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Erik Mannens
PeerJ Author
170 Points

Contributions by role

Author 135
Preprint Author 35

Contributions by subject area

Data Science
Digital Libraries
Emerging Technologies
World Wide Web and Web Science

Erik Mannens

PeerJ Author

Summary

Erik Mannens is Professor @ IDLab / CTO Data Science @ imec / Research Manager @ Ghent University since 2005 where he has successfully managed +50 projects. He received his PhD degree in Computer Science Engineering (2011) at UGent, his Master’s degree in Computer Science (1995) at K.U. Leuven University, and his Master’s degree in Electro-Mechanical Engineering (1992) at KAHO Ghent.

Before joining imec-Ghent University-IDLab in 2005 as research manager, he was a software engineering consultant and Java architect for over a decade. His major expertise is centered around big data analytics, metadata modeling, semantic web technologies, broadcasting workflows, iDTV and web development in general. He was co-chair of the W3C Media Fragments Working Group and actively participating in other W3C’s semantic web standardization activities (Media Annotations, Provenance, Hydra, Linked Data Platform, and eGovernment).

Since 2008 Erik is paving the Open Data path in Flanders. He stood at the cradle of the first Hackatons and is a founding member of the Open Knowledge Foundation. (Belgian Chapter). Furthermore his team is owner of the Open Sourced Linked Open Data Publishing frameworks TheDataTank (thedatatank.com), R&Wbase, RML (rml.io), and Linked Data Fragments (linkeddatafragments.org). On all of these subjects he has published +200 papers and book chapters.

Data Science Digital Libraries Emerging Technologies World Wide Web & Web Science

PeerJ Contributions

  • Articles 1
  • Preprints 1
January 30, 2017
Challenges as enablers for high quality Linked Data: insights from the Semantic Publishing Challenge
Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
https://doi.org/10.7717/peerj-cs.105
December 5, 2016 - Version: 1
Challenges as enablers for high quality linked data: Insights from the semantic publishing challenge
Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
https://doi.org/10.7287/peerj.preprints.2616v1