TY - GEN
T1 - A Domain Ontology for Task Instructions
AU - Eberhart, Aaron
AU - Shimizu, Cogan
AU - Stevens, Christopher
AU - Hitzler, Pascal
AU - Myers, Christopher W.
AU - Maruyama, Benji
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020
Y1 - 2020
N2 - Knowledge graphs and ontologies represent information in a variety of different applications. One use case, the Intelligence, Surveillance, & 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.
AB - Knowledge graphs and ontologies represent information in a variety of different applications. One use case, the Intelligence, Surveillance, & 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.
UR - https://corescholar.libraries.wright.edu/cse/741
UR - https://www.scopus.com/pages/publications/85098249263
UR - https://www.scopus.com/pages/publications/85098249263#tab=citedBy
U2 - 10.1007/978-3-030-65384-2_1
DO - 10.1007/978-3-030-65384-2_1
M3 - Conference contribution
AN - SCOPUS:85098249263
SN - 9783030653835
T3 - Communications in Computer and Information Science
SP - 1
EP - 13
BT - Knowledge Graphs and Semantic Web - Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Proceedings
A2 - Villazón-Terrazas, Boris
A2 - Ortiz-Rodríguez, Fernando
A2 - Tiwari, Sanju M.
A2 - Shandilya, Shishir K.
PB - Springer Science and Business Media Deutschland GmbH
T2 - 2nd Iberoamerican Conference, jointly with the 1st Indo-American Knowledge Graphs and Semantic Web Conference, KGSWC 2020
Y2 - 26 November 2020 through 27 November 2020
ER -