Portable Queries Using the Brick Schema for Building Applications

Bharathan Balaji, Arka Bhattacharya, Gabe Fierro, Jingkun Gao, Joshua Gluck, Dezhi Hong, Aslak Johansen, Jason Koh, Joern Ploennigs, Yuvraj Agarwal, Mario Berges, David Culler, Rajesh Gupta, Mikkel Baun Kjærgaard, Mani Srivastava, Kamin Whitehouse

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Sensorized commercial buildings are a rich target for building a new class of applications that improve operational and energy efficiency of building operations that take into account human activities. Such applications, however, rarely experience widespread adoption due to the lack of a common descriptive schema that would enable porting these applications and systems to different buildings. Our demo presents Brick [4], a uniform schema for representing metadata in buildings. Our schema defines a concrete ontology for sensors, subsystems and relationships among them, which enables portable applications. Using a web application, we will demonstrate real buildings that have been mapped to the Brick schema, and show application queries that extracts relevant metadata from these buildings. The attendees would be able to create example buildings and write their own queries.
Original languageEnglish (US)
Title of host publicationProceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments
PublisherACM
Pages219-220
Number of pages2
ISBN (Print)9781450342643
DOIs
StatePublished - Nov 16 2016
Externally publishedYes

Bibliographical note

KAUST Repository Item: Exported on 2021-03-29
Acknowledged KAUST grant number(s): OSR-2015-Sensors-2707
Acknowledgements: Our work is supported by the following grants - National Science Foundation grants: CPS-1239552, NSF-1636879, IIS-1636916, CSR-1526237, CNS-1526841, NSF-1305362; U.S. Department of Energy grant: DE-EE0006353; King Abdullah University of Science and Technology award: Sensor Innovation Award #OSR-2015-Sensors-2707; Innovation Fund Denmark award: COORDICY(4106-00003B); EU H2020 grant: TOPAs (676760); and support from Intel.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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