WDAqua
Financiado
Answering Questions using Web Data
The H2020 work programme aims at increasing citizens’ participation in the digital society and making infrastructures
smart. These processes are increasingly data-driven. Our central motivation is that sharing, connecting,
managin...
The H2020 work programme aims at increasing citizens’ participation in the digital society and making infrastructures
smart. These processes are increasingly data-driven. Our central motivation is that 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, and it still requires further research. WDAqua aims at advancing the state of the art by intertwining
training, research and innovation efforts, centered around one service: data-driven question answering.
Question answering is immediately useful to a wide audience of end users, and we will demonstrate this in settings
including e-commerce, public sector information, publishing and smart cities. Question answering also covers
web science and data science broadly, leading to transferrable research results and to transferrable skills of
the researchers who have finished our training programme.
To ensure that our research improves question answering overall, we require every individual research project to connect at least two steps of the question answering process.Intersectoral secondments (within a consortium covering academia, research institutes and industrial research)
as well as network-wide workshops, R&D challenges and innovation projects further balance groundbreaking
research and the needs of society and industry. Training-wise these offers equip ESRs with the expertise
and transferable technical and non-technical skills that will allow them to pursue a successful career as an academic,
decision maker, practitioner or entrepreneur. Our research programme capitalizes on previous research
excellence of the beneficiaries; the training programme builds on the excellent local programs of the academic
beneficiaries, as well as on a significant commitment from non-academic partners to management.
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Duración del proyecto: 48 meses
Fecha Inicio: 2014-12-18
Fecha Fin: 2018-12-31
Fecha Fin: 2018-12-31
Línea de financiación: concedida
El organismo H2020 notifico la concesión del proyecto el día 2018-12-31
Línea de financiación objetivo
El proyecto se financió a través de la siguiente ayuda:
MSCA-ITN-2014-ETN:
Marie Skłodowska-Curie Innovative Training Networks (ITN-ETN)
Cerrada
hace 10 años
Presupuesto
El presupuesto total del proyecto asciende a
4M€
Líder del proyecto
RHEINISCHE FRIEDRICHWILHELMSUNIVERSITAT BONN
No se ha especificado una descripción o un objeto social para esta compañía.
Perfil tecnológico
TRL
4-5
Perfil tecnológico
TRL
4-5
1.78M€ |
Participante
N.D. |
Participante