Developing and Maintaining an Ontology for Rehabilitation Robotics. Dogmus, Z., Gezici, G., Erdem, E., & Patoglu, V. In Proc. of the 4'th International Conference on Knowledge Engineering and Ontology Development (KEOD 2012), 2012. To appear
abstract   bibtex   
Representing the available information about rehabilitation robots in a structured form, like ontologies, facilitates access to various kinds of information about the existing robots, and thus it is important both from the point of view of rehabilitation robotics and from the point of view of physical medicine. Rehabilitation robotics researchers can learn various properties of the existing robots and access to the related publications to further improve the state-of-the-art. Physical medicine experts can find information about rehabilitation robots and related publications (possibly including results of clinical studies) to better identify the right robot for a particular therapy or patient population. Therefore, considering also the advantages of ontologies and ontological reasoning, such as interoperability of various heterogenous knowledge resources (e.g., patient databases or disease ontologies), such an ontology provides the underlying mechanisms for translational physical medicine, from bench-to-bed and back, and personalized rehabilitation robotics. With these motivations, we have designed and developed the first formal rehabilitation robotics ontology, called REHABROBO-ONTO, in OWL, collaborating with experts in robotics and in physical medicine. We have also built a software (called REHABROBO-QUERY) with an easy-to-use intelligent user-interface that allows robot designers to add/modify information about their rehabilitation robots to/from REHABROBO-ONTO.
@inproceedings{keod12,
 author = {Zeynep Dogmus and Gizem Gezici and Esra Erdem and Volkan Patoglu},
 title = {Developing and Maintaining an Ontology for Rehabilitation Robotics},
 booktitle = {Proc. of the 4'th International Conference on Knowledge Engineering and Ontology Development (KEOD 2012)},
 year = {2012},
 note = {To appear},
 abstract = {Representing the available information about
rehabilitation robots in a structured form, like ontologies,
facilitates access to various kinds of information about the
existing robots, and thus it is important both from the point of
view of rehabilitation robotics and from the point of view of
physical medicine. Rehabilitation robotics researchers can learn
various properties of the existing robots and access to the related
publications to further improve the state-of-the-art. Physical
medicine experts can find information about rehabilitation robots
and related publications (possibly including results of clinical
studies) to better identify the right robot for a particular therapy
or patient population. Therefore, considering also the advantages of
ontologies and ontological reasoning, such as interoperability of
various heterogenous knowledge resources (e.g., patient databases or
disease ontologies), such an ontology provides the underlying
mechanisms for translational physical medicine, from bench-to-bed
and back, and personalized rehabilitation robotics. With these
motivations, we have designed and developed the first formal
rehabilitation robotics ontology, called REHABROBO-ONTO, in OWL,
collaborating with experts in robotics and in physical medicine. We
have also built a software (called REHABROBO-QUERY) with an
easy-to-use intelligent user-interface that allows robot designers
to add/modify information about their rehabilitation robots to/from
REHABROBO-ONTO.}
}

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