• Title/Summary/Keyword: Data centric

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A Proposal for the Document-centric Webservices Language Supporting XML Schema Data Type (문서중심 웹서비스를 위한 XML 타입을 지원하는 언어 제안)

  • Choi, Jong-Myung;Kim, Eun-Hoe
    • 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.

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Function Classification of tweets Citing Scholarly Articles (학술문헌을 인용하는 트윗의 기능 분석 연구)

  • Kim, Byungkyu;Kang, Ji-Hoon
    • 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.

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Architecture, Component, and Reuse

  • Park, June-Sung
    • 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.

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Analytic Model of Energy of Router in Wireless Sensor Networks

  • Lee, Dong-Chun
    • 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.

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Can We Identify Trip Purpose from a Clickstream Data?

  • Choe, Yeongbae
    • 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.

Data Framework Design of EDISON 2.0 Digital Platform for Convergence Research

  • Sunggeun Han;Jaegwang Lee;Inho Jeon;Jeongcheol Lee;Hoon Choi
    • 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.

A propose of Big data quality elements (빅 데이터의 품질 요소 제안)

  • Choi, Sang-Kyoon;Jeon, Soon-Cheon
    • 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.

The Functional Requirements of Core Elements for Research Data Management and Service (연구 데이터 관리 및 서비스를 위한 핵심요소의 기능적 요건)

  • Kim, Juseop;Kim, Suntae;Choi, Sangki
    • 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.

A Study on the Construction of Moving Route Information Sharing System of COVID-19 Confirmed Cases

  • Kim, Byungkyu;You, Beom-Jong;Shim, Hyoung-Seop
    • 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.

Women Caregivers′ Experiences in Caring at Home for a Family Member with Dementia: A Feminist Approach (여성가족간호자의 치매노인 돌봄경험: 여성주의적 접근)

  • 이봉숙;김춘미;이명선
    • Journal of Korean Academy of Nursing
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    • v.34 no.5
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    • pp.881-890
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    • 2004
  • Purpose: The purpose of this study was to explore women caregivers' lived experiences in caring at home for a family member with dementia and to identify conditions that oppress women in the context of family caregiving. Method: This study was conducted within the feminist perspectives using qualitative secondary data. Ten secondary data conveying self reflective contents were selected from the 25 original data obtained in 1999 to 2000. Result: Six themes that emerged from the qualitative thematic content analysis were; androcentric view of family caregiving, undervalued family caregiving by the family members, Self rationalization in the context of family caregiving, family-centric care mechanism, exemplary caring within the family context, and inter-familial relationships among women. Conclusion: The main focus of feminist research is to provide empowerment for the women, research participants and to bring about social change of oppressive constraint through some actions. On the basis of the research findings, therefore, action strategies from feminist perspectives were suggested in some aspects of health care delivery sectors, nursing education and research sectors, and administrative sectors.