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Content archived on 2024-06-18

Semantic Data Management

Objective

Semantic data management refers to a range of techniques for the manipulation and usage of data based
on its meaning. Semantically enabled linked and open data have been published at an increasing pace in
recent years, and this technology has been adopted by major industrial players, including Google, Yahoo,
Oracle, Talis and IBM. But to reach their full potential of becoming a transformative technology enabling
a data-driven economy, there are important research challenges related to semantic data, particularly
regarding maturity, dynamicity and the ability to process efficiently huge amounts of interconnected
semantic data. SemData brings together some of the internationally leading research centres in the area of
managing semantic data to address these challenges.

Topic(s)

Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.

Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

FP7-PEOPLE-2013-IRSES
See other projects for this call

Funding Scheme

Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.

MC-IRSES - International research staff exchange scheme (IRSES)

Coordinator

UNIVERSIDAD POLITECNICA DE MADRID
EU contribution
€ 91 400,00
Address
CALLE RAMIRO DE MAEZTU 7 EDIFICIO RECTORADO
28040 MADRID
Spain

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Region
Comunidad de Madrid Comunidad de Madrid Madrid
Activity type
Higher or Secondary Education Establishments
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Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

No data

Participants (4)

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