• Journal of Fashion Business
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• v.19 no.1
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• pp.47-61
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• 2015

Recently, female announcers in the baseball programs on television are drawing attention to their fashion. This study analyzes the shape, color, material, detail, and accessory of female announcers in the baseball programs broadcasted by KBS N SPORTS, MBC SPORTS+, SBS Sports, and XTM. The characteristics of their fashion were classified into reliability, popularity, differentiation, attractiveness, and dynamics. The analysis showed that the fashion of the female announcers of KBS N SPORTS showed reliability in shape, color, material, accessory, popularity, and differentiation in detail. For MBC SPORTS+, the popularity was shown in shape, color, material, and attractiveness was shown in detail. For SBS Sports, the differentiation and attractiveness were shown in material, and the differentiation and dynamics were shown in accessory. For XTM, the attractiveness and dynamics were shown in shape, the differentiation and dynamics were shown in color, the dynamics were shown in material, and the popularity was shown in accessory.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.730-733
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• 2004

Recently XML (eXtensible Markup Language) is becoming the standard for exchanging the documents on the web. And as the amount of information is increasing because of the development of the technique in the Internet, semantic web is becoming to appear for more exact result of information retrieval than the existing one on the web. Ontology which is the basis of the semantic web provides the basic knowledge system to express a particular knowledge. So it can show the exact result of the information retrieval. Ontology defines the particular concepts and the relationships between the concepts about specific domain and it has the hierarchy similar to the taxonomy. In this paper, we propose the generation of semi-automatic ontology based on XML documents that are interesting to many researchers as the means of knowledge expression. To construct the ontology in a particular domain, we suggest the algorithm to determine the domain. So we determined that the domain of ontology is to extract the information of movie on the web. And we used the generalized association rules, one of data mining methods, to generate the ontology, using the tag and contents of XML documents. And XTM (XML Topic Maps), ISO Standard, is used to construct the ontology as an ontology language. The advantage of this method is that because we construct the ontology based on the terms frequently used documents related in the domain, it is useful to query and retrieve the related domain.

• Journal of the Korea Society of Computer and Information
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• v.4 no.4
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• pp.47-56
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• 1999

We design and implement an ORDBMS-based geographic information system for sightseeing information of Chungbuk to verify the performance and applicability of GEUS/XTM ORDBMS. We Acquire the positional coordinates of the boundaries of administrative districts , roads, and railroads, determine the various kinds of information such as the locations of sightseeing sites, lodgings, and so on, design an object-relational schema using OMT, and implement the geographic information system including a database system. Through the examination of selective accessibility on the sightseeing inform ation database by the various queries, we conclude that the ORDBMS is more applicable than other DBMSs in modeling, storing, referring, and managing of non-fixed complex data such as sightseeing information. Therefore, ORDBMSs provide efficient and extensible implementations of databases and information services from various sources for the increasing demand on geographic information service on internet.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.345-348
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• 2005

Because the current web search engine estimates the similarity of documents, using the frequency of words, many documents irrespective of the user query are provided. To solve these kinds of problems, the semantic web is appearing as a future web. It is possible to provide the service based on the semantic web through ontology which specifies the knowledge in a special domain and defines the concepts of knowledge and the relationships between concepts. In this paper to search the information of potential customers for home-delivery marketing, we model the specific domain for generating the ontology. And we research how to retrieve the information, using the ontology. Therefore, in this paper, we generate the ontology to define the domain about potential customers and develop the search robot which collects the information of customers.

• Korean Journal of Oriental Medicine
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• v.11 no.2
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• pp.35-52
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• 2005

This study is to design a Semantic Navigation Retrieval System for Oriental Medicine Articles based on a XTM so that people can search and use them more effectively than before. Keywords extracted from articles are categorized 4 topics : herbs, prescription, disease, and action. Keywords analysis Ontology is modeled based on 4 topics and their relations, and then represented Topic maps. Next, Article analysis Ontology is consist of title, author, keywords, abstracts and organization Topics from metadata. Keywords and Article analysis Ontology were integrated through Keywords Topic. Korean Medical Article Retrieval System is optimistic in terms on search results supporting semantic navigation in the information service aspects and easier accessibility because all related information are semantically connected with each different DBs.

• Proceedings of the Korean Society of Computer Information Conference
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• 2009.01a
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• pp.13-18
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• 2009

Topic Map을 구축하는데 있어서 봉착하는 문제는 특정분야 전문가들이 Topic Map의 구성과 체계에 익숙하지 않다는 점이다. 이를 해결하기 위해서 Topic Map의 모든 요소들을 새로이 작성하는 것 보다는 작성하려는 분야에 대해 기 구축된 정보자원이 존재할 경우 이를 최대한 재활용하여, 모은 요소들을 추출한 다음 Topic Map 온톨로지로 변환하고 이용하는 것이 시간과 비용을 절약할 수 있는 효율적인 방법일 것이다. 본 연구에서는 기 구축된 학술DB보부터 Topic Map에서 재활용할 수 있는 요소들을 추출하기 위한 정보 소스로서 데이터베이스 스키마와 MARC에서 언급하는 메타데이터를 이용하는 것은, 기초 학문자료의 복잡한 관계의 개념구조, 자료유형 및 자료간의 의미적 상관관계 표현에 있어 효율적인 개발방법임을 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2004.11a
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• pp.51-54
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• 2004

시멘틱 웹은 기존의 웹과는 달리 정보의 의미가 정의되고, 이들 간의 의미적 연결을 지원한다는 특징이 있어서, 최근 차세대 웹으로 부각되고 있다. 이러한 의미적 연결을 위해서 시맨틱 웹의 기반인 온톨로지가 필요하다. 온톨로지는 리소스에 대한 메타데이터를 정의하여 의미적 연결이 가능하게 하므로 효율적인 정보 검색이 가능하다. 이 논문에서는 정보 검색의 효율을 증가시키기 위해서 시맨틱 웹의 핵심인 온톨로지 기반의 정보 검색 시스템을 제안한다. 쇼핑 사이트에서 효율적인 마케팅을 위해 사용자의 구매 패턴을 조사하여 고객에게 알맞은 정보 추천을 하기 위한 것을 목적으로 한다. 온톨로지의 구축은 XTM을 기반으로 토픽맵을 이용하였다. 그리고 온톨로지를 기반으로, 사용자의 구매패턴을 찾아서 정확한 정보 전달을 위해서 데이터 마이닝 기법을 이용하였다. 빈발패턴 트리 기법을 기반으로 하는 멀티 레벨 멀티 디멘션 빈발 패턴 마이닝 알고리즘을 이용하여 사용자 패턴을 분석하여 정보 검색에 효율을 기하였다.

• Journal of The Korean Association For Science Education
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• v.34 no.8
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• pp.795-806
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• 2014

The purpose of this study is to develop an intervention program for improvement of elementary science-poor students' Basic Science Process Skill (BSPS) and to validate the intervention program's effectiveness using eye-tracker. The participants of this study were 35 elementary science-poor students. This study's method was the analysis of real-time eye movements during basic science process skill problem solving. SMI's 120 Hz iView XTM RED was used to collect EMD (eye movement data). Experiment 3.4 and BeGaze 3.4 programs were used to design experiment and to analyze EMD. The results of this study are as follows. First, we developed an intervention program including BSPS instructional strategy, behavior of teachers & student according instructional strategy stage, teachinglearning plan and learning note. Second, science poor students' BSPS ability has improved statistically significantly through the application of intervention program and BSPS problem-solving time decreased statistically significantly. Third, AFT (average fixation time) of BSPS Question and keyword area decreased statistically significantly. Fourth, APD (average pupil diameter) of BSPS problem-solving process expanded statistically significantly. Fifth, AST (average saccade time) of BSPS problem-solving process increased statistically significantly. Sixth, AFET (average fixation entry time) of BSPS problem-clue area was accelerated statistically significantly, AFT of BSPS problem-clue area reduced statistically significantly.

• The KIPS Transactions:PartD
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• v.13D no.3 s.106
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• pp.299-308
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• 2006

As recently XML is becoming the standard of exchanging web documents and public documentations, XML data are increasing in many areas. To retrieve the information about XML documents efficiently, the semantic web based on the ontology is appearing. The existing ontology has been constructed manually and it was time and cost consuming. Therefore in this paper, we propose the semi-automatic ontology generation technique using the data mining technique, the association rules. The proposed method solves what type and how many conceptual relationships and determines the ontology domain level for the automatic ontology generation, using the data mining algorithm. Appying the association rules to the XML documents, we intend to find out the conceptual relationships to construct the ontology, finding the frequent patterns of XML tags in the XML documents. Using the conceptual ontology domain level extracted from the data mining, we implemented the semantic web based on the ontology by XML Topic Maps (XTM) and the topic map engine, TM4J.

• The Journal of Korean Academy of Prosthodontics
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• v.53 no.4
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• pp.345-351
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• 2015

Purpose: The purpose of this study was to evaluate the proper axial thickness of zirconia abutment applied to implant in the anterior region. Materials and methods: Zirconia abutments were prepared at different axial wall thickness by processing pre-sintered zirconia blocks via CAD/CAM to obtain equal specimens. The abutments were each produced with a thickness of 0.5 mm (Group 1), 0.8 mm (Group 2), 1.2 mm (Group 3), or 1.5 mm (Group 4). The implant used in this study was a external connection type one (US, Osstem, Pussan, Korea) product and the zirconia abutment was prepared via replication of a cemented abutment. The crowns were prepared via CAM/CAM with a thickness of 1.5 mm and were cemented to the abutments using $RelyX^{TM}$ UniCem cement. A universal testing machine was used to apply load at 30 degrees and measure fracture strength of the zirconia abutment. Results: Fracture strength of the abutments for Group 1, Group 2, Group 3, and Group 4 were $236.00{\pm}67.55N$, $599.00{\pm}15.80N$, $588.20{\pm}33.18N$, and $97.83{\pm}98.13N$, respectively. Group 1 showed a significantly lower value, as compared to the other groups (independent Mann-Whitney U-test. P<.05). No significant differences were detected among Group 2, Group 3, and Group 4 (independent Mann-Whitney U-test. P>.05). Conclusion: Zirconia abutment requires optimal thickness for fracture resistance. Within the limitation of this study, > 0.8 mm thickness is recommended for zirconia abutment in anterior implants.