구
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• 제2권
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• pp.127-140
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• 1993

• 한국지능시스템학회논문지
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• 제8권6호
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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.

• 정보관리연구
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• 제36권1호
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• pp.103-124
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• 2005

기관이나 회사에서 도입하는 지식관리 시스템에서 효율적인 지식의 저장, 탐색 및 검색에 관련되는 지식관리 아키텍처에 관해 알아보았다. 먼저 기존에 발표된 문헌을 중심으로 지식관리 아키텍처의 개념을 살펴보았으며, 지금까지 발표된 관련된 이론을 정리해보고, 실제 사례에서 지식관리 아키텍처를 어떻게 운용하는지 살펴보았다. 이로써 실제 지식관리 아키텍처가 어떻게 활용되고, 어떤 특성을 가지고, 어떤 부분에 주력이 되어 있는지 알아봄으로써, 이를 바탕으로 가장 바람직하고 효율적인 발전방향을 제시해보고자 하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 추계학술대회 학술발표 논문집
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• pp.461-467
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• 1998

Although many methods of knowledge acquisition has been developed in the expert systems field, such a need for causal knowledge acquisition has 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 implications of FCM by proposing fuzzy causal relationship and fuzzy partially causal relationship. To test the validity of our proposed approcach, we prototyped a causal knowledge-driven inference engine named CAKES and then experime ted with some illustrative examples.

• 지식경영연구
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• 제9권4호
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• pp.77-89
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• 2008

Vietnam is very attractive market to Korean firm. Because of changing consumer needs, competitive actions, or any other changes in Vietnam marketing environment over time, managers may need to reposition their brands through new marketing communication campaigns. For repositioning, core identity can be an important strategic objective for market managers. Using data from Vietnam, this research aims to determine core identity and to make repositioning plan with it and find considerable results.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제21권7호
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• pp.452-457
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• 2015

본 논문에서는 공간 객체들 간의 위상 관계와 방향 관계에 관한 다양한 정성적, 정량적 질의 처리 기능을 제공할 뿐만 아니라, 초기 지식 베이스에 관한 공간 추론을 통해 보다 풍부한 질의 결과를 도출할 수 있는 공간 질의 처리기인 SQUERY를 제안한다. 본 논문에서 제안하는 공간 질의 처리기는 풍부한 질의 결과 도출을 위해, 초기 공간 지식베이스에 전향 공간 추론을 수행하여 공간 지식베이스를 미리 확장해둔다. 또한, 본 시스템은 공간 객체들 간의 위상 및 방향 관계를 나타내는 정성적 공간 지식들뿐만 아니라, 개별 공간 객체의 기하학적 데이터를 포함하는 정량적 공간 지식들도 기하학적 연산을 통해 공간 질의 처리에 이용할 수 있는 기능을 제공한다. OSM(Open Street Map) 공간 지식 베이스를 이용한 실험을 통해, 본 논문에서 제안하는 공간 질의 처리기의 높은 성능을 확인할 수 있었다.

• 한국정밀공학회지
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• 제23권3호
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• pp.22-31
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• 2006

This paper introduces an approach to an ontology-based knowledge framework for product life cycle management (PLM). Participants in a product life cycle want to share comprehensive product knowledge without any ambiguity and heterogeneity. However, previous knowledge management approaches are limited in providing those aspects. Therefore, we suggest an ontology-based knowledge framework including knowledge maps, axioms and specific knowledge far domain. The bottom level, the axiom, specifies the semantics of concepts and relations of knowledge so that ambiguity of the semantics can be alleviated. The middle level is a product development knowledge map; it defines the concepts and the relations of the product domain common knowledge and guides engineers to process their engineering decisions. The middle level is then classified further into more detailed levels, such as generic product level, specific product level, product version level, and product item level for PLM. The top level is specialized knowledge fer a specific domain that gives the solution of a specific task or problem. It is classified into three knowledge types: expert knowledge, engineering function knowledge, and data-analysis-based knowledge. This proposed framework is based on ontology to accommodate a comprehensive range of unambiguous knowledge for PLM and is represented with first-order logic to maintain a uniform representation.

• 한국콘텐츠학회논문지
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• 제9권12호
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• pp.19-30
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• 2009

최근 각광을 받고 있는 지도(이하 맵)를 활용한 서비스는 맵에 접근한 후 인터페이스를 통해 다양한 매쉬업 형태의 결과를 제공하는 방식이다. 이러한 서비스는 사용자에게 정확한 정보를 제공할 수는 있지만 맵의 재활용은 어렵다. 본 논문의 스케치맵 시스템은 기존의 대형 맵 시스템과는 달리 목적에 부합하는 특정 지점과 경로를 XML 문서로 표현한다. 또한, 스케치맵 간에 클러스터링 방법을 사용함으로써 맵에서 표현되는 지점을 최적의 내용으로 갱신한다. 그 결과로서, 목적지점에 대한 경로를 간단하게 약도로 표현하기 위해 설계된 맵 서비스 시스템이다. 본 시스템은 스케치 맵의 XML 문서 입력에 대하여 스케치맵 생성기에서 분석 분할 클러스터링의 과정을 통해 유효한 형태의 스케치맵을 생성한다. 스케치맵의 분할 및 병합을 위한 질의처리 방법으로는 LCS(Longest Common Subsequence) 알고리즘을 사용하였다. 또한, 본 스케치맵 시스템에 대한 기대효과를 시뮬레이션으로 제시하여 정보와 지식을 공유하는 보이는 맵들이 모여 거대한 맵을 형성함으로서 새로운 검색 포털로서의 역할을 수행할 수 있음을 보인다.