| LIMES: A Framework for Link Discovery on the Semantic Web AC Ngonga Ngomo, MA Sherif, K Georgala, MM Hassan, K Dreßler, ... KI-Künstliche Intelligenz, 1-11, 2021 | 31 | 2021 |
| An efficient approach for the generation of Allen relations K Georgala, MA Sherif, AC Ngonga Ngomo ECAI 2016, 948-956, 2016 | 30 | 2016 |
| Spam filtering: An active learning approach using incremental clustering K Georgala, A Kosmopoulos, G Paliouras Proceedings of the 4th international conference on web intelligence, mining …, 2014 | 24 | 2014 |
| MOCHA2018: The mighty storage challenge at ESWC 2018 K Georgala, M Spasić, M Jovanovik, V Papakonstantinou, C Stadler, ... Semantic Web Challenges: 5th SemWebEval Challenge at ESWC 2018, Heraklion …, 2018 | 16 | 2018 |
| Dynamic planning for link discovery K Georgala, D Obraczka, AC Ngonga Ngomo The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018 | 7 | 2018 |
| An evaluation of models for runtime approximation in link discovery K Georgala, M Hoffmann, ACN Ngomo Proceedings of the International Conference on Web Intelligence, 57-64, 2017 | 5 | 2017 |
| Record linkage in medieval and early modern text K Georgala, B van der Burgh, M Meeng, A Knobbe Population Reconstruction, 173-195, 2015 | 4 | 2015 |
| LIGER-link discovery with partial recall. K Georgala, MA Sherif, ACN Ngomo OM@ ISWC, 87-91, 2020 | 1 | 2020 |
| Using Machine Learning for Link Discovery on the Web of Data ACN Ngomo, D Obraczka, K Georgala Demos at the European Conference on Artificial Intelligence, 2016 | 1 | 2016 |
| Time-efficient link discovery for data-driven applications. K Georgala University of Paderborn, Germany, 2021 | | 2021 |
| Scalable Link Discovery for Modern Data-Driven Applications. K Georgala DC@ ISWC, 25-32, 2016 | | 2016 |
