Semantic High Level Querying in Sensor Networks

Ilaria Giordani, Daniele Toscani, Francesco Archetti, Mauro Cislaghi

Abstract

The quick development and deployment of sensor technology within the general frame of the Internet of Things poses relevant opportunity and challenges. The sensor is not a pure data source, but an entity (Semantic Sensor Web) with associated metadata and it is a building block of a “worldwide distributed” real time database, to be processed through real-time queries. Important challenges are to achieve interoperability in connectivity and processing capabilities (queries) and to apply “intelligence” and processing capabilities as close as possible to the source of data. This paper presents the extension of a general architecture for data integration in which we add capabilities for processing of complex queries and discuss how they can be adapted to, and used by, an application in the Semantic Sensor Web, presenting a pilot study in environment and health domains.

References

  1. Accenture, Information 2015: Reforming the paradigm, (2010)
  2. Bernini, D., Micucci, D., Tisato, F.: A Space-Based Interoperability Model. In: Int. Workshop on Ontology, Conceptualization and Epistemology for Information Systems, Software Engineering and Service Science (ONTOSE 2010) - In conjunction with 22nd Int. Conf. On Advanced Information Systems Engineering (CAiSE'10) - June 7-11, Hammamet, Tunisia, (2010).
  3. Bernini, D., Micucci, D., Tisato, F.: Space Integration Services: a platform for space-aware communication. In: Int. Workshop on Emergency Management: Communication and Computing Platforms) - In conjunction with IWCMC 2010 - 6th International Wireless Communications & Mobile Computing Conference (IWCMC 2010), Caen, France, (2010).
  4. Bernini, D., Micucci, D., Tisato, F.: A Platform for Interoperability via Multiple Spatial Views in Open Smart Spaces, In: First Int. Workshop on Semantic Interoperability for Smart Spaces (SISS 2010) - In conjunction with IEEESymposium on Computers and Communications (ISCC'10), Riccione, Italy, (2010).
  5. Brunner, J.S., Goudou, J.-F., Gatellier, P., Beck, J., Laporte, C. E.: SEMbySEM: a framework for sensor management. In: Proc. of the 1st Int. Workshop on the Semantic Sensor Web (SemSensWeb) , collocated with ESWC, (2009).
  6. Duan, S. and Babu, S.: Processing forecasting queries. In: VLDB 7807: Proceedings of the 33rd international conference on Very large data bases, (2007), 711-722.
  7. Messina, E., Toscani, D.:Hidden Markov Models for Scenario Generation. IMA Journal of Management Mathematics, Vol. 19 (4), pp. 379-401. October 2008
  8. Li, L., Taylor, K.: A Framework for Semantic Sensor Network Services. Lecture Notes In Computer Science; Vol.5364 Proceedings of the 6th International Conference on ServiceOriented Computing table of contents, Sydney, Australia, (2008), 347 - 361.
  9. Mitis F, Iavarone I, Martuzzi M. Health impact of ozone in 13 Italian cities, Epidemiol Prev., Vol. 31, 323-32, (2007).
  10. Simperl, E., Keller, U., Fischer, F., Oren, E., Bishop, B., Huang, Z., Tagni, G., Quesada, J., Fortuna, B., Hu, J., Qin, Y.: Deliverable D1.1.1 An Overview of Relevant Work in Other Areas. LarKC. The Large Knowledge Collider a platform for large scale integrated reasoning and Web-search. European Research Project FP7- 215535, (2009).
  11. Stuckenschmidt, H., Ceri, S., Della Valle, E. and van Harmelen, F.: Towards Expressive Stream Reasoning. In: Proceedings of the Dagstuhl Seminar on Semantic Aspects of Sensor Networks, (2010).
  12. Toscani, D., Bargna, F., Quarenghi, L., Archetti, F., Giordani, I.: A software system for data integration and decision support for evaluation of air pollution health impact. In: ICEIS conference, 8 - 12 June, Madeira - Portugal (2010).
  13. Umer, M., Kulik, L. and Tanin, E.: Optimizing query processing using selectivityawareness in Wireless Sensor Networks, Elsevier Computers, Environment and Urban Systems Vol. 33 79-8, (2009).
Download


Paper Citation


in Harvard Style

Giordani I., Toscani D., Archetti F. and Cislaghi M. (2010). Semantic High Level Querying in Sensor Networks . In Proceedings of the International Workshop on Semantic Sensor Web - Volume 1: SSW, (IC3K 2010) ISBN 978-989-8425-33-1, pages 72-84. DOI: 10.5220/0003116600720084


in Bibtex Style

@conference{ssw10,
author={Ilaria Giordani and Daniele Toscani and Francesco Archetti and Mauro Cislaghi},
title={Semantic High Level Querying in Sensor Networks},
booktitle={Proceedings of the International Workshop on Semantic Sensor Web - Volume 1: SSW, (IC3K 2010)},
year={2010},
pages={72-84},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003116600720084},
isbn={978-989-8425-33-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Workshop on Semantic Sensor Web - Volume 1: SSW, (IC3K 2010)
TI - Semantic High Level Querying in Sensor Networks
SN - 978-989-8425-33-1
AU - Giordani I.
AU - Toscani D.
AU - Archetti F.
AU - Cislaghi M.
PY - 2010
SP - 72
EP - 84
DO - 10.5220/0003116600720084