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A Domain Ontology for Task Instructions

  • Aaron Eberhart
  • , Cogan Shimizu
  • , Christopher Stevens
  • , Pascal Hitzler
  • , Christopher W. Myers
  • , Benji Maruyama

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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.
Original languageEnglish
Title of host publicationKnowledge Graphs and Semantic Web - Second Iberoamerican Conference and First Indo-American Conference, KGSWC 2020, Proceedings
EditorsBoris Villazón-Terrazas, Fernando Ortiz-Rodríguez, Sanju M. Tiwari, Shishir K. Shandilya
PublisherSpringer Science and Business Media Deutschland GmbH
Pages1-13
Number of pages13
ISBN (Print)9783030653835
DOIs
StatePublished - 2020
Externally publishedYes
Event2nd Iberoamerican Conference, jointly with the 1st Indo-American Knowledge Graphs and Semantic Web Conference, KGSWC 2020 - Merida, Mexico
Duration: Nov 26 2020Nov 27 2020

Publication series

NameCommunications in Computer and Information Science
Volume1232
ISSN (Print)1865-0929
ISSN (Electronic)1865-0937

Conference

Conference2nd Iberoamerican Conference, jointly with the 1st Indo-American Knowledge Graphs and Semantic Web Conference, KGSWC 2020
Country/TerritoryMexico
CityMerida
Period11/26/2011/27/20

ASJC Scopus Subject Areas

  • General Computer Science
  • General Mathematics

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