Software and Semantic Computing

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由科学或工业实体产生的。分析软件应用程序，大规模和数据密集型，可以从这些丰富的数据中提取洞察力，如果他们被系统地设计。迫切的挑战是开发数据分析软件、方法和平台，帮助理解这些数据的价值和意义。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和对大量数据具有弹性的数据分析软件应用程序，该研究项目具有独特的定位，可以解决这一挑战。

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.