| Scalable distributed reasoning using mapreduce J Urbani, S Kotoulas, E Oren, F Van Harmelen International semantic web conference, 634-649, 2009 | 339 | 2009 |
| WebPIE: A web-scale parallel inference engine using MapReduce J Urbani, S Kotoulas, J Maassen, F Van Harmelen, H Bal Journal of Web Semantics 10, 59-75, 2012 | 247 | 2012 |
| OWL reasoning with WebPIE: calculating the closure of 100 billion triples J Urbani, S Kotoulas, J Maassen, F Van Harmelen, H Bal Extended Semantic Web Conference, 213-227, 2010 | 242 | 2010 |
| Streaming the web: Reasoning over dynamic data A Margara, J Urbani, F Van Harmelen, H Bal Journal of Web Semantics 25, 24-44, 2014 | 202 | 2014 |
| Exfakt: A framework for explaining facts over knowledge graphs and text MH Gad-Elrab, D Stepanova, J Urbani, G Weikum Proceedings of the twelfth ACM international conference on web search and …, 2019 | 114 | 2019 |
| QueryPIE: Backward reasoning for OWL Horst over very large knowledge bases J Urbani, F Van Harmelen, S Schlobach, H Bal International Semantic Web Conference, 730-745, 2011 | 107 | 2011 |
| Vlog: A rule engine for knowledge graphs D Carral, I Dragoste, L González, C Jacobs, M Krötzsch, J Urbani International Semantic Web Conference, 19-35, 2019 | 95 | 2019 |
| Dynamite: Parallel materialization of dynamic rdf data J Urbani, A Margara, C Jacobs, F Van Harmelen, H Bal International Semantic Web Conference, 657-672, 2013 | 89 | 2013 |
| Column-oriented datalog materialization for large knowledge graphs J Urbani, C Jacobs, M Krötzsch Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 78 | 2016 |
| Scalable RDF data compression with MapReduce J Urbani, J Maassen, N Drost, F Seinstra, H Bal Concurrency and Computation: Practice and Experience 25 (1), 24-39, 2013 | 74 | 2013 |
| Jungle computing: Distributed supercomputing beyond clusters, grids, and clouds FJ Seinstra, J Maassen, RV Van Nieuwpoort, N Drost, T Van Kessel, ... Grids, Clouds and Virtualization, 167-197, 2011 | 74 | 2011 |
| Expressive stream reasoning with laser HR Bazoobandi, H Beck, J Urbani International Semantic Web Conference, 87-103, 2017 | 69 | 2017 |
| Massive semantic web data compression with mapreduce J Urbani, J Maassen, H Bal Proceedings of the 19th ACM International Symposium on High Performance …, 2010 | 59 | 2010 |
| A deep dive into word sense disambiguation with LSTM M Le, M Postma, J Urbani, P Vossen Proceedings of the 27th international conference on computational …, 2018 | 58 | 2018 |
| Extracting novel facts from tables for knowledge graph completion B Kruit, P Boncz, J Urbani International semantic web conference, 364-381, 2019 | 47 | 2019 |
| Exception-enriched rule learning from knowledge graphs MH Gad-Elrab, D Stepanova, J Urbani, G Weikum International Semantic Web Conference, 234-251, 2016 | 41 | 2016 |
| Seven commandments for benchmarking semantic flow processing systems T Scharrenbach, J Urbani, A Margara, E Della Valle, A Bernstein Extended Semantic Web Conference, 305-319, 2013 | 39 | 2013 |
| Efficient model construction for Horn logic with VLog: System description J Urbani, M Krötzsch, C Jacobs, I Dragoste, D Carral International Joint Conference on Automated Reasoning, 680-688, 2018 | 37 | 2018 |
| Commonsense in parts: Mining part-whole relations from the web and image tags N Tandon, C Hariman, J Urbani, A Rohrbach, M Rohrbach, G Weikum Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 37 | 2016 |
| RDFS/OWL reasoning using the MapReduce framework J Urbani, E Oren, F Van Harmelen Science, 1-87, 2009 | 36 | 2009 |
