DocumentCode :
130813
Title :
A multi-dimensional ontology-based IoT resource model
Author :
Huijuan Zhang ; Chao Meng
Author_Institution :
Sch. of Software Eng., Tongji Univ., Shanghai, China
fYear :
2014
fDate :
27-29 June 2014
Firstpage :
124
Lastpage :
127
Abstract :
Nowadays researches related to resource management and representation of IoT (Internet of Things) emphasize on making identify regulation or describing device working principle. However they could not represent dynamic feature and multi-dimensional feature of interaction. This paper propose a multi-dimensional ontology-based IoT resource model to solve above defects. For resource management, searching and reasoning, this model divides resource into 4 key concepts: general situation, variable feature, function and enforce. Then this paper classify resource into 5 dimensions. Experimental result shows that when IoT resource contains time feature, location feature and priority feature, resource model works well to accomplish management and searching task. In addition, this model lays a foundation for service model, which is in upper layer of resource model.
Keywords :
Internet of Things; ontologies (artificial intelligence); resource allocation; ubiquitous computing; Internet of Things; device working principle; dynamic interaction feature; enforce concept; function concept; general situation concept; location feature; multidimensional interaction feature; multidimensional ontology-based IoT resource model; priority feature; reasoning; resource management; resource representation; resource searching; time feature; variable feature concept; Cognition; Computational modeling; Context; Dynamic scheduling; Internet of Things; Ontologies; Sensors; IoT; Multi-dimensional Ontology; Resource Description; Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
Conference_Location :
Beijing
ISSN :
2327-0586
Print_ISBN :
978-1-4799-3278-8
Type :
conf
DOI :
10.1109/ICSESS.2014.6933527
Filename :
6933527
Link To Document :
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