Software and Semantic Computing

软件和语义计算

• 批准号: 1000230880-2015
• 负责人: Bagheri, Ebrahim
• 金额: $ 6.56万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695304
• 关键词: Software; Semantic; Computing

It has been reported that 90% of all the data in the world has been generated over the past two years either through user-generated content or by scientific or industrial entities. Analytics software applications, large-scale and data-intensive, can extract insight from this abundant data if they are systematically designed. The pressing challenge is to develop data analytics software methodologies and platforms that can help with the understanding of the value and meaning of this data. This research project is uniquely positioned to address this challenge by equipping software engineers and data scientists with suitable tools and techniques for developing data analytics software applications that have the right set of functionality and are resilient to large amounts of data.

据报道，世界上90%的数据是在过去两年中通过用户生成的内容或科学或工业实体生成的。大规模和数据密集型的分析软件应用程序如果经过系统设计，可以从这些丰富的数据中提取洞察力。迫切的挑战是开发数据分析软件方法和平台，以帮助理解这些数据的价值和意义。该研究项目具有独特的优势，可以通过为软件工程师和数据科学家提供合适的工具和技术来开发具有正确功能集并能适应大量数据的数据分析软件应用程序来应对这一挑战。