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    Erik Mannens
    205
    Contribution points 
    (See all users)

    Contributions by role

    PeerJ author 170
    PeerJ PrePrints author 35

    Contributions by subject area

    Data-Science 135
    Digital-Libraries 135
    Emerging-Technologies 135
    World-Wide-Web-and-Web-Science 135

    Erik Mannens


    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
    5 citations
    342 downloads
    2,092 views
    Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
    data-science
    digital-libraries
    emerging-technologies
    world-wide-web-and-web-science
    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
    105 downloads
    456 views
    Anastasia Dimou, Sahar Vahdati, Angelo Di Iorio, Christoph Lange, Ruben Verborgh, Erik Mannens
    data-science
    digital-libraries
    emerging-technologies
    world-wide-web-and-web-science
    https://doi.org/10.7287/peerj.preprints.2616v1
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