• 한국멀티미디어학회논문지
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• 제8권5호
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• pp.618-632
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• 2005

본 논문에서는 모션 캡처 데이터의 효과적인 저장 및 의미 기반 검색을 위한 프레임워크를 제안한다. 모션 캡처 기술은 현실감있는 캐릭터 동작을 얻기 위해 많이 사용되고 있지만, 모션 캡처 데이터의 검색과 저장을 위한 표준화의 부족으로 인한 여러 가지 문제점을 가지고 있다. 또한 미리 캡처된 모션 데이터에 의미론적 부가설명이 없으므로 애니메이터들이 캡처된 모션 데이터로부터 필요한 부분 동작들만을 검색하고 조합하여 새로운 동작을 생성하기가 어렵다. 본 논문의 목적은 모션 캡처 데이터의 재사용성을 향상시키기 위한 것이다 먼저 상이한 모션 캡처 데이터 포맷들을 통합하기 위한 표준 포맷을 제안한다. 제안하는 표준 포맷은 XML 기반의 마크업 언어로서 MCML(Motion Capture Markup Language)라고 한다. 제안하는 MCML은 서로 상이한 포맷들의 변환 또는 통합을 하기 위해 유용할 뿐만 아니라, MCML파일로 모션 데이터 베이스를 구축하므로 모션 캡처 데이터의 재사용성을 향상시킬 수 있다. 또한 모션 캡처 데이터의 부분 동작들에 의미를 부여하고 동작들 사이에 의미론적 연결을 위해 모션 온톨로지를 정의한다. 온톨로지 기반 데이터 접근으로 인해 부분 동작 및 그와 연관된 동작들을 검색하고 항해할 수 있다.

• 한국HCI학회:학술대회논문집
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• 한국HCI학회 2008년도 학술대회 2부
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• pp.451-455
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• 2008

감성 디자인의 중요성은 정정 강조되는 반면, 제품의 전반적인 디자인 아이덴티티로부터 실질적인 오감만족을 제공하기 위해 사용자 요소들을 적절하게 통합하는 작업은 그리 체계적으로 이루어지지 않았다. 본 연구는 트렌드 분석에 따른 감성 어휘를 추출하고, 사용자 경험 요소를 매핑하여, 사용자 경험 요소를 통일성 있게 제품 디자인에 활용할 수 있도록 하기 위해 실시되었다. 본 연구에서 사용자 경험 요소는 칼라, 소재&마감, 사운드로 국한하였다. 이를 위해 각종 문헌 조사와 트렌드 분석 업체 및 사용자 경험 전문가들이 '08~'09 트렌드를 분석하고, 이를 가장 잘 반영할 수 있는 감성 형용사 31 개를 최종 추출하였다. 추출된 31 개의 어휘간 유사성 평정을 실시한 후, 다차원척도 분석을 통하여 2 차원의 감성축을 구성할 수 있었다. 트렌드 감성 어휘는 'human-centered' vs. 'techno-centered' 및 'warm vs. cool' 의 2 차원 공간에서 표현될 수 있었다. 다음으로 각 어휘에 따른 칼라, 소재&마감, 사운드 자극을 각각 제작한 후, 참가자들로 하여금 2 차원 감성 평면 위에서 직접 매핑시키는 실험을 통하여 이들간의 부합 정도를 검증해 보았다. 실험 결과를 토대로 가장 근접한 위치의 감성 어휘와 감성 요소들을 연결시키고, 디자이너들이 활용할 수 있도록 시스템화하였다. 추후 더욱 견고한 차원 구축 및 시스템화를 통해 실질적인 감성 디자인을 가이드 할 수 있을 것으로 기대된다.

• 인터넷정보학회논문지
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• 제16권2호
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• pp.57-66
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• 2015

빅데이터 기술에 대한 관심이 급증함에 따라, 소셜 미디어를 통해 유통되는 방대한 양의 비정형 데이터를 분석하고자 하는 시도가 활발히 이루어지고 있다. 이에 따라서 텍스트 형태의 비정형 데이터 분석을 통해 의미 있는 정보를 찾고자 하는 시도가 비즈니스 영역뿐 아니라, 정치, 경제, 문화 등 다양한 영역에서 이루어지고 있다. 특히 최근에는 여러 현안 및 이슈들을 발굴하여 이를 의사결정에 활용하고자 하는 시도가 활발히 이루어지고 있다. 이처럼 빅데이터 분석을 통해 국가현안이나 이슈를 발굴하고자 하는 시도가 꾸준히 이루어져왔음에도 불구하고, 국가현안 및 이슈로부터 이와 관련된 R&D 문서를 효율적으로 제공하는 방안은 마련되지 않고있다. 이는 사용자들이 인식하는 현안 키워드와 실제 사용되는 R&D 키워드 사이의 이질성이 존재하기 때문이다. 따라서 현안 및 R&D키워드간의 이질성을 극복하기 위한 중간 장치가 필요하며, 이 중간 장치를 통해 각 현안 키워드와 R&D 키워드간에 적절한 대응이 이루어져야 한다. 이를 위해 본 연구에서는 (1) 현안 키워드 추출을 위한 하이브리드 방법론, (2) 현안 대응 R&D 정보 패키징 방법론, 그리고 (3) R&D 관점에서의 연관 현안 네트워크 구축 방법론의 총 세 가지 방법론을 제안한다. 제안하는 방법론은 텍스트 마이닝, 소셜네트워크 분석, 그리고 연관 규칙 마이닝 등의 데이터 분석 기법들을 활용하여 수행하였으며, 그 결과, (1)에 의한 키워드 보강률은 42.8%로 나타났으며, (2)의 경우, 현안 키워드와 R&D 키워드간 다수의 연관 규칙이 나타났다. (3)의 경우는 현재 진행 중에 있으며, 향후 가시적 성과를 낼 수 있을 것으로 예상된다.

• 기록학연구
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• 제5호
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• pp.39-85
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• 2002

This paper is aimed at proposing the policies for managing archives in the process of promoting Electronic Government System. Although there have been many studies of electronic government project and plans for its establishment, this research examines the electronic government system and its problems on the basis of archival science. What I acquired in this paper is as follows. The development of information technology needs great changes ranging from the nation to the individuals. It becomes common that the use of computerized program for business purposes, computerization of information materials and the effective way of search use of electronic documents. Therefore, more and more countries all over the world have been seeking to promote 'Electronic Government', which applies the fruits of the development in information technology to administration process. Recently, Korea has been rapidly entered into the 'Electronic Government' system being against the traditional way of administration. In electronic government system, the 'Life Cycle' of public records will be computerized. Therefore, it is important to change and develop along with the government's policies for 'electronic government project' in the archival management system. This means that the archival management system which have put emphasis on the textual records should be converted to electronic records system. In other words, the records management in electronic government system requires not the transfer and preservation of the records but the consistent management system including the whole process of creating, appraising, arranging, preserving and using the records. So, the systematic management of electronic records plays an important role in realization of electronic government, but it is a subject to be realized by electronic government at the same time. However, the government have overlooked the importance of archival management for long time, especially the importance of electronic records management system. First of all, this research attempts to infer limits and problems through the theoretical considerations of the existing studies for electronic government and to clear up the relations between electronic government and archival management. Based on this, I'll seek to progress the study through reviewing the present condition of archival management in the process of promoting electronic government and suggesting the policies for enhancing the successful electronic government and the construction of scientific archival management system. Since early 1990, many countries in the world have been making every effort to concrete 'Electronic Government'. Using the examples in other nations, it is not difficult to recognize that the embodiment of electronic government is closely connected with the archival management policies. Korea have completed legal and institutional equipments including the new establishment of "Electronic Government Law" to realize electronic government. Also, Korea has been promoting electronic government with the Ministry of Government Administration and Home Affairs and Government Computer Center as a leaders. Though managing records, especially the management of electronic records is essential in electronic government system, we haven't yet discussed this section in Korea. This is disapproved by the fact the Government Archives and Records Service has played little role in promoting electronic government project. There are two problems relating this environment. First, present system can't meet the consistent 'Life Cycle' ranging from the creation to the preservation of electronic records. Second, the 'Life Cycle' of electronic records is divided into two parts and managed separately by GCC and GARS. The life of records is not end with the process raged from creation to distribution. On the other hand, the records are approved their value only whole procedures. Therefore, GARS should play a deading role in designing and establishing the archival management system. The answer to these problems, is as follows. First, we have to complete the electronic records management system through introducing ERMS not EDMS. This means that we should not change and develop towards ERMS simply with supplementing the current electronic records management system. I confirm that it is important and proper to establish ERMS system from the very beginning of the process of promoting electronic government. Second, I suggest the developmental integration of GARS and GCC. At present, the divided operations of GCC and GARS, the former is in charge of the management center for electronic business and the latter is the hub institution of managing nation's records and archives result in many obstacles in establishing electronic government system and accomplishing the duties of systematic archival management. Therefore, I conclude that the expansive movement towards 'National Archives' through the integration among the related agencies will make a great contribution to the realization of electronic government and the establishment of archival management system. In addition to this, it will be of much help to constitute and operate the 'Task Force' regarding the management of electronic records with the two institution as the central figures.

• Asia pacific journal of information systems
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• 제19권1호
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• pp.33-62
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• 2009

Internet computing is a disruptive IT innovation. Semantic Web can be considered as an IT innovation because the Semantic Web technology possesses the potential to reduce information overload and enable semantic integration, using capabilities such as semantics and machine-processability. How should organizations adopt the Semantic Web? What factors affect the adoption and diffusion of Semantic Web innovation? Most studies on adoption and diffusion of innovation use empirical analysis as a quantitative research methodology in the post-implementation stage. There is criticism that the positivist requiring theoretical rigor can sacrifice relevance to practice. Rapid advances in technology require studies relevant to practice. In particular, it is realistically impossible to conduct quantitative approach for factors affecting adoption of the Semantic Web because the Semantic Web is in its infancy. However, in an early stage of introduction of the Semantic Web, it is necessary to give a model and some guidelines and for adoption and diffusion of the technology innovation to practitioners and researchers. Thus, the purpose of this study is to present a model of adoption and diffusion of the Semantic Web and to offer propositions as guidelines for successful adoption through a qualitative research method including multiple case studies and in-depth interviews. The researcher conducted interviews with 15 people based on face-to face and 2 interviews by telephone and e-mail to collect data to saturate the categories. Nine interviews including 2 telephone interviews were from nine user organizations adopting the technology innovation and the others were from three supply organizations. Semi-structured interviews were used to collect data. The interviews were recorded on digital voice recorder memory and subsequently transcribed verbatim. 196 pages of transcripts were obtained from about 12 hours interviews. Triangulation of evidence was achieved by examining each organization website and various documents, such as brochures and white papers. The researcher read the transcripts several times and underlined core words, phrases, or sentences. Then, data analysis used the procedure of open coding, in which the researcher forms initial categories of information about the phenomenon being studied by segmenting information. QSR NVivo version 8.0 was used to categorize sentences including similar concepts. 47 categories derived from interview data were grouped into 21 categories from which six factors were named. Five factors affecting adoption of the Semantic Web were identified. The first factor is demand pull including requirements for improving search and integration services of the existing systems and for creating new services. Second, environmental conduciveness, reference models, uncertainty, technology maturity, potential business value, government sponsorship programs, promising prospects for technology demand, complexity and trialability affect the adoption of the Semantic Web from the perspective of technology push. Third, absorptive capacity is an important role of the adoption. Fourth, suppler's competence includes communication with and training for users, and absorptive capacity of supply organization. Fifth, over-expectance which results in the gap between user's expectation level and perceived benefits has a negative impact on the adoption of the Semantic Web. Finally, the factor including critical mass of ontology, budget. visible effects is identified as a determinant affecting routinization and infusion. The researcher suggested a model of adoption and diffusion of the Semantic Web, representing relationships between six factors and adoption/diffusion as dependent variables. Six propositions are derived from the adoption/diffusion model to offer some guidelines to practitioners and a research model to further studies. Proposition 1 : Demand pull has an influence on the adoption of the Semantic Web. Proposition 1-1 : The stronger the degree of requirements for improving existing services, the more successfully the Semantic Web is adopted. Proposition 1-2 : The stronger the degree of requirements for new services, the more successfully the Semantic Web is adopted. Proposition 2 : Technology push has an influence on the adoption of the Semantic Web. Proposition 2-1 : From the perceptive of user organizations, the technology push forces such as environmental conduciveness, reference models, potential business value, and government sponsorship programs have a positive impact on the adoption of the Semantic Web while uncertainty and lower technology maturity have a negative impact on its adoption. Proposition 2-2 : From the perceptive of suppliers, the technology push forces such as environmental conduciveness, reference models, potential business value, government sponsorship programs, and promising prospects for technology demand have a positive impact on the adoption of the Semantic Web while uncertainty, lower technology maturity, complexity and lower trialability have a negative impact on its adoption. Proposition 3 : The absorptive capacities such as organizational formal support systems, officer's or manager's competency analyzing technology characteristics, their passion or willingness, and top management support are positively associated with successful adoption of the Semantic Web innovation from the perceptive of user organizations. Proposition 4 : Supplier's competence has a positive impact on the absorptive capacities of user organizations and technology push forces. Proposition 5 : The greater the gap of expectation between users and suppliers, the later the Semantic Web is adopted. Proposition 6 : The post-adoption activities such as budget allocation, reaching critical mass, and sharing ontology to offer sustainable services are positively associated with successful routinization and infusion of the Semantic Web innovation from the perceptive of user organizations.

• Asia pacific journal of information systems
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• 제20권2호
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• pp.125-155
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• 2010

Ontologies have been adopted in various business and scientific communities as a key component of the Semantic Web. Despite the increasing importance of ontologies, ontology developers still perceive construction tasks as a challenge. A clearly defined and well-structured methodology can reduce the time required to develop an ontology and increase the probability of success of a project. However, no reliable knowledge-engineering methodology for ontology development currently exists; every methodology has been tailored toward the development of a particular ontology. In this study, we developed a Graduation Screen Ontology (GSO). The graduation screen domain was chosen for the several reasons. First, the graduation screen process is a complicated task requiring a complex reasoning process. Second, GSO may be reused for other universities because the graduation screen process is similar for most universities. Finally, GSO can be built within a given period because the size of the selected domain is reasonable. No standard ontology development methodology exists; thus, one of the existing ontology development methodologies had to be chosen. The most important considerations for selecting the ontology development methodology of GSO included whether it can be applied to a new domain; whether it covers a broader set of development tasks; and whether it gives sufficient explanation of each development task. We evaluated various ontology development methodologies based on the evaluation framework proposed by G$\acute{o}$mez-P$\acute{e}$rez et al. We concluded that METHONTOLOGY was the most applicable to the building of GSO for this study. METHONTOLOGY was derived from the experience of developing Chemical Ontology at the Polytechnic University of Madrid by Fern$\acute{a}$ndez-L$\acute{o}$pez et al. and is regarded as the most mature ontology development methodology. METHONTOLOGY describes a very detailed approach for building an ontology under a centralized development environment at the conceptual level. This methodology consists of three broad processes, with each process containing specific sub-processes: management (scheduling, control, and quality assurance); development (specification, conceptualization, formalization, implementation, and maintenance); and support process (knowledge acquisition, evaluation, documentation, configuration management, and integration). An ontology development language and ontology development tool for GSO construction also had to be selected. We adopted OWL-DL as the ontology development language. OWL was selected because of its computational quality of consistency in checking and classification, which is crucial in developing coherent and useful ontological models for very complex domains. In addition, Protege-OWL was chosen for an ontology development tool because it is supported by METHONTOLOGY and is widely used because of its platform-independent characteristics. Based on the GSO development experience of the researchers, some issues relating to the METHONTOLOGY, OWL-DL, and Prot$\acute{e}$g$\acute{e}$-OWL were identified. We focused on presenting drawbacks of METHONTOLOGY and discussing how each weakness could be addressed. First, METHONTOLOGY insists that domain experts who do not have ontology construction experience can easily build ontologies. However, it is still difficult for these domain experts to develop a sophisticated ontology, especially if they have insufficient background knowledge related to the ontology. Second, METHONTOLOGY does not include a development stage called the "feasibility study." This pre-development stage helps developers ensure not only that a planned ontology is necessary and sufficiently valuable to begin an ontology building project, but also to determine whether the project will be successful. Third, METHONTOLOGY excludes an explanation on the use and integration of existing ontologies. If an additional stage for considering reuse is introduced, developers might share benefits of reuse. Fourth, METHONTOLOGY fails to address the importance of collaboration. This methodology needs to explain the allocation of specific tasks to different developer groups, and how to combine these tasks once specific given jobs are completed. Fifth, METHONTOLOGY fails to suggest the methods and techniques applied in the conceptualization stage sufficiently. Introducing methods of concept extraction from multiple informal sources or methods of identifying relations may enhance the quality of ontologies. Sixth, METHONTOLOGY does not provide an evaluation process to confirm whether WebODE perfectly transforms a conceptual ontology into a formal ontology. It also does not guarantee whether the outcomes of the conceptualization stage are completely reflected in the implementation stage. Seventh, METHONTOLOGY needs to add criteria for user evaluation of the actual use of the constructed ontology under user environments. Eighth, although METHONTOLOGY allows continual knowledge acquisition while working on the ontology development process, consistent updates can be difficult for developers. Ninth, METHONTOLOGY demands that developers complete various documents during the conceptualization stage; thus, it can be considered a heavy methodology. Adopting an agile methodology will result in reinforcing active communication among developers and reducing the burden of documentation completion. Finally, this study concludes with contributions and practical implications. No previous research has addressed issues related to METHONTOLOGY from empirical experiences; this study is an initial attempt. In addition, several lessons learned from the development experience are discussed. This study also affords some insights for ontology methodology researchers who want to design a more advanced ontology development methodology.

• 산경연구논집
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• 제1권1호
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• pp.33-41
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• 2010

정보기술의 발달은 CRM분야의 혁신을 가져왔고 많은 기업들은 CRM기술혁신 분야에 투자하여 개별고객가치에 의한 차별화된 고객관리가 가능하게 됨으로써 장기고객의 지속적 확보와 비용절감효과를 얻고자 하였다. 기업들은 경쟁력 확보를 위한 전략적 도구로서 정보기술을 이용한 차별화된 서비스를 제공하지 않으면 고객과의 관계 형성이 어려워 경쟁우위를 달성할 수 없게 되었다. 이러한 측면에서 고객에 대한 맞춤형 재화와 서비스의 제공이 필수적인 것이 되었으며, 기업 내 모든 자원이 전사적으로 통합관리되는 전사적 자원관리(ERP)시스템과 과학적이고 체계적으로 고객정보를 활용할 수 있도록 설계된 고객관계관리(CRM)시스템은 기업의 경쟁력 강화를 위해 반드시 갖추어야 할 시스템이라고 할 수 있다. 본 연구는 한국 금융기관에서 실행되고 있는 CRM의 문제점과 개선방안을 제시하는데 목적을 두고 CRM의 이론적 배경을 살펴보고 현재 금융기관의 CRM 구축상황을 분석하여 개선방안을 제시하였다.