Wouter Beek
Cited by
Cited by
LOD laundromat: a uniform way of publishing other people’s dirty data
W Beek, L Rietveld, HR Bazoobandi, J Wielemaker, S Schlobach
International semantic web conference, 213-228, 2014
JD Fernández, W Beek, MA Martínez-Prieto, M Arias
International semantic web conference, 75-83, 2017
DynaLearn–An intelligent learning environment for learning conceptual knowledge
B Bredeweg, J Liem, W Beek, F Linnebank, J Gracia, E Lozano, M Wißner, ...
AI Magazine 34 (4), 46-65, 2013
482013 The Closure of 500M owl:sameAs Statements
W Beek, J Raad, J Wielemaker, F Harmelen
European semantic web conference, 65-80, 2018
Detecting erroneous identity links on the web using network metrics
J Raad, W Beek, F Harmelen, N Pernelle, F Saïs
International semantic web conference, 391-407, 2018
A Contextualised Semantics for owl:sameAs
W Beek, S Schlobach, F Harmelen
European Semantic Web Conference, 405-419, 2016
LOD lab: Experiments at LOD scale
L Rietveld, W Beek, S Schlobach
International semantic web conference, 339-355, 2015
ClioPatria: a SWI-Prolog infrastructure for the Semantic Web
J Wielemaker, W Beek, M Hildebrand, J Van Ossenbruggen
Semantic Web 7 (5), 529-541, 2016
LOD Laundromat: Why the Semantic Web needs centralization (even if we don't like it)
W Beek, L Rietveld, S Schlobach, F van Harmelen
IEEE Internet Computing 20 (2), 78-81, 2016
Linked data-as-a-service: the semantic web redeployed
L Rietveld, R Verborgh, W Beek, M Vander Sande, S Schlobach
European Semantic Web Conference, 471-487, 2015
Learning spaces as representational scaffolds for learning conceptual knowledge of system behaviour
B Bredeweg, J Liem, W Beek, P Salles, F Linnebank
European Conference on Technology Enhanced Learning, 46-61, 2010
Meta-data for a lot of LOD
L Rietveld, W Beek, R Hoekstra, S Schlobach
Semantic Web 8 (6), 1067-1080, 2017
Dynalearn: Architecture and approach for investigating conceptual system knowledge acquisition
B Bredeweg, J Liem, F Linnebank, R Bühling, M Wißner, JG Río, P Salles, ...
International Conference on Intelligent Tutoring Systems, 272-274, 2010
Are names meaningful? Quantifying social meaning on the semantic web
S Rooij, W Beek, P Bloem, F Harmelen, S Schlobach
International Semantic Web Conference, 184-199, 2016
Enhancing the usefulness of open governmental data with linked data viewing techniques
E Folmer, W Beek, L Rietveld, S Ronzhin, R Geerling, D den Haan
Connecting KOSs and the LOD cloud
R Szostak, A Scharnhorst, W Beek, RP Smiraglia
arXiv preprint arXiv:1802.08141, 2018
Literally better: Analyzing and improving the quality of literals
W Beek, F Ilievski, J Debattista, S Schlobach, J Wielemaker
Semantic Web 9 (1), 131-150, 2018
Kadaster knowledge graph: Beyond the fifth star of open data
S Ronzhin, E Folmer, P Maria, M Brattinga, W Beek, R Lemmens, ...
Information 10 (10), 310, 2019
LOTUS: Adaptive text search for big linked data
F Ilievski, W Beek, M Erp, L Rietveld, S Schlobach
European Semantic Web Conference, 470-485, 2016
LOTUS: Linked Open Text UnleaShed.
F Ilievski, W Beek, M Van Erp, L Rietveld, S Schlobach
COLD, 2015
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