Krzysztof Janowicz, Bo Yan, Blake Regalia, Rui Zhu and Gengchen Mai.
Abstract: We discuss biases in the context of Linked Data, ontologies, and reasoning services and point to the need for both technical and social solutions. We believe that debiasing knowledge graphs will become a pressing issue as these graphs enter everyday life rapidly. This is a provocative topic, not only from a technical perspective but because it will force us as a Semantic Web community to discuss whether we want to debias in the first place and who gets a say in how to do so?
Keywords: Bias; Knowledge Graphs; Machine Learning