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A demonstration of Cascadia through a digital diary application
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International Conference on Management of Data archive
Proceedings of the 2008 ACM SIGMOD international conference on Management of data table of contents
Vancouver, Canada
DEMONSTRATION SESSION: Group 3 table of contents
Pages 1319-1322  
Year of Publication: 2008
ISBN:978-1-60558-102-6
Authors
Nodira Khoussainova  University of Washington, Seattle, WA, USA
Evan Welbourne  University of Washington, Seattle, WA, USA
Magdalena Balazinska  University of Washington, Seattle, WA, USA
Gaetano Borriello  University of Washington, Seattle, WA, USA
Garrett Cole  University of Washington, Seattle, WA, USA
Julie Letchner  University of Washington, Seattle, WA, USA
Yang Li  University of Washington, Seattle, WA, USA
Christopher Ré  University of Washington, Seattle, WA, USA
Dan Suciu  University of Washington, Seattle, WA, USA
Jordan Walke  University of Washington, Seattle, WA, USA
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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ABSTRACT

The Cascadia system provides RFID-based pervasive computing applications with an infrastructure for specifying, extracting and managing meaningful high-level events from raw RFID data. Cascadia allows application developers and even users to specify events of interest using either a declarative query language or a graphical interface with an intuitive visual language. Cascadia then effectively extracts these events from data in spite of the unreliability of RFID technology and the inherent ambiguity in event extraction.

We demonstrate Cascadia's technique through a digital diary application in the form of a calendar. Cascadia automatically populates the calendar with meaningful events for the user. We use data collected in a building-wide RFID deployment.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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C. Floerkemeier and M. Lampe. Issues with RFID usage in ubiquitous computing applications. In Proc. of the 2nd Pervasive Conf., Apr. 2004.
 
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S. Jeffery, G. Alonso, M. J. Franklin, W. Hong, and J. Widom. Declarative support for sensor data cleaning. In Proc. of the 4th Pervasive Conf., Mar. 2006.
 
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N. Khoussainova, M. Balazinska, and D. Suciu. Peex: Extracting probabilistic events from rfid data. Technical Report 2007-11-02, Department of Computer Science and Engineering, University of Washington, 2007.
 
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The RFID Ecosystem. http://rfid.cs.washington.edu/, 2007.
 
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Collaborative Colleagues:
Nodira Khoussainova: colleagues
Evan Welbourne: colleagues
Magdalena Balazinska: colleagues
Gaetano Borriello: colleagues
Garrett Cole: colleagues
Julie Letchner: colleagues
Yang Li: colleagues
Christopher Ré: colleagues
Dan Suciu: colleagues
Jordan Walke: colleagues