<?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%">Aaron Eberhart</style></author><author><style face="normal" font="default" size="100%">Cogan Shimizu</style></author><author><style face="normal" font="default" size="100%">Christopher Stevens</style></author><author><style face="normal" font="default" size="100%">Pascal Hitzler</style></author><author><style face="normal" font="default" size="100%">Christopher W. Myers</style></author><author><style face="normal" font="default" size="100%">Benji Maruyam</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">A Domain Ontology for Task Instructions</style></title><secondary-title><style face="normal" font="default" size="100%">KGSWC</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%"> Knowledge graphs and ontologies represent information in a variety of different applications. One use case, the Intelligence, Surveillance, &amp; Reconnaissance: Mutli-Attribute Task Battery (ISR-MATB), comes from Cognitive Science, where researchers use interdisciplinary methods to understand the mind and cognition. The ISR-MATB is a set of tasks that a cognitive or human agent perform which test visual, 
 auditory, and memory capabilities. An ontology can represent a cognitive agent’s background knowledge of the task it was instructed to perform and act as an interchange format between different Cognitive Agent tasks similar to ISR-MATB. We present several modular patterns for representing ISR-MATB task instructions, as well as a unified diagram that links them together.</style></abstract></record><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>27</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Cogan Shimizu</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><author><style face="normal" font="default" size="100%">Quinn Hirt</style></author><author><style face="normal" font="default" size="100%">Christopher Stevens</style></author><author><style face="normal" font="default" size="100%">Christopher W. Myers</style></author><author><style face="normal" font="default" size="100%">Benji Maruyama</style></author><author><style face="normal" font="default" size="100%">Colin Kupitz</style></author><author><style face="normal" font="default" size="100%">Dario Salvucci</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">An Ontology of Instruction 1.0</style></title></titles><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>