Sentaur: Sensor Observable Data Model for Smart Spaces

Peeyush Gupta; Sharad Mehrotra; Shantanu Sharma; Roberto Yus; Nalini Venkatasubramanian

doi:10.1145/3511808.3557147

Sentaur: Sensor Observable Data Model for Smart Spaces

Peeyush Gupta, Sharad Mehrotra, Shantanu Sharma, Roberto Yus, Nalini Venkatasubramanian

Computer Science

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

Abstract

This paper presents Sentaur, a middleware designed, built, and deployed to support sensor-based smart space analytical applications. Sentaur supports a powerful data model that decouples semantic data (about the application domain) from sensor data (using which the semantic data is derived). By supporting mechanisms to map/translate data, concepts, and queries between the two levels, Sentaur relieves application developers from having to know or reason about either capabilities of sensors or write sensor specific code. This paper describes Sentaur's data model, its translation strategy, and highlights its benefits through real-world case studies.

Original language	English (US)
Title of host publication	CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management
Publisher	Association for Computing Machinery
Pages	3131-3140
Number of pages	10
ISBN (Electronic)	9781450392365
DOIs	https://doi.org/10.1145/3511808.3557147
State	Published - Oct 17 2022
Event	31st ACM International Conference on Information and Knowledge Management, CIKM 2022 - Atlanta, United States Duration: Oct 17 2022 → Oct 21 2022

Publication series

Name	International Conference on Information and Knowledge Management, Proceedings

Conference

Conference	31st ACM International Conference on Information and Knowledge Management, CIKM 2022
Country/Territory	United States
City	Atlanta
Period	10/17/22 → 10/21/22

All Science Journal Classification (ASJC) codes

General Business, Management and Accounting
General Decision Sciences

Keywords

IoT
data model
emerging applications
semantic abstraction

Access to Document

10.1145/3511808.3557147

Cite this

Gupta, P., Mehrotra, S., Sharma, S., Yus, R., & Venkatasubramanian, N. (2022). Sentaur: Sensor Observable Data Model for Smart Spaces. In CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management (pp. 3131-3140). (International Conference on Information and Knowledge Management, Proceedings). Association for Computing Machinery. https://doi.org/10.1145/3511808.3557147

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title = "Sentaur: Sensor Observable Data Model for Smart Spaces",

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author = "Peeyush Gupta and Sharad Mehrotra and Shantanu Sharma and Roberto Yus and Nalini Venkatasubramanian",

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Gupta, P, Mehrotra, S, Sharma, S, Yus, R & Venkatasubramanian, N 2022, Sentaur: Sensor Observable Data Model for Smart Spaces. in CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. International Conference on Information and Knowledge Management, Proceedings, Association for Computing Machinery, pp. 3131-3140, 31st ACM International Conference on Information and Knowledge Management, CIKM 2022, Atlanta, United States, 10/17/22. https://doi.org/10.1145/3511808.3557147

Sentaur: Sensor Observable Data Model for Smart Spaces. / Gupta, Peeyush; Mehrotra, Sharad; Sharma, Shantanu et al.
CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery, 2022. p. 3131-3140 (International Conference on Information and Knowledge Management, Proceedings).

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

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AU - Gupta, Peeyush

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AB - This paper presents Sentaur, a middleware designed, built, and deployed to support sensor-based smart space analytical applications. Sentaur supports a powerful data model that decouples semantic data (about the application domain) from sensor data (using which the semantic data is derived). By supporting mechanisms to map/translate data, concepts, and queries between the two levels, Sentaur relieves application developers from having to know or reason about either capabilities of sensors or write sensor specific code. This paper describes Sentaur's data model, its translation strategy, and highlights its benefits through real-world case studies.

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Gupta P, Mehrotra S, Sharma S, Yus R, Venkatasubramanian N. Sentaur: Sensor Observable Data Model for Smart Spaces. In CIKM 2022 - Proceedings of the 31st ACM International Conference on Information and Knowledge Management. Association for Computing Machinery. 2022. p. 3131-3140. (International Conference on Information and Knowledge Management, Proceedings). doi: 10.1145/3511808.3557147

Sentaur: Sensor Observable Data Model for Smart Spaces

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All Science Journal Classification (ASJC) codes

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