Semantic Multi-sensor Data Processing for Smart Environments

Fano Ramparany

Abstract

One salient feature of data produced by the IoT is its heterogeneity. Despite this heterogeneity, future IoT applications including Smart Home, Smart City, Smart Energy services, will require that all data be easily compared, correlated and merged, and that interpretation of this resulting aggregate into higher level context better matches people needs and requirements. In this paper we propose a framework based on semantic technologies for aggregating IoT data. Our approach has been assessed in the domain of the Smart Home with real data provided by Orange Homelive solution. We show that our approach enables simple reasoning mechanisms to be conducted on the aggregated data, so that contexts such as the presence, activities of people as well as abnormal situations requiring corrective actions, be inferred.

References

  1. (2015). http://www.computerweekly.com/news/ 2240217788/Data-set-to-grow-10-fold-by-2020- as-internet-of-things-takes-off.
  2. Berners-Lee, T. (2006). ”linked data”. In International Journal on Semantic Web and Information Systems, volume 4. W3C.
  3. Bizer, C., T., H., and Berners-Lee, T. (2009). ”linked data - the story so far”. In International Journal on Semantic Web and Information Systems, volume 5.
  4. Calvanese, D., Giacomo, G. D., et al. (2011). The mastro system for ontology-based data access. In Semantic Web Journal.
  5. Compton, M., Barnaghi, P., et al. (2012). The ssn ontology of the w3c semantic sensor network incubator group.
  6. Hartig, O., Bizer, C., et al. (2009). Executing sparql queries over the web of linked data. In The Semantic WebISWC, pages 293-309. Springer Berlin Heidelberg, W3C Working Group.
  7. Lenzerini, M. (2011). Ontology-based data management. In Proc. of CIKM 2011, pages 5-6.
  8. Pschorr, J., Henson, C., et al. (2010). Sensor discovery on linked data. Proceedings of the 7th Extended Semantic Web Conference, ESWC2010, Heraklion, Greece, 30.
  9. Ramparany, F., Marquez, F. G., et al. (2014). ”handling smart environment devices, data and services at the semantic level with the fi-ware core platform”. In Proceeding of the 1st Workshop on Semantics for Big Data on the Internet of Things (SemBIoT 2014), pages 14-20. IEEE International Conference on Big Data.
  10. Ramparany, F., Poortinga, R., et al. (2007). An open Context Information Management Infrastructure - the IST-Amigo Project. In of Engineering, I. I. and Technology, editors, Proceedings of the 3rd IET International Conference on Intelligent Environments (IE'07), pages 398-403, Germany. University of Ulm.
  11. Rodriguez-Muro, M., Hardi, J., et al. (2012). Quest: Efficient sparql-to-sql for rdf and ow. In Proc. of the 12th Int. Semantic Web Conference (ISWC 2012).
  12. Sorici, A., Picard, G., et al. (April 2015). CONSERT: Applying semantic web technologies to context modeling in ambient intelligence. In Computers & Electrical Engineering, number 44.
  13. Web ontology language. Technical report, W3C, http://www.w3.org/TR/owl2-overview.
  14. Ye, J., Dasiopoulou, S., et al. (2015). Semantic web technologies in pervasive computing: A survey and research roadmap. Pervasive and Mobile Computing, 23:1 - 25.
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Paper Citation


in Harvard Style

Ramparany F. (2016). Semantic Multi-sensor Data Processing for Smart Environments . In Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-169-4, pages 199-206. DOI: 10.5220/0005729601990206


in Bibtex Style

@conference{sensornets16,
author={Fano Ramparany},
title={Semantic Multi-sensor Data Processing for Smart Environments},
booktitle={Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,},
year={2016},
pages={199-206},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005729601990206},
isbn={978-989-758-169-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 5th International Confererence on Sensor Networks - Volume 1: SENSORNETS,
TI - Semantic Multi-sensor Data Processing for Smart Environments
SN - 978-989-758-169-4
AU - Ramparany F.
PY - 2016
SP - 199
EP - 206
DO - 10.5220/0005729601990206