| Test-driven evaluation of linked data quality D Kontokostas, P Westphal, S Auer, S Hellmann, J Lehmann, ... Proceedings of the 23rd international conference on World Wide Web, 747-758, 2014 | 360 | 2014 |
| DL-Learner—A framework for inductive learning on the Semantic Web L Bühmann, J Lehmann, P Westphal Journal of Web Semantics 39, 15-24, 2016 | 148 | 2016 |
| Distributed semantic analytics using the SANSA stack J Lehmann, G Sejdiu, L Bühmann, P Westphal, C Stadler, I Ermilov, S Bin, ... The Semantic Web–ISWC 2017: 16th International Semantic Web Conference …, 2017 | 116 | 2017 |
| Simplified RDB2RDF Mapping. C Stadler, J Unbehauen, P Westphal, MA Sherif, J Lehmann LDOW@ WWW 1409, 2015 | 45 | 2015 |
| Dl-learner structured machine learning on semantic web data L Bühmann, J Lehmann, P Westphal, S Bin Companion Proceedings of the The Web Conference 2018, 467-471, 2018 | 41 | 2018 |
| Databugger: A test-driven framework for debugging the web of data D Kontokostas, P Westphal, S Auer, S Hellmann, J Lehmann, ... Proceedings of the 23rd International Conference on World Wide Web, 115-118, 2014 | 33 | 2014 |
| SML-Bench–A benchmarking framework for structured machine learning P Westphal, L Bühmann, S Bin, H Jabeen, J Lehmann Semantic Web 10 (2), 231-245, 2019 | 31 | 2019 |
| Managing geospatial linked data in the GeoKnow project J Lehmann, S Athanasiou, A Both, A Garcia Rojas, G Giannopoulos, ... The Semantic Web in Earth and Space Science. Current Status and Future …, 2015 | 25 | 2015 |
| SPIRIT: a semantic transparency and compliance stack P Westphal, JDF Garcia, S Kirrane, J Lehmann Proceedings of the 14th International Conference on Semantic Systems, 1, 2018 | 14 | 2018 |
| Countering language attrition with PanLex and the Web of Data P Westphal, C Stadler, J Pool Semantic Web 6 (4), 347-353, 2015 | 14 | 2015 |
| The Tale of Sansa Spark. I Ermilov, J Lehmann, G Sejdiu, L Bühmann, P Westphal, C Stadler, S Bin, ... ISWC (Posters, Demos & Industry Tracks), 2017 | 13 | 2017 |
| Implementing scalable structured machine learning for big data in the SAKE project S Bin, P Westphal, J Lehmann, A Ngonga 2017 IEEE International Conference on Big Data (Big Data), 1400-1407, 2017 | 10 | 2017 |
| The geoknow handbook J Lehmann, S Athanasiou, A Both, L Buehmann, A Garcia-Rojas, ... Technical report, 2015 | 7 | 2015 |
| A simulated annealing meta-heuristic for concept learning in description logics P Westphal, S Vahdati, J Lehmann International Conference on Inductive Logic Programming, 266-281, 2021 | 5 | 2021 |
| Quality assurance of RDB2RDF mappings P Westphal | 4 | 2014 |
| QROWD—A Platform for Integrating Citizens in Smart City Data Analytics LD Ibáñez, E Maddalena, R Gomer, E Simperl, M Zeni, E Bignotti, ... Sustainable Smart Cities: Theoretical Foundations and Practical …, 2022 | 3 | 2022 |
| Qrowd: Because big data integration is humanly possible E Maddalena, LD Ibáñez, E Simperl, M Zeni, E Bignotti, F Giunchiglia, ... The sixth AAAI Conference on Human Computation and Crowdsourcing, [1-2], 2018 | 3 | 2018 |
| Jassa-A JavaScript suite for SPARQL-based faceted search. C Stadler, P Westphal, J Lehmann ISWC (Developers Workshop), 31-36, 2014 | 3 | 2014 |
| Test-driven data quality evaluation for sparql endpoints D Kontokostas, S Auer, S Hellmann, J Lehmann, P Westphal, ... Submitted to 12th International Semantic Web Conference, 21-25, 2013 | 2 | 2013 |
| Spatial concept learning and inference on geospatial polygon data P Westphal, T Grubenmann, D Collarana, S Bin, L Bühmann, J Lehmann Knowledge-Based Systems 241, 108233, 2022 | 1 | 2022 |
