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A Domain Ontology for Task Instructions

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Knowledge Graphs and Semantic Web (KGSWC 2020)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1232))

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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.

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Notes

  1. 1.

    A schema diagram is an informal, but intuitive way for conveying information about the structure and contents of an ontology. We use a consistent visual syntax for convenience, detailed in Fig. 2.

  2. 2.

    See https://raw.githubusercontent.com/undiffagents/uagent/develop/ontology/uagent.owl.

  3. 3.

    See https://daselab.cs.ksu.edu/content/domain-ontology-instruction.

  4. 4.

    [9] is a modular ontology design library; it contains a set of frequently used patterns and respective documentation.

  5. 5.

    For a deeper discussion on Descriptions, Situations, and Plans, see [4].

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Acknowledgement

This material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-18-1-0386.

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Authors and Affiliations

  1. DaSe Lab, Kansas State University, Manhattan, KS, USA

    Aaron Eberhart, Cogan Shimizu & Pascal Hitzler

  2. Air Force Research Laboratory, Wright-Patterson AFB, OH, USA

    Christopher Stevens & Christopher W. Myers

  3. Air Force Research Laboratory, Materials and Manufacturing Directorate, Wright-Patterson AFB, OH, USA

    Benji Maruyama

Authors
  1. Aaron Eberhart
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  2. Cogan Shimizu
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  3. Christopher Stevens
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  4. Pascal Hitzler
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  5. Christopher W. Myers
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  6. Benji Maruyama
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Corresponding author

Correspondence to Aaron Eberhart .

Editor information

Editors and Affiliations

  1. Tinámica, Madrid, Spain

    Boris Villazón-Terrazas

  2. Tamaulipas Autonomous University, Ciudad Victoria, Mexico

    Fernando Ortiz-Rodríguez

  3. Tamaulipas Autonomous University, Ciudad Victoria, Mexico

    Sanju M. Tiwari

  4. VIT Bhopal University, Bhopal, India

    Shishir K. Shandilya

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Eberhart, A., Shimizu, C., Stevens, C., Hitzler, P., Myers, C.W., Maruyama, B. (2020). A Domain Ontology for Task Instructions. In: Villazón-Terrazas, B., Ortiz-Rodríguez, F., Tiwari, S.M., Shandilya, S.K. (eds) Knowledge Graphs and Semantic Web. KGSWC 2020. Communications in Computer and Information Science, vol 1232. Springer, Cham. https://doi.org/10.1007/978-3-030-65384-2_1

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  • DOI: https://doi.org/10.1007/978-3-030-65384-2_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-65383-5

  • Online ISBN: 978-3-030-65384-2

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