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Semi-automatic semantic enrichment of raw sensor data

Legeay, Nicolas, Roantree, Mark, Jones, Gareth J.F. orcid logoORCID: 0000-0003-2923-8365, O'Connor, Noel E. orcid logoORCID: 0000-0002-4033-9135 and Smeaton, Alan F. orcid logoORCID: 0000-0003-1028-8389 (2007) Semi-automatic semantic enrichment of raw sensor data. In: The 6th International Conference on Ontologies, DataBases, and Applications of Semantics (ODBASE 2007), 27-29 Nov 2007, Vilamoura, Portugal. ISBN 978-3-540-76887-6

One of the more recent sources of large volumes of generated data is sensor devices, where dedicated sensing equipment is used to monitor events and happenings in a wide range of domains, including monitoring human biometrics. In recent trials to examine the effects that key moments in movies have on the human body, we fitted fitted with a number of biometric sensor devices and monitored them as they watched a range of dierent movies in groups. The purpose of these experiments was to examine the correlation between humans' highlights in movies as observed from biometric sensors, and highlights in the same movies as identified by our automatic movie analysis techniques. However,the problem with this type of experiment is that both the analysis of the video stream and the sensor data readings are not directly usable in their raw form because of the sheer volume of low-level data values generated both from the sensors and from the movie analysis. This work describes the semi-automated enrichment of both video analysis and sensor data and the mechanism used to query the data in both centralised environments, and in a peer-to-peer architecture when the number of sensor devices grows to large numbers. We present and validate a scalable means of semi-automating the semantic enrichment of sensor data, thereby providing a means of large-scale sensor management.
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:sensors; biometric sensors; biometrics
Subjects:Computer Science > Information retrieval
DCU Faculties and Centres:Research Institutes and Centres > Centre for Digital Video Processing (CDVP)
Published in: Proceedings of the 2007 OTM confederated international conference on On the move to meaningful internet systems. Lecture Notes in Computer Science 4805. Springer-Verlag. ISBN 978-3-540-76887-6
Official URL:http://dx.doi.org/10.1007/978-3-540-76888-3_7
Copyright Information:© 2007 Springer-Verlag. The original publication is available at www.springerlink.com
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:16509
Deposited On:18 Aug 2011 13:17 by Shane Harper . Last Modified 25 Oct 2018 12:15

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