Title :
A Formal Ontology Alignment for CANthings (Context Aware Network for the Connected Things)
Author :
Davoudpour, Maryam ; Masoumi, Arman ; Sadeghian, Alireza ; Rahnama, Hossein
Author_Institution :
Flybits Toronto, Toronto, ON, Canada
Abstract :
The smart technological advances in particular those related to the connected mobile devices play an elite role in today\´s smart world. In this paper, we introduce a novel Internet of Things (IoT) framework, "CAN things" (Context-Aware Networks for the Design of Connected Things) to identify IoT needs. CAN things proposes to use ontologies for standardizing data from heterogeneous objects. This paper presents a merging methodology for OWL ontologies, in order to make possible using various existing ontologies for CAN things\´ master ontology. Our goal is to make the presented framework a standard framework that can be used in high level research and industry projects.
Keywords :
mobile radio; ontologies (artificial intelligence); ubiquitous computing; CAN things; Internet of Things; IoT framework; OWL ontologies; connected mobile devices; context aware network for the connected things; formal ontology alignment; heterogeneous objects; Conferences; Internet of Things; Interoperability; Merging; Ontologies; Semantics; Standards; Context-aware; Internet of Things (IoT); Interoperability; Ontology; Semantic Similarities;
Conference_Titel :
Next Generation Mobile Apps, Services and Technologies (NGMAST), 2014 Eighth International Conference on
Conference_Location :
Oxford
Print_ISBN :
978-1-4799-5072-0
DOI :
10.1109/NGMAST.2014.31
