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
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;
Conference_Titel :
TENCON 2014 - 2014 IEEE Region 10 Conference
Conference_Location :
Bangkok
Print_ISBN :
978-1-4799-4076-9
DOI :
10.1109/TENCON.2014.7022364