( en | de | ru )

 

Disambiguation of "Georgala, Kleanthi"

Author of the publication

copydeleteadd this publication to your clipboard
MOCHA2018: The Mighty Storage Challenge at ESWC 2018

, , , , , , and . volume 927 of Communications in Computer and Information Science, page 3--16. Springer, (October 2018)
DOI: 10.1007/978-3-030-00072-1_1

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Kleanthi Aktseli

 

Other publications of authors with the same name

LIGER - link discovery with partial recall., , and . OM@ISWC, volume 2788 of CEUR Workshop Proceedings, page 87-91. CEUR-WS.org, (2020)LIMES - A Framework for Link Discovery on the Semantic Web, , , , , , , and . KI - Künstliche Intelligenz, German Journal of Artificial Intelligence - Organ des Fachbereichs "Künstliche Intelligenz" der Gesellschaft für Informatik e.V., (2021)Dynamic Planning for Link Discovery, , and . The Semantic Web, ESWC 2018, Lecture Notes in Computer Science, page 240--255. Cham, Springer International Publishing, (2018)Time-efficient link discovery for data-driven applications.. University of Paderborn, Germany, (2021)LIGER – Link Discovery with Partial Recall, , and . Proceedings of Ontology Matching Workshop 2020, (2020)Record Linkage in Medieval and Early Modern Text., , , and . Population Reconstruction, Springer, (2015)Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy, , , and . Proceedings of Ontology Matching Workshop 2020, (2020)Applying edge-counting semantic similarities to Link Discovery: Scalability and Accuracy, , , and . Proceedings of Ontology Matching Workshop 2020, (2020)Spam Filtering: an Active Learning Approach using Incremental Clustering., , and . WIMS, page 23:1-23:12. ACM, (2014)Applying edge-counting semantic similarities to link discovery: scalability and accuracy., , , and . OM@ISWC, volume 2788 of CEUR Workshop Proceedings, page 36-47. CEUR-WS.org, (2020)