Wouter Beek
TitelGeciteerd doorJaar
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
972014
LOD lab: Experiments at LOD scale
L Rietveld, W Beek, S Schlobach
International Semantic Web Conference, 339-355, 2015
242015
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
232015
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
222013
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
212016
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
212010
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
172016
A Contextualised Semantics for owl: sameAs
W Beek, S Schlobach, F van Harmelen
International Semantic Web Conference, 405-419, 2016
152016
Dynalearn: Architecture and approach for investigating conceptual system knowledge acquisition
B Bredeweg, J Liem, F Linnebank, R Bühling, M Wißner, JG del Río, ...
International Conference on Intelligent Tutoring Systems, 272-274, 2010
142010
Meta-data for a lot of LOD
L Rietveld, W Beek, R Hoekstra, S Schlobach
Semantic Web 8 (6), 1067-1080, 2017
102017
LOD-a-lot
JD Fernández, W Beek, MA Martínez-Prieto, M Arias
International Semantic Web Conference, 75-83, 2017
82017
A web observatory for the machine processability of structured data on the web
W Beek, P Groth, S Schlobach, R Hoekstra
Proceedings of the 2014 ACM conference on Web science, 249-250, 2014
82014
Differentiating qualitative representations into learning spaces
J Liem, W Beek, B Bredeweg
24th International Workshop on Qualitative Reasoning (QR’10), 37-46, 2010
82010
Literally better: Analyzing and improving the quality of literals
W Beek, F Ilievski, J Debattista, S Schlobach, J Wielemaker
Semantic Web, 1-20, 2017
72017
Frank: The LOD cloud at your fingertips?
W Beek, L Rietveld
CEUR workshop proceedings 1361, 41-46, 2015
72015
Context-dependent help for the DynaLearn modelling and simulation workbench
W Beek, B Bredeweg, S Latour
International Conference on Artificial Intelligence in Education, 420-422, 2011
72011
Basic help and teachable agent
M Wißner, M Häring, R Bühling, W Beek, F Linnebank, J Liem, ...
Deliverable D5 3, 2010
62010
LOTUS: Adaptive text search for big linked data
F Ilievski, W Beek, M van Erp, L Rietveld, S Schlobach
International Semantic Web Conference, 470-485, 2016
52016
LOTUS: Linked Open Text UnleaShed.
F Ilievski, W Beek, M Van Erp, L Rietveld, S Schlobach
COLD, 2015
52015
Cliopatria: A logical programming infrastructure for the semantic web
J Wielemaker, W Beek, M Hildebrand, J van Ossenbruggen
Semantic Web Journal, 2015
52015
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Artikelen 1–20