82 citations · 86 across the 3 of their papers we have counts for
3 papers
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…
Construction of Knowledge Graphs: State and Challenges
Marvin Hofer, Daniel Obraczka, Alieh Saeedi +2
With knowledge graphs (KGs) at the center of numerous applications such as recommender systems and question answering, the need for generalized pipelines to construct and continuou…
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…