@inproceedings{robot2019,
    series = {Advances in Intelligent Systems and Computing, AISC},
    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.},
    number = {1092},
    year = {2020},
    title = {{Deducing Qualitative Capabilities with Generic Ontology Design Patterns}},
    booktitle = {Robot 2019: Fourth Iberian Robotics Conference.  Advances in Robotics, Volume 1.},
    editor = {Manuel F. Silva and Jos?Lu? Lima and Lu? Paulo Reis and Alberto Sanfeliu and Danilo Tardioli},
    lastupdate = {2019-11-28 20:20:21},
    pages = {391-403},
    isbn = {978-3-030-35989-8},
    publisher = {Springer Nature Switzerland AG, Cham},
    doi = {https://doi.org/10.1007/978-3-030-35990-4_32},
    author = {Bernd Krieg-Br{\"u}ckner and Mihai Codescu},
    keywords = {Generic Ontology Design Patterns ? Safe reuse ? Graded relations ? Qualitative capabilities ? Device properties},
    organization = {Faculty of Engineering, University of Porto},
    url = {https://doi.org/10.1007/978-3-030-35990-4_32},
keywords= {easecrc_cognitive_capabilities},
}