Ontological query answering about rehabilitation robotics
Zeynep Doğmuş, Volkan Patoğlu, Esra Erdem · Sabanci University · 2014
We introduce a novel method to answer natural language queries about rehabilitation robotics, over the formal ontology REHABROBO-ONTO. As part of our method, 1) we design and develop a novel controlled natural language for rehabilitation robotics, called REHABROBO-CNL; 2) we introduce translations of queries in REHABROBO-CNL into SPARQL queries, utilizing a novel concept of query description trees; 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, and make it available on the cloud.