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

fYear

2014

fDate

10-12 Sept. 2014

Firstpage

175

Lastpage

180

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/NGMAST.2014.31

Filename

6982912