August 24th, 12 PM to 1 PM, Simon Razniewski is senior researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. He is Head of the Knowledge Base Construction and Quality area which is focusing on the construction and completeness of knowledge bases.

 

The lecture will be held in room 120, Königin-Luise-Straße 24-26.

 

Abstract

Knowledge bases such as Wikidata, YAGO, or the Google Knowledge Graph are increasingly used in applications like entity resolution, structured search or question answering. The correctness of these knowledge bases is generally well understood and at the center of attention in automated construction techniques. About their completeness, in contrast, most knowledge is anecdotal: Completeness is usually correlated with popularity of topics, yet understanding whether a knowledge base has complete information on a specific topic is often difficult.
In this talk I will survey the problem of understanding the completeness of knowledge bases. I will present three approaches:
(i) data-inherent inferences about completeness using association rule mining, (ii) extraction of cardinality information from text sources, and (iii) various tools we developed to help knowledge base curators and consumers in mapping and understanding the completeness of knowledge bases.

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Simon Razniewski leads the Knowledge Base Construction and Quality area at the Max Planck Institute for Informatics in Saarbrücken, Germany.

More:

http://simonrazniewski.com/

https://www.mpi-inf.mpg.de/departments/databases-and-information-systems/research/#c13511