DocumentCode
243063
Title
GOMs: Generic ontology models to process context information in IoT environment
Author
Na-Ri Yang ; Hoan-Suk Choi ; Jun-Young Lee ; Yong-Jin Kim ; Woo-Seop Rhee
Author_Institution
Dept. of Multimedia Eng., Hanbat Nat. Univ., Daejeon, South Korea
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
1
Lastpage
6
Abstract
Context information processing is important to provide the Internet of Things (IoT) services. To do this, we use the ontology that is one of semantic technologies. In this paper, we design the ontology to process context information and provide context service. So, we propose the Generic Ontology Models (GOMs) for context service. Moreover, through the intelligent alarm service as the use case, we show that the proposed GOMs are able to provide the IoT service well.
Keywords
Internet of Things; ontologies (artificial intelligence); GOM; Internet of Things; IoT environment; context information processing; generic ontology model; intelligent alarm service; semantic technology; Actuators; Context; Intelligent sensors; Ontologies; Smart phones; TV; Context service; Internet of Things; Ontology design;
fLanguage
English
Publisher
ieee
Conference_Titel
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location
Bangkok
ISSN
2159-3442
Print_ISBN
978-1-4799-4076-9
Type
conf
DOI
10.1109/TENCON.2014.7022364
Filename
7022364
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