<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cara Widmer</style></author><author><style face="normal" font="default" size="100%">Md Kamruzzaman Sarker</style></author><author><style face="normal" font="default" size="100%">Srikanth Nadella</style></author><author><style face="normal" font="default" size="100%">Joshua Fiechter</style></author><author><style face="normal" font="default" size="100%">Ion Juvina</style></author><author><style face="normal" font="default" size="100%">Brandon Minnery</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Joshua Schwartz</style></author><author><style face="normal" font="default" size="100%">Michael Raymer</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Towards Human-Compatible XAI: Explaining Data Differentials with Concept Induction over Background Knowledge</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Web Semantics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2023</style></year></dates><volume><style face="normal" font="default" size="100%">79:100807</style></volume><language><style face="normal" font="default" size="100%">eng</style></language></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>13</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Ion Juvina</style></author><author><style face="normal" font="default" size="100%">William R. Aue</style></author><author><style face="normal" font="default" size="100%">Brandon Minnery</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Srikanth Nadella</style></author><author><style face="normal" font="default" size="100%">Md Kamruzzaman Sarker</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Counterfactual reasoning over large-scale human performance optimization experiments</style></title><secondary-title><style face="normal" font="default" size="100%">Virtual poster presented at the annual meeting of the Psychonomic Society, November 2020</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Md Kamruzzaman Sarker</style></author><author><style face="normal" font="default" size="100%">Joshua Schwartz</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Lu Zhou</style></author><author><style face="normal" font="default" size="100%">Srikanth Nadella</style></author><author><style face="normal" font="default" size="100%">Brandon Minnery</style></author><author><style face="normal" font="default" size="100%">Ion Juvina</style></author><author><style face="normal" font="default" size="100%">Michael L. Raymer</style></author><author><style face="normal" font="default" size="100%">William R. Aue</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Wikipedia Knowledge Graph for Explainable AI</style></title><secondary-title><style face="normal" font="default" size="100%">Second Iberoamerican Knowledge Graphs and Semantic Web Conference (KGSWC)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">11/2020</style></date></pub-dates></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Explainable artificial intelligence (XAI) requires domain information to explain a system's decisions, for which structured forms of domain information like Knowledge Graphs (KGs) or ontologies are best suited. As such, readily available KGs are important to accelerate progress in XAI. To facilitate the advancement of XAI, we present the Wikipedia Knowledge Graph (WKG), based on information from English Wikipedia. Each Wikipedia article title, its corresponding category, and the category hierarchy are transformed into different entities in the knowledge graph. As the Wikipedia category hierarchy is not a tree, instead forming a graph, to make the finding process of the parent category easier, we break cycles in the category hierarchy. We evaluate whether the WKG is helpful to improve XAI compared with existing KGs, finding that WKG is better suited than the current state of the art. We also compare the cycle-free WKG with the Suggested Upper Merged Ontology (SUMO) and DBpedia schema KGs, finding minimal to no information loss.&lt;/p&gt;
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