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Deducing Qualitative Capabilities with Generic Ontology Design Patterns

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Book cover Robot 2019: Fourth Iberian Robotics Conference (ROBOT 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1092))

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Abstract

Generic Ontology Design Patterns, GODPs, encapsulate design details, hiding the complexity of modeling. As a separation of concerns, they are to be developed by ontology experts, while their safe (re-)use is entrusted to domain experts, who may focus on appropriate instantiations; these effectively document the design decisions. The deployment to the domain of robotics is demonstrated by simple GODPs for adding new objects, relating them consistently to a given ontology. Advanced GODPs show how semantic device properties such as qualitative capabilities can be deduced from quantitative data in a general way.

This work has been partially supported by the German Research Foundation, DFG, as part of the Collaborative Research Center 1320 “EASE - Everyday Activity Science and Engineering” (http://www.ease-crc.org), and the EU project CrowdHEALTH (https://www.crowdhealth.eu).

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Notes

  1. 1.

    The complete set of this paper’s examples can be found under https://ontohub.org/robot2019.

  2. 2.

    Beyond the scope of this paper: GODPs should be well documented, including at least information along the lines of ontologydesignpatterns.org, also relating GODPs to each other.

  3. 3.

    We envisage a tool that generates such comments for arguments in instantiation templates.

  4. 4.

    The language definition is available at www.w3.org/Submission/SWRL/.

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Acknowledgments

We are grateful to Till Mossakowski for his continuous cooperation in the development of Generic DOL, and Sebastian Bartsch, Daniel Bessler, José de Gea Fernandez, and Mihai Pomarlan for their advice and suggestions regarding robotics.

Author information

Authors and Affiliations

  1. Collaborative Research Center EASE, University of Bremen, Bremen, Germany

    Bernd Krieg-Brückner & Mihai Codescu

  2. Bremen Ambient Assisted Living Lab, German Research Center for Artificial Intelligence, Bremen, Germany

    Bernd Krieg-Brückner

Authors
  1. Bernd Krieg-Brückner
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  2. Mihai Codescu
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Corresponding author

Correspondence to Bernd Krieg-Brückner .

Editor information

Editors and Affiliations

  1. School of Engineering, Polytechnic Institute of Porto, Porto, Portugal

    Manuel F. Silva

  2. Department of Electrical Engineering, Polytechnic Institute of Bragança, Bragança, Portugal

    José Luís Lima

  3. Faculty of Engineering, University of Porto, Porto, Portugal

    Luís Paulo Reis

  4. UPC, Universitat Politècnica de Catalunya, Barcelona, Spain

    Alberto Sanfeliu

  5. Centro Universitario de la Defensa (CUD), Zaragoza, Spain

    Danilo Tardioli

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Krieg-Brückner, B., Codescu, M. (2020). Deducing Qualitative Capabilities with Generic Ontology Design Patterns. In: Silva, M., Luís Lima, J., Reis, L., Sanfeliu, A., Tardioli, D. (eds) Robot 2019: Fourth Iberian Robotics Conference. ROBOT 2019. Advances in Intelligent Systems and Computing, vol 1092. Springer, Cham. https://doi.org/10.1007/978-3-030-35990-4_32

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