Answering Questions using Web Data



Prof. Dr. Sören Auer


EU (Horizion 2010), MSCA ITN


2017 – 2018




Smart infrastructures and citizens’ participation in the digital society are increasingly data-driven. Sharing, connecting, managing, analysing and understanding data on the web will enable better services for citizens, communities and industry. However, turning web data into successful services for the public and private sector requires skilled web and data scientists as well as further research in the field.

WDAqua aims to advance the field of data-driven question answering through a combination of training, research and innovation. Question answering is relevant to a diverse range of end users, and we will demonstrate this in settings including e-commerce, public sector information, publishing and smart cities. Sharing, connecting, analyzing and understanding data on the Web can provide better services to citizens, communities, and the industry. One way to achieve this is through data-driven question answering, by delivering precise and comprehensive answers to natural language questions, primarily by making better use of the knowledge encoded in the Web of Data.

The aim of the WDAqua project is to advance the state of the art in this field by interleaving training, research, and innovation.


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