Rehabrobo-query: answering natural language queries about rehabilitation robotics ontology on the cloud

Doğmuş, Zeynep and Erdem, Esra and Patoğlu, Volkan (2019) Rehabrobo-query: answering natural language queries about rehabilitation robotics ontology on the cloud. Semantic Web (SI), 10 (3). pp. 605-629. ISSN 1570-0844 (Print) 2210-4968 (Online)

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Abstract

We introduce a novel method to answer natural language queries about rehabilitation robotics, over the formal ontology REHABROBO-ONTO. For that, (i) we design and develop a novel controlled natural language for rehabilitation robotics, called REHABROBO-CNL; (ii) we introduce translations of queries in REHABRoso-CNI, into SPARQL queries, utilizing a novel concept of query description trees; (iii) we use an automated reasoner to find answers to SPARQL queries. To facilitate the use of our method by experts, we develop an intelligent, interactive query answering system, called REHABROBO-QUERY, using Semantic Web technologies, and make it available on the cloud via Amazon web services. REHABROBO-QUERY 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 REHABROBO-ONTO 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.
Item Type: Article
Uncontrolled Keywords: Ontology systems; query answering; rehabilitation robotics; intelligent user-interfaces; controlled natural languages
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Mechatronics
Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Esra Erdem
Date Deposited: 26 Aug 2019 22:39
Last Modified: 13 Jun 2023 15:08
URI: https://research.sabanciuniv.edu/id/eprint/38121

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