Semantic Annotation and Reasoning for Sensor Data

Wei, W and Barnaghi, P (2009) Semantic Annotation and Reasoning for Sensor Data In: 4th European Conference on Smart Sensing and Context, 2009-09-16 - 2009-09-18, Guildford, UK.

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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.

Item Type:	Conference or Workshop Item (Conference Paper)
Divisions :	Faculty of Engineering and Physical Sciences > Electronic Engineering > Centre for Communication Systems Research
Authors :	Name Email ORCID Wei, W Barnaghi, P
Date :	2009
DOI :	10.1007/978-3-642-04471-7_6
Contributors :	Contribution Name Email ORCID http://www.loc.gov/loc.terms/relators/EDT Barnaghi, P http://www.loc.gov/loc.terms/relators/EDT Moessner, K http://www.loc.gov/loc.terms/relators/EDT Presser, M http://www.loc.gov/loc.terms/relators/EDT Meissner, S http://www.loc.gov/loc.terms/relators/PBL Springer,
Uncontrolled Keywords :	Sensor data modelling, Semantic annotation, Linked data, Reasoning, Semantic Web, WEB, KNOWLEDGE
Additional Information :	The original publication is available at: www.springerlink.com
Depositing User :	Symplectic Elements
Date Deposited :	04 May 2012 14:57
Last Modified :	31 Oct 2017 14:33
URI:	http://epubs.surrey.ac.uk/id/eprint/470686

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