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Contact: Maria Maleshkova

Project Status: completed


As the popularity of Linked Data increases, so does the demand for data practitioners possessing the skills and knowledge necessary to understand its main concepts, and apply the associated technologies for data‐analytics purposes. The availability of such expertise is a driver for the sustainable future development of the Linked Data community. It can be achieved through targeted knowledge transfer, in particular through easily accessible training programs addressing the real needs of data practitioners, as proposed in the EUCLID project. EUCLID will facilitate professional training for data practitioners aiming to use Linked Data in their daily work, through a curriculum implemented as a combination of living learning materials and activities (eBook series, webinars, face‐to‐face training), validated by the user community through continuous feedback.

Involved Persons
Maria Maleshkova, Maribel Acosta, Rudi Studer


from: 1 Mai 2012
until: 31 Mai 2014
Funding: EU


Open UniversitySTI InternationalOntotext

Research Group

Web Science

Publications Belonging to the Project
 - book
 - incollection
 - booklet
 - proceedings
 - phdthesis
 - techreport
 - deliverable
 - manual
 - misc
 - unpublished

Fabian Flöck, Maribel Acosta
WikiWho: Precise and Efficient Attribution of Authorship of Revisioned Content
Proceedings of the 23rd international conference on World Wide Web, ACM, April, 2014

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