Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases

Wonwoo Ro; Giyong Park; Sejin Chun; Kyong Ho Lee

doi:10.1109/IRI.2015.29

Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases

Wonwoo Ro, Giyong Park, Sejin Chun, Kyong Ho Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Citations (Scopus)

Abstract

Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.

Original language	English
Title of host publication	Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	126-133
Number of pages	8
ISBN (Electronic)	9781467366564
DOIs	https://doi.org/10.1109/IRI.2015.29
Publication status	Published - 2015 Oct 19
Event	16th IEEE International Conference on Information Reuse and Integration, IRI 2015 - San Francisco, United States Duration: 2015 Aug 13 → 2015 Aug 15

Publication series

Name	Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015

Other

Other	16th IEEE International Conference on Information Reuse and Integration, IRI 2015
Country/Territory	United States
City	San Francisco
Period	15/8/13 → 15/8/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Information Systems
Information Systems and Management
Electrical and Electronic Engineering

Access to Document

10.1109/IRI.2015.29

Cite this

Ro, W., Park, G., Chun, S., & Lee, K. H. (2015). Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases. In Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015 (pp. 126-133). [7300965] (Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRI.2015.29

Ro, Wonwoo ; Park, Giyong ; Chun, Sejin et al. / Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases. Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 126-133 (Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015).

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abstract = "Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.",

author = "Wonwoo Ro and Giyong Park and Sejin Chun and Lee, {Kyong Ho}",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 16th IEEE International Conference on Information Reuse and Integration, IRI 2015 ; Conference date: 13-08-2015 Through 15-08-2015",

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Ro, W, Park, G, Chun, S & Lee, KH 2015, Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases. in Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015., 7300965, Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015, Institute of Electrical and Electronics Engineers Inc., pp. 126-133, 16th IEEE International Conference on Information Reuse and Integration, IRI 2015, San Francisco, United States, 15/8/13. https://doi.org/10.1109/IRI.2015.29

Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases. / Ro, Wonwoo; Park, Giyong; Chun, Sejin et al.

Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 126-133 7300965 (Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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T1 - Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases

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N2 - Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.

AB - Devices, objects, and sensors are getting to connect with one another in the Internet of Things (IoT). Although there are existing models for representing sensors, there is lack of methods of integrating sensor data with domain knowledge to construct complex sensors. Semantic models for complex sensor mashups are required. In this paper, we present a complex sensor model that enables us to combine various existing sensors and formula-based knowledge. We also propose a method of composing a virtual complex sensor based on the influence of its constituent sensors. Last of all, we develop a complex sensor mashup tool based on the proposed complex sensor model and mashup method.

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M3 - Conference contribution

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BT - Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015

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Ro W, Park G, Chun S, Lee KH. Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases. In Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 126-133. 7300965. (Proceedings - 2015 IEEE 16th International Conference on Information Reuse and Integration, IRI 2015). doi: 10.1109/IRI.2015.29

Complex Sensor Mashups for Linking Sensors and Formula-Based Knowledge Bases

Abstract

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All Science Journal Classification (ASJC) codes

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