• Asia pacific journal of information systems
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• v.7 no.2
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• pp.163-183
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• 1997

As object models and hybrid knowledge are increasingly used in current information systems development, Is-a structures need to be more formally defined, and subsequently subsumption related anomalies need to be detected with minimal declaration of meta knowledge. This paper extends a metagraph in the hybrid environments and demonstrates its utilities for detecting such anomalies that can occur from semantics and dynamics unique to the hybrid knowledge and data structure.

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.172-174
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• 2002

XML을 기반으로 하는 가상문서는 다양한 데이터의 공유를 가능하게 하여 새로운 지식을 생성할 수 있도록 한다. 가상 문서를 지원하는 디지털 도서관 시스템에서 질의 링크는 인터넷 상의 정형데이터 공유를 가능하게 한다. 본 연구에서는 질의링크를 포함하는 XML- 기반 가상문서를 효과적으로 생성하기 위해 질의링크 생성기와 스키마 처리기를 설계하고 구현하였으며 이를 지원하기 위해 디지털 도서관 시스템과 가상문서 저작시스템에서 서비스 관리기, 메타 검색기, 데이터베이스 관리기와 저작도구를 확장하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.703-706
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• 2001

본 논문에서는 pan/tilt 회전이 가능한 카메라 시스템을 이용한 캘리브레이션 기법에 대하여 소개한다. 제안된 방법을 이용하여 optical center, 초점거리를 추정할 수 있다. 캘리브레이션 대상물체로는 포인트(point)특징점을 이용하고 있으며 카메라 구동부에서 제공되는 각도 정보를 이용하며 캘리브레이션 대상 물체에 대한 기하학적 사전 지식이나 3 차원 정보를 필요로 하지 않는다 각각의 캘리브레이션 파라메타를 구하기 위해서 두 프레임을 필요로 한다. 시뮬레이션을 통해 제안된 캘리브레이션 방법의 실용 가능성을 보인다.

• Journal of Scientific & Technological Knowledge Infrastructure
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• s.9
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• pp.8-19
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• 2002

The Dublin Core element set has been developed over the past years as an open, consensus-building metadata from many user communities. Wider adoption in many countries made this metadata a major resource discovery standard on the internet. The version 1.1 of the Dublin Core element set was adopted as CEN Workshop Agreement 13874 in Europe, and also ratified under the auspices of the National Information Standards Organization in US as ANSI Standard Z39.85. This report summarizes the standardization activities that have taken place in the Dublin Core Metadata Initiative for the past years.

• Journal of the Korean Society for information Management
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• v.19 no.4
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• pp.298-319
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• 2002

The Semantic Web is a new technology that attempts to achieve effective retrieval, automation, integration, and reuse of web resources by constructing knowledge bases that are composed of machine-readable definitions and associations of resources that express the relationships among them. To have this kind of Semantic Web in place, it is necessary to have the following infrastructures: capability to assign unchangeable and unique identifier (URI) to each resource, adoption of XML namespace concept to prevent collision of element and attribute names defined by various institutions, widespread use of RDF to describe resources so that diverse metadata can be interoperable, use of RDF schema to define the meaning of metadata elements and the relationships among them, adoption of DAML+OIL that is built upon RDF(S) to increase reasoning capability and expressive power, and finally adoption of OWL that is built upon DAML+OIL by removing unnecessary constructors and adding new ones based on experience of using DAML+OIL. The purpose of this study is to describe the central concepts and technologies related to the Semantic Web and to discuss the benefits of metadata interoperability based on XML/RDF schemas and the potential applications of diverse ontologies.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.497-503
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• 2007

학습의 깊이의 단계를 Bloom은 지식, 이해, 적용, 분석, 종합, 평가라는 6가지의 단계로 나누면서 피상적인 학습과 감이 있는 학습으로 구분하였다. 최근 학습은 면대면 학습에서 뿐 아니라, 웹기반의 학습에서도 피상적인 학습 위주로 이루어진다는 비판을 받고 있고, 웹기반 학습에서는 자기조절 흑은 자기규제의 문제가 가장 큰 문제로 지적 받고 있다. 본 연구에서는 이를 해결하기 위한 방안으로서 감이 있는 학습을 촉진하고, 자기 조절을 촉진하는 메타인지를 웹기반학습에의 인터페이스 디자인에 적용하는 문제를 살펴보았다. 이를 알아보기 위해 메타인지 전략의 가장 핵심 요소인 '자기 점검'의 요소 중 학습 내용들 간의 위계 관계를 보여주는 지도 (MAP) 와 계획세우기를 도와주는 요소 (PLAN)를 기존 연구를 토대로 웹기반의 학습의 인터페이스로 구현하고, 이러한 요소들이 학습, 특히 Bloom이 말한 김이 있는 학습을 촉진하는지를 실험을 통해 살펴보았다. 메타인지를 활용한 웹기반 학습의 효과는 배운 내용의 사후 테스트 점수로 측정되었다. 일반적으로 웹상에서 이루어지는 학습의 일반적인 형태인 학습 중에 확인문제를 푸는 조건 (OX조건)과 확인문제와 학습 내용들 간의 위계 관계를 보여주는 지도를 제시하는 조건 (MAP조건), 이에 덧붙여 사전 계획세우기까지 모두 하는 조건 (PLAN조건)으로 나누어 실험이 진행되었다. 그 결과 첫째, 집단 간 참가자들의 전체적인 학습 점수는 MAP조건이 가장 낮고, OX조건이 중간, PLAN조건이 가장 높은 모습을 보였다. 그러나 이 차이가 통계적으로 유의미하지는 않았다. 또한 모든 조건의 집단에서 행해졌던 학습 중간의 OX점수는 집단별 점수의 차이가 통계적으로 유의미하지는 않았으나, 평균의 차이를 보여주었다. 둘째, 조건별 참가자의 학습 효과는 피상적인 학습수준(암기)에서는 통계적으로 집단 간 유의미한 차이를 보였다. 그러나 감이 있는 수준의 학습(문제해결)에서는 집단 간에 통계적으로 유의미한 학습의 차이를 보이지 않았다. 따라서 깊이있는 학습을 촉진하는 웹기반 학습의 인터페이스 디자인에 대해서는 추후 연구가 필요하다.

• School Mathematics
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• v.6 no.2
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• pp.153-179
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• 2004

In this article, we classify the middleschool students' mathematical modeling activities with three types as following: perceptive activity, cognitive activity, and metacognitive activity. And we research model development process through the interaction of perceptive, cognitive, and metacognitive activities. We report three results of our case study as following: First, students understanded the context of the modeling tasks on the base of their own experience and constructed the tasks with perceptive activity operating tool. Second, students developed various models with reorganizing cognitive activity which think and reason about perceptive activity-based model. Third, students were able to create generalizable and reusable models through metacognitive activities. This study revealed that the possible contribution of modeling activity as following. Students are able to understand abstractive mathematical knowledge as connecting between realistic activity and abstractive activity.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.165-168
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• 2014

A Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. Recently, the convergence of knowledge-based society and information telecommunication technologies has a rapid impact on politics, economics and various fields. We conducted a meta-analysis and review of between perceived value, risk and behavioral intention on e-commerce researches. This study focused a total of 25 research papers that established causal relationships in between perceived value, risk and behavioral intention on e-commerce published in Korean academic journals during 2000 and 2014. The result of the meta-analysis might be summarized that the effect size in the path from the perceived value to the behavioral intention with the effect size 0.508. Also, it showed that the effect size in the path from perceived value to the behavioral intention with the effect size -0.251. Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.194-196
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• 2014

A Meta-analysis refers to a statistical literature synthesis method from the quantitative results of many known empirical studies. Recently, the convergence of knowledge-based society and e-commerce, information telecommunication technologies has a rapid impact on politics, economics and various fields. We conducted a meta-analysis and review of between satisfaction, trust and loyalty on e-commerce researches. This study focused a total of 57 research papers that established causal relationships in between satisfaction, trust and loyalty on e-commerce published in Korean academic journals during 2002 and 2013. The result of the meta-analysis might be summarized that the highest effect size in the path from the satisfaction to the trust with the effect size(0.591). Based on these findings, several theoretical and practical implications were suggested and discussed with the difference from previous researches.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.79-82
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• 2019

This study aims to design and implement automated SEO tools that has applied the artificial intelligence techniques for search engine optimization (SEO; Search Engine Optimization). Traditional Search Engine Optimization (SEO) on-page optimization show limitations that rely only on knowledge of webpage administrators. Thereby, this paper proposes the metadata generation system. It introduces three approaches for recommending metadata; i) Downloading the metadata which is the top of webpage ii) Generating terms which is high relevance by using bi-directional Long Short Term Memory (LSTM) based on attention; iii) Learning through the Generative Adversarial Network (GAN) to enhance overall performance. It is expected to be useful as an optimizing tool that can be evaluated and improve the online marketing processes.