| Extraction of validating shapes from very large knowledge graphs K Rabbani, M Lissandrini, K Hose Proceedings of the VLDB Endowment 16 (5), 1023-1032, 2023 | 45 | 2023 |
| SHACL and ShEx in the wild: a community survey on validating shapes generation and adoption K Rabbani, M Lissandrini, K Hose Companion Proceedings of the Web Conference 2022, 260-263, 2022 | 39 | 2022 |
| Optimizing SPARQL Queries using Shape Statistics K Rabbani, M Lissandrini, K Hose Proceedings of the 24th International Conference on Extending Database …, 2021 | 18 | 2021 |
| ODIN: A dataspace management system S Nadal Francesch, K Rabbani, Ó Romero Moral, ST Nigatu Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations …, 2019 | 17 | 2019 |
| SHACTOR: improving the quality of large-scale knowledge graphs with validating shapes K Rabbani, M Lissandrini, K Hose Companion of the 2023 International Conference on Management of Data, 151-154, 2023 | 14 | 2023 |
| ARDI: automatic generation of RDFS models from heterogeneous data sources S Tadesse, C Gómez, O Romero, K Hose, K Rabbani 2019 IEEE 23rd International Enterprise Distributed Object Computing …, 2019 | 6 | 2019 |
| Supporting the Semi-Automatic Creation of the Target Schema in Data Integration Systems K Rabbani Master’s thesis, Technische Univesitat Berlin-Universitat Politècnica de …, 2019 | 1 | 2019 |
| Scalable Extraction and Adoption of Shapes for Improving Data Quality and Query Processing in Knowledge Graphs K Rabbani | | 2024 |
| Extraction of Validating Shapes from very large Knowledge Graphs [Extended Version] K Rabbani, M Lissandrini, K Hose | | |
| End-to-End Incremental Data Integration via Knowledge Graphs J Flores, K Rabbani, S Nadal, C Gómez, O Romero, E Jamin, ... | | |
Katja HoseProfessor, TU WienVerified email at tuwien.ac.at
