Deducing Qualitative Capabilities with Generic Ontology Design Patterns

Bernd Krieg-Brückner, Mihai Codescu

In: Manuel F Silva, José Luís Lima, Luís Paulo Reis, Alberto Sanfeliu, Danilo Tardioli (Hrsg.). Robot 2019: Fourth Iberian Robotics Conference. Iberian Robotics Conference (ROBOT-2019) Fourth Iberian Robotics Conference, Advances in Robotics, Volume 1 November 20-22 Porto Portugal Seiten 391-403 Advances in Intelligent Systems and Computing (AISC) 1092 ISBN 978-3-030-35989-8 Springer Nature Switzerland AG Cham 2020.


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.


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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence