• Proceedings of the Korean Association for Survey Research Conference
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• 2000.11a
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• pp.129-140
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• 2000

인터넷 사용자가 과연 어떤 사이트를 주로 이용하고 그 이용 시간은 어떠한 수준인지를 확인하고 더 나아가서 각 사이트 이용자들은 어떠한 특성을 나타내고 있는지를 알아보는 인터넷사용자측정(Audience-centric Measurement)의 중요성은 인터넷 조사의 기반이 되는 데이터를 제공한다는 점뿐 아니라 최근 활발히 연구되고 있는 데이터마이닝(Data Mining)과 그것을 바탕으로 하는 CRM(Customer Relationship Management)의 기초자료로서 그 중요성이 날로 커지고 있다. 본 연구는 기존의 인터넷사용자측정 조사의 국내외 연구 동향과 그 차이점을 살펴보고, 국내의 기존조사가 가지고 있는 문제점, 특히 조사의 표집틀의 왜곡과 관련된 문제점을 분석하고 이를 해결하기 위한 실천적, 이론적 대안을 제시하고 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.259-262
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• 2005

B2B를 효과적으로 지원하기 위해서는 문서중심의 웹서비스를 사용해야 한다. XML 문서를 사용하는 문서중심의 웹서비스를 효과적으로 개발하기 위해서는 XML 문서의 스키마를 데이터타입으로 지원할 수 있는 언어가 필요하다. 본 논문에서는 문서중심 웹서비스가 B2B에 적합한 이유와 XML 문서의 스키마를 데이터타입으로 지원하는 언어를 설계하고, 구현할 때 고려해야 할 사항을 소개한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.83-84
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• 2018

개별논문 평가를 위해 제안된 altmetric가 주목받고 있다. altmetrics에서는 개별 논문의 트윗의 건수를 평가요소 중 하나로 활용한다. 그러나 여러가지 목적으로 작성된 트윗을 단일하게 처리하는 것은 문제가 있다. 본 논문은 과학 논문에 달린 트윗들을 분석하여 기능의 범주를 정의하고 분류체계를 제시하였으며, 기존의 논문의 인용기능 분류 실험을 실시하여 그 결과와 비교 분석을 수행하였다. 향후 도출한 트윗 기능 분류에 대한 개선과 추가적인 연구를 수행할 계획이다.

• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.647-664
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• 2003

[ $\circ$ ] Enterprise architecture is essential for ROI of e-Enterprise. $\circ$ An architecture is described from business, application, data and technical views and these must be complete and consistent. $\circ$ UML-based CBD is currently the best approach to obtaining architecture-centric, flexible and interoperable systems. $\circt$ Reuse of architecture, components, shared services and app frameworks is key to achieving both quality and productivity. $\circ$ Web service, the NBT, cannot be tapped without the architecting capability. $\circ$ Architects with world-class domain as well as software engineering knowledge are key to success of Korean software industry.

• Convergence Security Journal
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• v.7 no.4
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• pp.43-50
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• 2007

Electric quantity of sensor nodes is extremely limited, and the battery replacement is very difficult in wireless sensor networks. This paper proposes analytic model on energy loss in different route structure, which it is based upon the data-centric storage and the directed diffusion is energy consumption in the wireless sensor network.

• Journal of Smart Tourism
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• v.2 no.2
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• pp.15-19
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• 2022

Destination marketing organizations (DMOs) utilize the official website for marketing and promotional purposes, while tourists often navigate through the official website to gather necessary information for their upcoming trips. With the advancement of business analytics, DMOs may need to exploit the clickstream data generated through their official website to develop more suitable and persuasive strategic marketing and promotional activities. As such, the primary objective of the current study is to show whether clickstream data can successfully identify the trip purposes of a particular user. Using a latent class analysis and multinomial logistic regression, this study found the meaningful and statistically significant variations in webpage visits among different trip purpose groups (e.g., weekend getaways, day-trippers, and other purposes). The findings of this study would provide a foundation for more data-centric destination marketing and management practice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.8
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• pp.2292-2313
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• 2023

With improving computing performance, various digital platforms are being developed to enable easily utilization of high-performance computing environments. EDISON 1.0 is an online simulation platform widely used in computational science and engineering education. As the research paradigm changes, the demand for developing the EDISON 1.0 platform centered on simulation into the EDISON 2.0 platform centered on data and artificial intelligence is growing. Herein, a data framework, a core module for data-centric research on EDISON 2.0 digital platform, is proposed. The proposed data framework provides the following three functions. First, it provides a data repository suitable for the data lifecycle to increase research reproducibility. Second, it provides a new data model that can integrate, manage, search, and utilize heterogeneous data to support a data-driven interdisciplinary convergence research environment. Finally, it provides an exploratory data analysis (EDA) service and data enrichment using an AI model, both developed to strengthen data reliability and maximize the efficiency and effectiveness of research endeavors. Using the EDISON 2.0 data framework, researchers can conduct interdisciplinary convergence research using heterogeneous data and easily perform data pre-processing through the web-based UI. Further, it presents the opportunity to leverage the derived data obtained through AI technology to gain insights and create new research topics.

• Journal of Advanced Navigation Technology
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• v.17 no.1
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• pp.9-15
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• 2013

Big data has a key engine of the new value creation and troubleshooting are becoming more data-centric era begins in earnest. This paper takes advantage of the big data, big data in order to secure the quality of the quality elements for ensuring the quality of Justice and quality per-element strategy argue against. To achieve this, big data, case studies, resources of the big data plan and the elements of knowledge, analytical skills and big data processing technology, and more. This defines the quality of big data and quality, quality strategy. The quality of the data is secured by big companies from the large amounts of data through the data reinterpreted in big corporate competitiveness and to extract data for various strategies.

• Journal of the Korean Society for Library and Information Science
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• v.53 no.3
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• pp.317-344
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• 2019

Increasing the value of data, paradigm shifts in research methods, and specific manifestations of open science indicate that research is no longer text-centric, but data-driven. In this study, we analyzed the services for DCC, ICPSR, ANDS and DataONE to derive key elements and functional requirements for research data management and services that are still insufficient in domestic research. Key factors derived include DMP writing support, data description, data storage, data sharing and access, data citations, and data management training. In addition, by presenting functional requirements to the derived key elements, this study can be applied to construct and operate RDM service in the future.

• Journal of the Korea Society of Computer and Information
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• v.25 no.12
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• pp.155-163
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• 2020

This study developed a system that can collect, manage, and utilize the travel routes of individuals who tested positive for coronavirus disease 2019 (COVID-19) based on the data standardization and quality management principles and presented the analysis data collected from the existing system. Unlike many other countries in the world, Korea demonstrated a rapid response by conducting epidemiological investigations. Further, the local governments have actively shared the travel routes of individuals who tested positive for COVID-19 to facilitate proactive prevention of the infectious disease per the Infectious Disease Control and Prevention Law. However, currently, there is no standard protocol for the local governments to share the information, thus complicating the process of sharing, managing, and utilizing the collected data. Therefore, this study developed a system that can facilitate sharing of the travel routes of individuals who tested positive for COVID-19 by establishing database construction procedures and using the travel route of COVID-19 patients as per the Disaster & Safety Information Sharing Platform and developing a data processing guideline, a data entry system with default templates, and Open API. Although this sharing system was designed to communicate the travel routes of COVID-19 patients, it can also be utilized in case of other infectious diseases. Therefore, it can be used as a response strategy for future outbreaks of infectious diseases.