Researcher
Tom De Nies
- Disciplines:Interactive and intelligent systems, Multimedia processing not elsewhere classified
Affiliations
- Department of Electronics and information systems (Department)
Member
From1 Apr 2011 → 30 Sep 2017
Publications
1 - 10 of 46
- Web-scale provenance reconstruction of implicit information diffusion on social media(2018)
Authors: Io Taxidou, Sven Lieber, Peter M. Fischer, Tom De Nies, Ruben Verborgh
Pages: 47 - 79 - PoDiGG : a public transport RDF dataset generator(2017)
Authors: Ruben Taelman, Ruben Verborgh, Tom De Nies, Erik Mannens
Pages: 843 - 844 - Enabling automatic provenance-based trust assessment of web content(2016)
Authors: Tom De Nies
- Normalized semantic web distance(2016)Volume: 9678
Authors: Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, et al.
Pages: 69 - 84 - A model of provenance applied to biodiversity datasets(2016)
Authors: Flor K Amanqui, Tom De Nies, Anastasia Dimou, Ruben Verborgh, Erik Mannens, Dilvan Moreira
Pages: 235 - 240 - A distance-based approach for semantic dissimilarity in knowledge graphs(2016)
Authors: Tom De Nies, Christian Beecks, Fréderic Godin, Wesley De Neve, Grzegorz Stepien, Dörthe Arndt, Laurens De Vocht, Ruben Verborgh, Thomas Seidl, Erik Mannens, et al.
Pages: 253 - 256 - Reconstructing human-generated provenance through similarity-based clustering(2016)
Authors: Tom De Nies, Erik Mannens, Rik Van de Walle
Pages: 191 - 194 - Information diffusion and provenance of interactions in Twitter: is it only about retweets?(2016)
Authors: Io Taxidou, Peter Fischer, Tom De Nies, Erik Mannens, jacqueline Bourdeau, Jim Hendler, Roger Nkambou Nkambou, Ian Horrocks, Ben Y Zhao
Pages: 113 - 114 - Interlinking books with the world: using the semantic web to create books as reliable, machine-understandable information service providers(2015)
Authors: Ben De Meester, Tom De Nies, Wesley De Neve, Rik Van de Walle
- Modeling information diffusion in social media as provenance with W3C PROV(2015)
Authors: Io Taxidou, Peter M Fischer, Tom De Nies, Erik Mannens, Ruben Verborgh, Rik Van de Walle
Pages: 819 - 824