TY - GEN
T1 - Ontology-based semantic modeling and evaluation for internet of things applications
AU - Ma, Meng
AU - Wang, Ping
AU - Chu, Chao Hsien
PY - 2014/3/12
Y1 - 2014/3/12
N2 - Internet of Things (IoT) is a major paradigm shift from traditional Internet applications that connects things / objects to the Internet for automatic sensing, information processing, understanding, reasoning, decision and response to virtual and physical world. Due to its highly distributed and heterogeneous characteristics, it requires more semantic interactions between different scenarios. Therefore, interoperability is one of the most fundamental requirements for IoT systems. Currently, semantic modeling for IoT applications has significant deficiency in its reusability and interoperability. In this paper, we propose a semantic information model for IoT applications, named OntoIoT. This model has a two-level architecture including a set of general upper ontology and flexible interfaces for different application domain ontology extensions. We have preliminarily implemented the OntoIoT framework and domain extension in selected scenarios of smart space and healthcare. A data-driven and other ontology evaluation approaches are used to prove the scalability and interoperability of OntoIoT. Result demonstrates that, compared to other test ontologies, Onto IoT is more suitable for the given application scenario.
AB - Internet of Things (IoT) is a major paradigm shift from traditional Internet applications that connects things / objects to the Internet for automatic sensing, information processing, understanding, reasoning, decision and response to virtual and physical world. Due to its highly distributed and heterogeneous characteristics, it requires more semantic interactions between different scenarios. Therefore, interoperability is one of the most fundamental requirements for IoT systems. Currently, semantic modeling for IoT applications has significant deficiency in its reusability and interoperability. In this paper, we propose a semantic information model for IoT applications, named OntoIoT. This model has a two-level architecture including a set of general upper ontology and flexible interfaces for different application domain ontology extensions. We have preliminarily implemented the OntoIoT framework and domain extension in selected scenarios of smart space and healthcare. A data-driven and other ontology evaluation approaches are used to prove the scalability and interoperability of OntoIoT. Result demonstrates that, compared to other test ontologies, Onto IoT is more suitable for the given application scenario.
UR - http://www.scopus.com/inward/record.url?scp=84946693639&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84946693639&partnerID=8YFLogxK
U2 - 10.1109/iThings.2014.13
DO - 10.1109/iThings.2014.13
M3 - Conference contribution
AN - SCOPUS:84946693639
T3 - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014
SP - 24
EP - 30
BT - Proceedings - 2014 IEEE International Conference on Internet of Things, iThings 2014, 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014 and 2014 IEEE International Conference on Cyber-Physical-Social Computing, CPS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Internet of Things, iThings 2014, Collocated with 2014 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2014 and 2014 IEEE International Conference on Green Computing and Communications, GreenCom 2014
Y2 - 1 September 2014 through 3 September 2014
ER -