支持虚拟研究环境中大数据应用的高级可视化界面道路测绘基础设施

M. X. Bornschlegl, A. Manieri, P. Walsh, T. Catarci, M. Hemmje
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引用次数: 7

摘要

处理相关数据的复杂性需要新的数据访问、可视化、感知和交互技术,以实现创新和成功的策略。为了解决人机交互、认知效率和互操作性问题,必须实现基于计算机科学相关领域现有技术的通用信息可视化、用户授权以及服务集成和中介方法。本次研讨会将讨论这些问题,并特别关注在虚拟研究环境(VREs)中支持分布式大数据分析。通过这种方式,研讨会的总体范围和目标是将这些领域的研究人员聚集在一起,实现一个路线图,该路线图可以通过转换、丰富和部署用于管理和使用电子科学基础设施的高级可视化用户界面来支持研究活动的加速。这一领域的研究进展可以支持分布式大数据分析在虚拟现实中的创建、配置、管理和使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Road Mapping Infrastructures for Advanced Visual Interfaces Supporting Big Data Applications in Virtual Research Environments
Handling the complexity of relevant data requires new techniques about data access, visualization, perception, and interaction for innovative and successful strategies. In order to address human-computer interaction, cognitive eficiency, and interoperability problems, a generic information visualization, user empowerment, as well as service integration and mediation approach based on the existing state-of-the-art in the relevant areas of computer science has to be achieved. This workshop will address these issues with a special focus on supporting distributed Big Data analysis in Virtual Research Environments (VREs). In this way, the overall scope and goal of the workshop is to bring together researchers in these areas to achieve a road map, which can support the acceleration in research activities by means of transforming, enriching, and deploying advanced visual user interfaces for managing and using e-Science infrastructures. Advancements in this fields of research can i.e. support the, creation, configuration, management, and usage of distributed Big Data analysis in VREs.
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