A Domain Ontology for Task Instructions
Document Type
Article
Publication Date
2020
Abstract
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.
Repository Citation
Eberhart, A.,
Shimizu, C.,
Stevens, C.,
Hitzler, P.,
Myers, C. W.,
& Maruyama, B.
(2020). A Domain Ontology for Task Instructions. Knowledge Graphs and Semantic Web - Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Proceedings, 1232.
https://corescholar.libraries.wright.edu/cse/741
DOI
10.1007/978-3-030-65384-2_1
