Database Reference
In-Depth Information
to as sensor enablement. At the next point in the architecture, the end users can
influence the
level
and
type
of context by specifying a series of events. Before we
introduced this step many queries were dicult to express and in some cases,
it was not possible to express the more complex queries. As is typical in data
warehouse systems, this also leads to an improvement in query processing times
as the knowledge acquisition step provides partially executed queries.
Our current efforts are focused on the Integration Processor as we are cur-
rently limited to situations where each sensor can be synchronised against a
common clock. As we begin to introduce sensors from outside our direct con-
trol, we must be able to auto-synchronise based on a set of algorithms we are
currently developing. However, the delivery of a high-level interface for sensor
data analysis provides a significant step forward for exercise physiologists where
previous efforts required a manual analysis of spreadsheet data.
References
1. Barnaghi, P.M., Meissner, S., Presser, M., Moessner, K.: Sense and sens'ability:
Semantic data modelling for sensor networks. In: Proceedings of the ICT Mobile
Summit 2009 (2009)
2. Botts, M., Percivall, G., Reed, C., Davidson, J.: OGC Sensor Web Enablement:
Overview and High Level Architecture. In: Nittel, S., Labrinidis, A., Stefanidis, A.
(eds.) GSN 2006. LNCS, vol. 4540, pp. 175-190. Springer, Heidelberg (2008)
3. Dey, A.K.: Understanding and Using Context. Personal Ubiquitous Comput-
ing 5(1), 4-7 (2001)
4. GoldenCheetah (2011),
http://goldencheetah.org/
5. Liu, J., Roantree, M., Bellahsene, Z.: A SchemaGuide for Accelerating the View
Adaptation Process. In: Parsons, J., Saeki, M., Shoval, P., Woo, C., Wand, Y.
(eds.) ER 2010. LNCS, vol. 6412, pp. 160-173. Springer, Heidelberg (2010)
6. Russomanno, D.J., Kothari, C., Thomas, O.: Building a sensor ontology: A prac-
tical approach leveraging ISO and OGC models. In: The 2005 International Con-
ference on Artificial Intelligence, pp. 637-643. CSREA Press (2005)
7. Sensor Web Enablement (SWE) (2011),
8. Suggested Upper Merged Ontology (2011),
9. TrainingPeaks WKO (2011),
10. Wang, X., Dong, J.S., Chin, C., Hettiarachchi, S., Zhang, D.: Semantic Space: An
Infrastructure for Smart Spaces. IEEE Pervasive Computing 3(3), 32-39 (2004)
11. Web Ontology Language (2011),
http://www.w3.org/TR/owl-features/
12. Ye, J., McKeever, S., Coyle, L., Neely, S., Dobson, S.: Resolving uncertainty in
context integration and abstraction: context integration and abstraction. In: ICPS
2008: Proceedings of the 5th International Conference on Pervasive Services, pp.
131-140. ACM, New York (2008)
