Development of a Software Component Library to Support the Rapid Assembly of Geo-Centred Linked Data Applications

在万维网范围内公布数据的新标准和新举措的出现（特别是转向链接数据格式），使人们能够获得关于联合王国和世界各地许多其他国家不断变化的经济、地理和社会文化景观的丰富信息来源。为了开发这些关联数据资产的潜在潜力，我们需要提供工具和技术，使数据消费者能够以适合特定决策过程的方式轻松选择、过滤、操作、可视化、转换和交流数据。在这个项目中，我们将使组织能够从英国不断增长的关联数据资产组合中获得最大价值。特别是，我们将开发一套软件组件，使不同的组织能够快速组装“目标导向”的关联数据应用程序和数据处理管道，以提高他们的意识和对英国的地理，经济和社会文化景观的理解。RAGLD（快速组装地理关联数据）是Orlando Survey，Seme4 Ltd和南安普顿大学之间的合作。

The advent of new standards and initiatives for data publication in the context of the World Wide Web (in particular the move to linked data formats) has resulted in the availability of rich sources of information about the changing economic, geographic and socio-cultural landscape of the United Kingdom, and many other countries around the world. In order to exploit the latent potential of these linked data assets, we need to provide access to tools and technologies that enable data consumers to easily select, filter, manipulate, visualize, transform and communicate data in ways that are suited to specific decision-making processes.In this project, we will enable organizations to press maximum value from the UK’s growing portfolio of linked data assets. In particular, we will develop a suite of software components that enables diverse organizations to rapidly assemble ‘goal-oriented’ linked data applications and data processing pipelines in order to enhance their awareness and understanding of the UK’s geographic, economic and socio-cultural landscape.RAGLD (Rapid Assembly of Geo-Linked Data) is collaboration between the Ordnance Survey, Seme4 Ltd and the University of Southampton.