Home // eTELEMED 2020, The Twelfth International Conference on eHealth, Telemedicine, and Social Medicine // View article
Authors:
Vasileios Kassiano
Thanos Stavropoulos
Spiros Nikolopoulos
Ioannis Kompatsiaris
Marina Riga
Keywords: ontology; rules; natural language; SPIN; deafblindness
Abstract:
This paper presents a rule-based approach towards spatial awareness for the deafblind through natural language constructs. The approach entails two components, a novel ontology for the interoperable representation of data pertaining the domain (objects, space. etc) and a rule set to derive the natural language constructs for spatial awareness and answer related user queries. The rule set is expressed in SPARQL Inferencing Notation (SPIN), which enables simplicity and flexibility in rule definition as opposed to other frameworks. Both are applied in a use case scenario of the SUITCEYES platform for the deafblind, extending it with the ability to answer spatial awareness queries. More specifically, the ontology component uses rules to provide the users of the platform answers to queries regarding their environment. We present those rules and show how they inform the user of their surroundings, using natural language. Furthermore, we provide a differential population solution to avoid overloading the ontology with unnecessary data.
Pages: 160 to 165
Copyright: Copyright (c) IARIA, 2020
Publication date: March 22, 2020
Published in: conference
ISSN: 2308-4359
ISBN: 978-1-61208-763-4
Location: Valencia, Spain
Dates: from November 21, 2020 to November 25, 2020