<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Sulogna Chowdhury</style></author><author><style face="normal" font="default" size="100%">Monireh Ebrahimi</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Aaron Eberhart</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Memory Networks for RDFS Reasoning: Experiments</style></title><secondary-title><style face="normal" font="default" size="100%">SemREC-SMART 2022, Joint Proceedings of SemREC 2022 and SMART 2022 co-located with 21st International SemanticWeb Conference (ISWC 2022)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2022</style></year><pub-dates><date><style  face="normal" font="default" size="100%">10/2022</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">CEUR Workshop Proceedings 3337, CEUR-WS.org 2023</style></publisher><pub-location><style face="normal" font="default" size="100%">Hangzhou, China</style></pub-location><pages><style face="normal" font="default" size="100%">pp. 28-32</style></pages><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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aaron Eberhart</style></author><author><style face="normal" font="default" size="100%">Cogan M Shimizu</style></author><author><style face="normal" font="default" size="100%">Sulogna Chowdhury</style></author><author><style face="normal" font="default" size="100%">Md Kamruzzaman Sarker</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Expressibility of OWL Axioms with Patterns</style></title><secondary-title><style face="normal" font="default" size="100%">The Semantic Web – 18th International Conference, ESWC 2021</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><pages><style face="normal" font="default" size="100%">230-245</style></pages><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>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Aaron Eberhart</style></author><author><style face="normal" font="default" size="100%">Cogan Shimizu</style></author><author><style face="normal" font="default" size="100%">Sulogna Chowdhury</style></author><author><style face="normal" font="default" size="100%">Md Kamruzzaman Sarker</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Expressibility of OWL Axioms with Patterns</style></title><secondary-title><style face="normal" font="default" size="100%">ESWC 2021</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2021</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The high expressivity of the Web Ontology Language (OWL) makes it possible to describe complex relationships between classes, roles, and individuals in an ontology. However, this high expressivity can be an obstacle to correct usage and wide adoption. Past attempts to ameliorate this have included the development of specific, presumably human-friendly syntaxes, such as the Manchester syntax or graphical interfaces for OWL axioms, albeit with limited success. If modelers want to develop suitable OWL axioms it is important to make this as easy as possible. In this paper, we adopt an idea from the Protégé plug-in, OWLAx, which provides a simple, clickable interface to automatically input axioms of a limited number of types by following simple axiom patterns. In particular, each of these axiom patterns contains at most three classes or roles. We hypothesize that most of the axioms in existing ontologies could be expressed semantically in terms of simple patterns like these, which would mean that more complex patterns can be used very sparingly. Our findings, based on an analysis of 518 ontologies from six public ontology repositories, confirm this hypothesis: Over 90% of class axioms in the average ontology are indeed expressible with our simple patterns. We provide a detailed analysis of our findings.&lt;/p&gt;
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