| 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 | 157 | 2014 |
| LOD-a-lot JD Fernández, W Beek, MA Martínez-Prieto, M Arias International semantic web conference, 75-83, 2017 | 48 | 2017 |
| A Contextualised Semantics for owl:sameAs W Beek, S Schlobach, F van Harmelen European Semantic Web Conference, 405-419, 2016 | 37 | 2016 |
| 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 | 36 | 2013 |
| Detecting erroneous identity links on the web using network metrics J Raad, W Beek, F Van Harmelen, N Pernelle, F Saïs International semantic web conference, 391-407, 2018 | 30 | 2018 |
| sameAs.cc: The Closure of 500M owl:sameAs Statements W Beek, J Raad, J Wielemaker, F Van Harmelen European semantic web conference, 65-80, 2018 | 29 | 2018 |
| 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 | 28 | 2015 |
| 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 | 27 | 2016 |
| 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 | 27 | 2016 |
| LOD lab: Experiments at LOD scale L Rietveld, W Beek, S Schlobach International semantic web conference, 339-355, 2015 | 27 | 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 | 22 | 2010 |
| 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 | 17 | 2010 |
| Meta-data for a lot of LOD L Rietveld, W Beek, R Hoekstra, S Schlobach Semantic Web 8 (6), 1067-1080, 2017 | 15 | 2017 |
| 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 | 11 | 2018 |
| LOD lab: scalable linked data processing W Beek, L Rietveld, F Ilievski, S Schlobach Reasoning Web International Summer School, 124-155, 2016 | 11 | 2016 |
| LOTUS: Adaptive text search for big linked data F Ilievski, W Beek, M van Erp, L Rietveld, S Schlobach European Semantic Web Conference, 470-485, 2016 | 11 | 2016 |
| LOTUS: Linked Open Text UnleaShed. F Ilievski, W Beek, M Van Erp, L Rietveld, S Schlobach COLD, 2015 | 11 | 2015 |
| Are names meaningful? Quantifying social meaning on the semantic web S de Rooij, W Beek, P Bloem, F van Harmelen, S Schlobach International Semantic Web Conference, 184-199, 2016 | 10 | 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 Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019 | 9 | 2019 |
| Connecting KOSs and the LOD cloud R Szostak, A Scharnhorst, W Beek, RP Smiraglia arXiv preprint arXiv:1802.08141, 2018 | 9 | 2018 |
Stefan SchlobachVrije Universiteit AmsterdamVerified email at vu.nl
