Authors:
Zeynep Dogmus
;
Volkan Patoglu
and
Esra Erdem
Affiliation:
Sabanci University, Turkey
Keyword(s):
Rehabilitation Robotics, Query Answering, Natural Language, Ontologies.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Case-studies
;
Artificial Intelligence
;
Collaboration and e-Services
;
e-Business
;
Enterprise Information Systems
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Pattern Recognition
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
We introduce a novel method to answer natural language
queries about rehabilitation robotics, over the formal ontology
\rehabo. For that, 1) we design and develop a novel controlled
natural language for rehabilitation robotics, called \rehabcnl; 2)
we introduce translations of queries in \rehabcnl\ into \sparql\
queries, utilizing a novel concept of query description trees and
description logics concepts; 3) we use an automated reasoner to find
an answer to the \sparql\ query. To facilitate the use of our method
by experts, we develop an intelligent, interactive query answering
system, using Semantic Web technologies, and make it available on
the cloud via Amazon web services. This interface guides the users
to express their queries in natural language and displays the
answers to queries in a readable format, possibly with links to
detailed information. Easy access to information on \rehabo\ through
complex queries in natural language may help engineers inspire new
rehabilitation rob
ot designs, while also guiding practitioners to
make more informed decisions on technology based rehabilitation.
(More)