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Kleanthi Georgala
Kleanthi Georgala
AKSW, DICE Group, University of Leipzig
Bestätigte E-Mail-Adresse bei informatik.uni-leipzig.de
Titel
Zitiert von
Zitiert von
Jahr
An efficient approach for the generation of Allen relations
K Georgala, MA Sherif, AC Ngonga Ngomo
ECAI 2016, 948-956, 2016
292016
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
262021
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
252014
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
132018
Dynamic planning for link discovery
K Georgala, D Obraczka, AC Ngonga Ngomo
The Semantic Web: 15th International Conference, ESWC 2018, Heraklion, Crete …, 2018
72018
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
42017
Record linkage in medieval and early modern text
K Georgala, B van der Burgh, M Meeng, A Knobbe
Population Reconstruction, 173-195, 2015
42015
LIGER-link discovery with partial recall.
K Georgala, MA Sherif, ACN Ngomo
OM@ ISWC, 87-91, 2020
12020
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
12016
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
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