Abstract
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.
| Original language | English |
|---|---|
| Title of host publication | IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 427-432 |
| Number of pages | 6 |
| Volume | 2018-January |
| ISBN (Electronic) | 9781467399449 |
| DOIs | |
| Publication status | Published - 2018 May 4 |
| Event | 4th IEEE World Forum on Internet of Things, WF-IoT 2018 - Singapore, Singapore Duration: 2018 Feb 5 → 2018 Feb 8 |
Other
| Other | 4th IEEE World Forum on Internet of Things, WF-IoT 2018 |
|---|---|
| Country | Singapore |
| City | Singapore |
| Period | 18/2/5 → 18/2/8 |
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All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Information Systems and Management
- Safety, Risk, Reliability and Quality
Cite this
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A semantic sensor mashup platform for Internet of Things. / Eom, Sungkwang; Ro, Wonwoo; Lee, Kyong Ho.
IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings. Vol. 2018-January Institute of Electrical and Electronics Engineers Inc., 2018. p. 427-432.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - A semantic sensor mashup platform for Internet of Things
AU - Eom, Sungkwang
AU - Ro, Wonwoo
AU - Lee, Kyong Ho
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.
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U2 - 10.1109/WF-IoT.2018.8355108
DO - 10.1109/WF-IoT.2018.8355108
M3 - Conference contribution
VL - 2018-January
SP - 427
EP - 432
BT - IEEE World Forum on Internet of Things, WF-IoT 2018 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
ER -