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Scalable Link Discovery for Modern Data-Driven Applications

. Proceedings of the The 15th International Semantic Web Conference (ISWC2016) 2016, Doctoral Consortium Track, Kobe, Japan, 17. October - 21. October 2016, (2016)

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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)LIGER – Link Discovery with Partial Recall, , and . Proceedings of Ontology Matching Workshop 2020, (2020)Time-efficient link discovery for data-driven applications.. University of Paderborn, Germany, (2021)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)Record Linkage in Medieval and Early Modern Text., , , and . Population Reconstruction, Springer, (2015)LIMES: A Framework for Link Discovery on the Semantic Web., , , , , , , and . Künstliche Intell., 35 (3): 413-423 (2021)Spam Filtering: an Active Learning Approach using Incremental Clustering., , and . WIMS, page 23:1-23:12. ACM, (2014)