The research paper Using Link Features for Entity Clustering in Knowledge Graphs has received the Best Research Paper Award of the 15th Extended Semantic Web Conference (ESWC) held in June 2018 in Heraklion, Greece. The paper describes the CLIP algorithm for entity clustering that substantially outperforms previous approaches and that can also be applied for repairing entity clusters. CLIP has been added to the FAMER tool, a system for parallel multi-source entity resolution based on Apache Flink. The awarded paper is authored by Alieh Saeedi, Eric Peukert and Erhard Rahm from the database group Leipzig and the Big Data Center ScaDS; Alieh presented the paper at the conference. The ESWC 2018 research track had 31 papers selected from 132 submissions so that the Best Research paper award represents a significant distinction.
