Authors:
Zeynep Dogmus
;
Gizem Gezici
;
Volkan Patoglu
and
Esra Erdem
Affiliation:
Sabanci University, Turkey
Keyword(s):
Rehabilitation Robotics, Ontology Development.
Related
Ontology
Subjects/Areas/Topics:
Applications and Case-studies
;
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
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
medi
cine, 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.
(More)