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cs.LG2024
Graph-based Active Learning for Entity Cluster Repair
Victor Christen, Daniel Obraczka, Marvin Hofer +2
Cluster repair methods aim to determine errors in clusters and modify them so that each cluster consists of records representing the same entity. Current cluster repair methodologi…
cs.LG2021★ 4 cited
EAGER: Embedding-Assisted Entity Resolution for Knowledge Graphs
Daniel Obraczka, Jonathan Schuchart, Erhard Rahm
Entity Resolution (ER) is a constitutional part for integrating different knowledge graphs in order to identify entities referring to the same real-world object. A promising approa…