<?xml version="1.0" encoding="UTF-8"?><xml><records><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%">Cogan Shimizu</style></author><author><style face="normal" font="default" size="100%">Aaron Eberhart</style></author><author><style face="normal" font="default" size="100%">Nazifa Karima</style></author><author><style face="normal" font="default" size="100%">Quinn Hirt</style></author><author><style face="normal" font="default" size="100%">Adila Krisnadhi</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%">A Method for Automatically Generating Schema Diagrams for OWL Ontologies</style></title><secondary-title><style face="normal" font="default" size="100%">1st Iberoamerican Knowledge Graph and Semantic Web Conference (KGSWC)</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">design patterns</style></keyword><keyword><style  face="normal" font="default" size="100%">evaluation</style></keyword><keyword><style  face="normal" font="default" size="100%">implementation</style></keyword><keyword><style  face="normal" font="default" size="100%">ontology</style></keyword><keyword><style  face="normal" font="default" size="100%">schema diagrams</style></keyword><keyword><style  face="normal" font="default" size="100%">visualization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">06/2019</style></date></pub-dates></dates><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Villa Clara, Cuba</style></pub-location><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;Interest in Semantic Web technologies, including knowledge graphs and ontologies, is increasing rapidly in industry and academics. In order to support ontology engineers and domain experts, it is necessary to provide them with robust tools that facilitate the ontology engineering process. Often, the schema diagram of an ontology is the most important tool for quickly conveying the overall purpose of an ontology. In this paper, we present a method for programmatically generating a schema diagram from an OWL file. We evaluate its ability to generate schema diagrams similar to manually drawn schema diagrams and show that it outperforms VOWL and OWLGrEd. In addition, we provide a prototype implementation of this tool.&lt;/p&gt;
</style></abstract><section><style face="normal" font="default" size="100%">149-161</style></section></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%">Michelle Cheatham</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%">Pseudo-Random ALC Syntax Generation</style></title><secondary-title><style face="normal" font="default" size="100%">The Semantic Web: ESWC 2018 Satellite Events - ESWC 2018 Satellite Events, Heraklion, Crete, Greece, June 3-7, 2018, Revised Selected Papers</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">ALC</style></keyword><keyword><style  face="normal" font="default" size="100%">Description Logic</style></keyword><keyword><style  face="normal" font="default" size="100%">DL</style></keyword><keyword><style  face="normal" font="default" size="100%">random generation</style></keyword><keyword><style  face="normal" font="default" size="100%">synthetic data</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2018</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.1007/978-3-319-98192-5\_4</style></url></web-urls></urls><publisher><style face="normal" font="default" size="100%">Springer</style></publisher><pub-location><style face="normal" font="default" size="100%">Heraklion, Crete, Greece</style></pub-location><volume><style face="normal" font="default" size="100%">11155</style></volume><pages><style face="normal" font="default" size="100%">19–22</style></pages><isbn><style face="normal" font="default" size="100%">978-3-319-98191-8</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">We discuss a tool capable of rapidly generating pseudo-random syntactically valid ALC expression trees. The program is meant to allow a researcher to create large sets of independently valid expressions with a minimum of personal bias for experimentation.</style></abstract></record></records></xml>