Domain-specific visual languages for big data analytics applications

适用于大数据分析应用程序的特定领域可视化语言

• 批准号: DP170101932
• 负责人: Prof John Grundy
• 金额: $ 23.79万
• 依托单位: Monash University
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2017
• 资助国家: 澳大利亚
• 起止时间: 2017-05-02 至 2020-03-17
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP170101932
• 关键词: Domain; specific; visual; languages; big

This project aims to invent domain-specific visual languages and support model-driven engineering based infrastructure so domain experts can specify, generate and apply complex data analytics and visualisation techniques. Many domains, including intelligent transport, business intelligence, and population health, need more effective “big data” analytics and visualisation. A challenge is to combine detailed domain knowledge – what the data means and what it can be used for – with sophisticated, scalable computational techniques to mine and present information from the huge volumes of raw data. This project is expected to improve productivity and quality of big data analytics and visualisation in critical domains.

该项目旨在发明特定领域的可视化语言，并支持基于模型驱动的工程基础设施，以便领域专家可以指定，生成和应用复杂的数据分析和可视化技术。包括智能交通、商业智能和人口健康在内的许多领域都需要更有效的“大数据”分析和可视化。一个挑战是将联合收割机详细的领域知识--数据的含义和用途--与复杂的、可扩展的计算技术结合起来，从大量的原始数据中挖掘和呈现信息。该项目预计将提高关键领域大数据分析和可视化的生产力和质量。