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, the 15th Extended Semantic Web Conference took place in Heraklion, Greece. You can find more information about ESWC on the official conference website.

The paper describes the CLIP algorithm for entity clustering that substantially outperforms previous approaches. It 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, Dr. Eric Peukert and Prof. Dr. 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.

We congratulate our team members and the autors for receiving the well-deserved best paper award. Interested people can read the openly accessible publication here. Further publications by ScaDS.AI Dresden/Leipzig can be viewed here on our website. We are looking forward to more highly anticipated research papers in the future.