Sentaur: Sensor Observable Data Model for Smart Spaces

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3511808.3557147.pdf (1.52 MB)

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https://dl.acm.org/doi/abs/10.1145/3511808.3557147

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https://doi.org/10.1145/3511808.3557147
 http://hdl.handle.net/11603/26289

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UMBC Computer Science and Electrical Engineering Department
UMBC Faculty Collection

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https://orcid.org/0000-0002-9311-954X

Date

2022-10-17

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conference papers and proceedings
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Citation of Original Publication

Gupta, Peevish et al. “Sentaur: Sensor Observable Data Model for Smart Spaces.” In Proceedings of the 31st ACM International Conference on Information & Knowledge Management (CIKM ’22) (17 October 2022): 3131–3140. https://doi.org/10.1145/3511808.3557147

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Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)

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UMBC Ebiquity Research Group

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