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

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

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
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 - 17 Oct 2022
Externally published	Yes
Event	31st ACM International Conference on Information and Knowledge Management, CIKM 2022 - Atlanta, United States Duration: 17 Oct 2022 → 21 Oct 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	17/10/22 → 21/10/22

Keywords

data model
emerging applications
IoT
semantic abstraction

ASJC Scopus subject areas

General Business, Management and Accounting
General Decision Sciences

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",

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.",

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

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doi = "10.1145/3511808.3557147",

language = "English",

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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, 17/10/22. 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 › peer-review

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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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Conference

Keywords

ASJC Scopus subject areas

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