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Towards Mega-Modeling: A Walk through Data Analysis Experiences

机译:迈向超级建模:数据分析经验

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摘要

Big data is perceived as a fundamental ingredient for fostering the progress of science in a variety of disciplines. However, we believe that the current ICT solutions are not adequate for this challenge. Abstractions and languages for big data management are tailored to vertical domains and influenced by underlying ICT platforms, hence unsuitable for supporting "computational interdisciplinarity", as it is required if one wants to use the best of, e.g., analytical, inductive, and simulation techniques, all at work on the same data. In other words, "our society is data-rich, but it lacks the conceptual tools to handle it" .
机译:大数据被视为促进各种学科科学进步的基本要素。但是,我们认为,当前的ICT解决方案不足以应对这一挑战。大数据管理的抽象和语言是为垂直领域量身定制的,并受基础ICT平台的影响,因此不适合支持“计算跨学科性”,因为如果要使用分析,归纳和仿真技术中的最佳方法,则需要它,所有工作都在相同的数据上。换句话说,“我们的社会数据丰富,但缺乏处理它的概念工具”。

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