TY - GEN
T1 - A semantic sensor mashup platform for Internet of Things
AU - Eom, Sungkwang
AU - Ro, Wonwoo
AU - Lee, Kyong Ho
N1 - Publisher Copyright:
© 2018 IEEE.
Copyright:
Copyright 2018 Elsevier B.V., All rights reserved.
PY - 2018/5/4
Y1 - 2018/5/4
N2 - With the rapid advancement of the Internet of Things (IoT), a number of sensors are constantly deployed and connected to the Web, generating a large amount of real-time streaming data. Such sensor streams may include contextual events, which indicate meaningful information on our environment. For this reason, Web applications which are developed for IoT should embrace sensor streams. Hence, there is a need for a sensor mashup tool to compose multiple sensors for effectively processing sensor streams. However, existing models for sensor mashup do not support complex events included in sensor streams. In this paper, we propose a virtual complex sensor (VCS) model that enables users to combine various existing sensors and formula-based knowledge. In addition, we propose a method of automatically generating multiple VCSs according to a user's configuration. We also provide a graphical user interface for building a VCS mashup and processing complex events. Experimental results on the proposed semantic sensor mashup show that the proposed approach is reasonable and applicable to various IoT application domains.
AB - With the rapid advancement of the Internet of Things (IoT), a number of sensors are constantly deployed and connected to the Web, generating a large amount of real-time streaming data. Such sensor streams may include contextual events, which indicate meaningful information on our environment. For this reason, Web applications which are developed for IoT should embrace sensor streams. Hence, there is a need for a sensor mashup tool to compose multiple sensors for effectively processing sensor streams. However, existing models for sensor mashup do not support complex events included in sensor streams. In this paper, we propose a virtual complex sensor (VCS) model that enables users to combine various existing sensors and formula-based knowledge. In addition, we propose a method of automatically generating multiple VCSs according to a user's configuration. We also provide a graphical user interface for building a VCS mashup and processing complex events. Experimental results on the proposed semantic sensor mashup show that the proposed approach is reasonable and applicable to various IoT application domains.
UR - http://www.scopus.com/inward/record.url?scp=85050407811&partnerID=8YFLogxK
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U2 - 10.1109/WF-IoT.2018.8355108
DO - 10.1109/WF-IoT.2018.8355108
M3 - Conference contribution
AN - SCOPUS:85050407811
T3 - IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
SP - 427
EP - 432
BT - IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE World Forum on Internet of Things, WF-IoT 2018
Y2 - 5 February 2018 through 8 February 2018
ER -