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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 robot designs, while also guiding practitioners to make more informed decisions on technology based rehabilitation.

Answering Natural Language Queries about Rehabilitation Robotics Ontology on the Cloud