• The Journal of Society for e-Business Studies
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• v.10 no.4
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• pp.19-33
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• 2005

In this study, we propose a methodology of mating it easy to integrate the heterogeneous and distributed information of e-Business environments with the semantic web components , knowledge representation, ontology and agents. It is based on a collaborative interoperable environment, which should be constructed by meta-modeling and employing agents , and the syntactic/semantic integration. We adopt OWL(Web Ontology Language) to specify ontology in a layered architecture for each agent to use, which is based on the IRDS (Information Resource Dictionary Standard) framework. And we give an illustrative example using the terms from PSL(Process Specification Language)-ontology. By defining, managing and sharing resources and business-processes on the proposed framework, it could be possible to get rid of the cause of redundancy and inconsistency.

• 한국정보교육학회:학술대회논문집
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• 2004.01a
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• pp.108-114
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• 2004

지식기반 사회가 전개됨에 따라, 정보통신 기술을 활용한 멀티미디어 교육컨텐츠와 원격교육 시스템 등은 교육 패러다임의 변혁을 주도하고 있다. 이러한 컨텐츠는 호환성과 재사용에 있어 문제를 야기하고 있다. 최근 교육 컨텐츠의 메타데이터 모델링을 중심으로 한 XML 기한 컨텐츠 저작이 연구되고 있다. 본 논문에서는 활용도가 낮은 방송실에 구비된 자료를 조사 분석하고 이를 토대로 자료의 표준화 작업을 통해 웹에서 데이터를 사용할 수 있도록 한다. 또한 각 단위학교 간에 데이터를 공유할 수 있도록 XML 기반 컨텐츠를 설계한다.

• Broadcasting and Media Magazine
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• v.26 no.3
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• pp.59-70
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• 2021

미래의 메타버스 환경에서 3차원 가상 휴먼 표현은 매우 중요한 기술이며 영상 또는 비디오로부터 3차원 가상 휴먼 모델링이 핵심 기술이다. 본 기고문은 이 분야에 대한 충분한 사전 지식의 제공을 목표로 한다. 휴먼 복원 문제를 다루는 연구가 늘어남에 따라, 본 기고문에서 우리는 단일 영상 혹은 비디오로부터의 3차원 휴먼 복원 연구들에 대해 조사하고 그 결과를 다음과 같이 체계적으로 제시한다. 첫째, 3차원 휴먼 복원에 대한 배경 개념을 정의한다. 둘째, 제안된 분류법, 기여도, 정량적 결과에 따라 기존의 방법들을 상세하게 분석한다. 셋째, 관련 데이터셋 및 정성적 결과를 요약하여 연구자들이 이를 쉽게 활용할 수 있도록 한다. 마지막으로, 우리는 각 연구들을 분석하여 해당 방법들의 장점과 약점을 제시한다.

• Journal of The Korean Association For Science Education
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• v.40 no.5
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• pp.543-563
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• 2020

This study explores how the teaching practices of two teachers changed during scientific modeling classes. It also aims to understand these changes in terms of the teachers' modeling pedagogical content knowledge (PCK) development. The study participants were two elementary school teachers and their fifth-grade students. The teachers taught eight lessons of scientific modeling classes about the human body. The data analysis was conducted for lessons 1-2 and 7-8, which best showed the change in teaching practice. The two teachers' teaching practices were analyzed in terms of feedback frequency, feedback content, and the time allocated for each stage of model generation, evaluation, and modification. Teacher A led the evaluation and modification stages in a teacher-driven way throughout the classes. In terms of feedback, teacher A mainly used answer evaluation feedback in lesson 1-2; however, in lesson 7-8, the feedback content changed to thought-provoking feedback. Meanwhile, teacher B mostly led a teacher-driven model evaluation and modification in lesson 1-2; however, in lesson 7-8, she let her students lead the model evaluation and modification stages and helped them develop models through various feedbacks. The analysis shows that these teaching changes were related to the development of modeling PCK components. Furthermore, the two teachers' modeling PCK differed in teaching orientation, in understanding the modeling stages, and in recognizing the value of modeling, suggesting the importance of these in modeling teaching practice. This study can help improve the understanding of modeling classes by revealing the relationship between teaching practices and modeling PCK.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.2
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• pp.125-133
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• 2009

RDF is widely used as the ontology language for representing metadata on the semantic web. Since ontology models the real-world, ontology changes overtime. Thus, it is very important to detect and analyze changes in knowledge base system. Earlier studies on detecting changes between RDF models focused on the structural differences. Some techniques which reduce the size of the delta by considering the RDFS entailment rules have been introduced. However, inferencing with RDF models increases data size and upload time. In this paper, we propose a new change detection using RDF reasoning that only computes a small part of the implied triples using backward chaining strategy. We show that our approach efficiently detects changes through experiments with real-life RDF datasets.

• Journal of the Korean earth science society
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• v.41 no.2
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• pp.137-146
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• 2020

A great number of geological research data have been produced by individually conducted researchers and then personally stored in domestic universities and research institutes. However, it is difficult to share data with other researchers owing to low and limited accessibility. The purpose of this study is to systematically establish metadata for inaccessible data, to manage them collectively and to provide opportunities for utilizing the data to those who require efficient research methods. Approximately 1,000 geological specimens (900 rocks and fossils, 100 thin sections) were gathered, along with their metadata such as high-resolution photographs, classification, name, owner, address, and geographical coordinates of the sample site, to establish their features. Additionally, 3D modeling data for 100 rocks and fossils were generated. On the basis of this study, it is possible for researchers to access and share crucial geological data that have a high potential to be lost and have been neglected in restricted spaces; by avoiding the wasted time, energy, and costs caused by repetitive collection of data, researchers may perform effective research and achieve qualified and competitive research results. Moreover, vulnerable and important geological data in the field can be protected from damage caused by indiscriminate, repetitive collection of specimens that have previously been secured. Through the establishment of additional metadata concerning the diversity of rocks, fossils, and thin sections kept at other universities and research institutes, much more data can be recognized, leading to advanced research results. Furthermore, specialized comparison and analysis of basic mineralogy and petrology knowledge are anticipated, based on the use of the metadata.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.614-629
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• 2001

As the information-intensive society in 21c based on the environment of global internet is promoted, the software is getting more large and complex, and the demand for the software is increasing briskly. So, it becomes an important issue in academic and industrial field to activate reuse by developing and exchanging the standardized component. Currently, the information services as a product type of each company are provided in foreign market place for reusing a commercial component, but the components which are serviced in each market place are different, insufficient and unstandardized. That is, construction for Component Data Registry based on ISO 11179, is not accomplished. Hence, the national government has stepped up the plan for sending out public component at 2001. Therefore, the systems as a tool for sharing and exchange of data, have to support the meta-information of standardized component. In this paper, we will propose the C_MDR system: a tool to register and manage the standardized meta-information, based upon ISO 11179, for the commercialized common component. The purpose of this system is to systemically share and exchange the data in chain of acceleration of reusing the component. So, we will show the platform of specification for the component meta-information, then define the meta-information according to this platform, also represent the meta-information using XML for enhancing the interoperability of information with other system. Moreover, we will show that three-layered expression make modeling to be simple and understandable. The implementation of this system is to construct a prototype system of the component meta-information through the internet on www, this system uses ASP as a development language and RDBMS Oracle for PC. Thus, we may expect the standardization of the exchanged component metadata, and be able to apply to the exchanged reuse tool.

• Journal of KIISE:Computing Practices and Letters
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• v.7 no.6
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• pp.661-683
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• 2001

There is a rapid increase in the use of digital video information in recent years, it becomes more important to manage video databases efficiently. The development of high speed data network and digital techniques has emerged new multimedia applications such as internet broadcasting, Video On Demand(VOD) combined with video data processing and computer. Video database should be construct for searching fast, efficient video be extract the accurate feature information of video with more massive and more complex characteristics. Video database are essential differences between video databases and traditional databases. These differences lead to interesting new issues in searching of video, data modeling. So, cause us to consider new generation method of database, efficient retrieval method of video. In this paper, We propose the construction and generation method of the video database based on contents which is able to accumulate the meaningful structure of video and the prior production information. And by the proposed the construction and generation method of the video database implemented the video database which can produce the new contents for the internet broadcasting centralized on the video database. For this production, We proposed the video indexing method which integrates the annotation-based retrieval and the content-based retrieval in order to extract and retrieval the feature information of the video data using the relationship between the meaningful structure and the prior production information on the process of the video parsing and extracting the representative key frame. We can improve the performance of the video contents retrieval, because the integrated video indexing method is using the content-based metadata type represented in the low level of video and the annotation-based metadata type impressed in the high level which is difficult to extract the feature information of the video at he same time.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.1
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• pp.393-413
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• 2021

Digital humanities, which creates new and innovative knowledge through the combination of digital information technology and humanities research problems, can be seen as a representative multidisciplinary field of study. To investigate the intellectual structure of the digital humanities field, a network analysis of authors and keywords co-word was performed on a total of 441 papers in the last two years (2019, 2020) at the Digital Humanities Conference. As the results of the author and keyword analysis show, we can find out the active activities of Europe, North America, and Japanese and Chinese authors in East Asia. Through the co-author network, 11 dis-connected sub-networks are identified, which can be seen as a result of closed co-authoring activities. Through keyword analysis, 16 sub-subject areas are identified, which are machine learning, pedagogy, metadata, topic modeling, stylometry, cultural heritage, network, digital archive, natural language processing, digital library, twitter, drama, big data, neural network, virtual reality, and ethics. This results imply that a diver variety of digital information technologies are playing a major role in the digital humanities. In addition, keywords with high frequency can be classified into humanities-based keywords, digital information technology-based keywords, and convergence keywords. The dynamics of the growth and development of digital humanities can represented in these combinations of keywords.