Abstract
Developments in (wireless) sensor and actuator networks and the capabilities to manufacture low cost and energy efficient networked embedded devices have lead to considerable interest in adding real world sense to the Internet and the Web. Recent work has raised the idea towards combining the Internet of Things (i.e. real world resources) with semantic Web technologies to design future service and applications for the Web. In this paper we focus on the current developments and discussions on designing Semantic Sensor Web, particularly, we advocate the idea of semantic annotation with the existing authoritative data published on the semantic Web. Through illustrative examples, we demonstrate how rule-based reasoning can be performed over the sensor observation and measurement data and linked data to derive additional or approximate knowledge. Furthermore, we discuss the association between sensor data, the semantic Web, and the social Web which enable construction of context-aware applications and services, and contribute to construction of a networked knowledge framework.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Weiser, M.: The computer for the 21st century. Scientific American 265(3), 66–75 (1991)
Union, I.C.: The internet of things, iTU Internet Reports, Executive Summary (2005)
Botts, M., Percivall, G., Reed, C., Davidson, J.: Sensor web enablement: Overview and high level architecture, pp. 175–190 (2008)
Berners-Lee, T., Hendler, J., Lassila, O.: The semantic web. Scientific American 284(5) (2001)
Sheth, A.P., Henson, C., Sahoo, S.S.: Semantic sensor web. IEEE Internet Computing 12(4), 78–83 (2008)
Russomanno, D.J., Kothari, C., Thomas, O.: Sensor ontologies: from shallow to deep models. In: Proceedings of the Thirty-Seventh southeastern Symposium on System Theory, SSST 2005, Los Alamitos, CA, USA, pp. 107–112 (2005)
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 (June 2009) (to appear)
Eid, M., Liscano, R., El Saddik, A.: A universal ontology for sensor networks data. In: Proceedings of the IEEE International Conference on Computational Intelligence for Measurement Systems and Applications, CIMSA 2007, pp. 59–62. IEEE Computer Society, Los Alamitos (2007)
Kim, J.-H., Kwon, H., Kim, D.-H., Kwak, H.-Y., Lee, S.-J.: Building a service-oriented ontology for wireless sensor networks. In: Proceedings of the Seventh IEEE/ACIS International Conference on Computer and Information Science, ICIS 2008, Los Alamitos, CA, USA, pp. 649–654 (2008)
Gruber, T.: Collective knowledge systems: Where the social web meets the semantic web. Web Semantics: Science, Services and Agents on the World Wide Web 6(1), 4–13 (2008)
Decker, S., Hauswirth, M.: Enabling networked knowledge. In: Klusch, M., Pěchouček, M., Polleres, A. (eds.) CIA 2008. LNCS (LNAI), vol. 5180, pp. 1–15. Springer, Heidelberg (2008)
Henson, C., Sheth, A., Jain, P., Rapoch, T.: Video on the semantic sensor web. In: W3C Video on the Web Workshop (2007)
Jain, R.: EventWeb: developing a human-centered computing system. Computer 41(2), 42–50 (2008)
Sheth, A., Perry, M.: Traveling the semantic web through space, time, and theme. IEEE Internet Computing 12(2), 81–86 (2008)
Schmidt, A., Beigl, M., Gellersen, H.-W.: There is more to context than location. Computers & Graphics 23(6), 893–901 (1999)
Vuković, M.: Context aware service composition. UCAM-CL-TR-700, University of Cambridge, Computer Laboratory, Tech. Rep. (October 2007)
Wang, W., Barnaghi, P.M., Bargiela, A.: Probabilistic topic models for learning terminological ontologies. IEEE Transactions on Knowledge and Data Engineering (to appear, 2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Wei, W., Barnaghi, P. (2009). Semantic Annotation and Reasoning for Sensor Data. In: Barnaghi, P., Moessner, K., Presser, M., Meissner, S. (eds) Smart Sensing and Context. EuroSSC 2009. Lecture Notes in Computer Science, vol 5741. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04471-7_6
Download citation
DOI: https://doi.org/10.1007/978-3-642-04471-7_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04470-0
Online ISBN: 978-3-642-04471-7
eBook Packages: Computer ScienceComputer Science (R0)