Paper Info
Title
Report on the first workshop on bias in automatic knowledge graph construction at AKBC 2020
Abstract
AbstractWe report on the First Workshop on Bias in Automatic Knowledge Graph Construction (KG-BIAS), which was co-located with the Automated Knowledge Base Construction (AKBC) 2020 conference. Identifying and possibly remediating any sort of bias in knowledge graphs, or in the methods used to construct or query them, has clear implications for downstream systems accessing and using the information in such graphs. However, this topic remains relatively unstudied, so our main aim for organizing this workshop was to bring together a group of people from a variety of backgrounds with an interest in the topic, in order to arrive at a shared definition and roadmap for the future. Through a program that included two keynotes, an invited paper, three peer-reviewed full papers, and a plenary discussion, we have made initial inroads towards a common understanding and shared research agenda for this timely and important topic.
Year
DOI
Venue
2020
10.1145/3483382.3483393
SIGIR
DocType
Volume
Issue
Journal
54
2
ISSN
Citations 
PageRank 
0163-5840
0
0.34
References 
Authors
0
6
Name
Order
Citations
PageRank
Tara Safavi1645.99
Edgar Meij278646.13
Fatma Özcan328465.01
Miriam Redi400.34
Gianluca Demartini500.68
Chen-Yan Xiong640530.82