| Luzzu—A Methodology and Framework for Linked Data Quality Assessment J Debattista, S Auer, C Lange Journal of Data and Information Quality (JDIQ) 8 (1), 4, 2016 | 161 | 2016 |
| Evaluating the Quality of the LOD Cloud: An Empirical Investigation J Debattista, C Lange, S Auer, D Cortis Semantic Web 9 (6), 859-901, 2018 | 102 | 2018 |
| Luzzu - A Framework for Linked Data Quality Assessment J Debattista, S Auer, C Lange 2016 IEEE Tenth International Conference on Semantic Computing (ICSC)}, 124 …, 2016 | 75 | 2016 |
| The linked open data cloud JP McCrae, A Abele, P Buitelaar, R Cyganiak, A Jentzsch, ... Lod-cloud. net, 2019 | 70 | 2019 |
| daQ, an Ontology for Dataset Quality Information. J Debattista, C Lange, S Auer LDOW, 1-9, 2014 | 67 | 2014 |
| InsurTech D Cortis, J Debattista, J Debono, M Farrell Disrupting finance: FinTech and strategy in the 21st century, 71-84, 2018 | 60 | 2018 |
| Representing dataset quality metadata using multi-dimensional views J Debattista, C Lange, S Auer Proceedings of the 10th International Conference on Semantic Systems, 92-99, 2014 | 47 | 2014 |
| Linked'Big'Data: towards a manifold increase in big data value and veracity J Debattista, C Lange, S Scerri, S Auer 2015 IEEE/ACM 2nd International Symposium on Big Data Computing (BDC), 92-98, 2015 | 40 | 2015 |
| Towards ontology quality assessment S Mc Gurk, C Abela, J Debattista CEUR, 2017 | 39 | 2017 |
| Towards cleaning-up open data portals: A metadata reconciliation approach A Tygel, S Auer, J Debattista, F Orlandi, MLM Campos 2016 ieee tenth international conference on semantic computing (icsc), 71-78, 2016 | 34 | 2016 |
| A preliminary investigation towards improving linked data quality using distance-based outlier detection J Debattista, C Lange, S Auer Joint International Semantic Technology Conference, 116-124, 2016 | 31 | 2016 |
| Are linked datasets fit for open-domain question answering? A quality assessment H Thakkar, KM Endris, JM Gimenez-Garcia, J Debattista, C Lange, S Auer Proceedings of the 6th International Conference on Web Intelligence, Mining …, 2016 | 31 | 2016 |
| Quality assessment of linked datasets using probabilistic approximation J Debattista, S Londoño, C Lange, S Auer European semantic web conference, 221-236, 2015 | 28 | 2015 |
| 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, 2017 | 21 | 2017 |
| Is the LOD cloud at risk of becoming a museum for datasets? Looking ahead towards a fully collaborative and sustainable LOD cloud J Debattista, J Attard, R Brennan, D O'Sullivan Companion Proceedings of The 2019 World Wide Web Conference, 850-858, 2019 | 19 | 2019 |
| Ontology-based Rules for Recommender Systems. J Debattista, S Scerri, I Rivera, S Handschuh SeRSy, 49-60, 2012 | 19 | 2012 |
| Detection of malicious VBA macros using machine learning methods E Aboud, D O'Brien | 15 | 2018 |
| Understanding information professionals: a survey on the quality of linked data sources for digital libraries J Debattista, L McKenna, R Brennan OTM Confederated International Conferences" On the Move to Meaningful …, 2018 | 15 | 2018 |
| Leveraging knowledge graphs of movies and their content for web-scale analysis F Orlandi, J Debattista, IA Hassan, C Conran, M Latifi, M Nicholson, ... 2018 14th International Conference on Signal-Image Technology & Internet …, 2018 | 14 | 2018 |
| Assessing the Quality of R2RML Mappings. AC Junior, J Debattista, D O'Sullivan SEM4TRA-AMAR@ SEMANTiCS, 2019 | 13 | 2019 |
Sören AuerLeibniz University of Hannover, Leibniz TIB, L3S Research CenterVerified email at et-inf.uni-hannover.de
