Ontology driven adaptive data processing in wireless sensor networks

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Ontology driven adaptive data processing in wireless sensor networks

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ACM International Conference Proceeding Series; Vol. 304 archive
Proceedings of the 2nd international conference on Scalable information systems table of contents

Suzhou, China

SESSION: WIP 2 -- work-in-progress II table of contents

Article No. 46

Year of Publication: 2007

ISBN:978-1-59593-757-5

Authors

Yuheng Hu	Zhejiang University City College
Zhendong Wu	Zhejiang University
Ming Guo	Zhejiang University City College

Sponsors

SIGARCH: ACM Special Interest Group on Computer Architecture
SIGIR: ACM Special Interest Group on Information Retrieval
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering) ICST, Brussels, Belgium, Belgium

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ABSTRACT

It is important to provide adaptive data processing in wireless sensor networks in order to deal with various applications. In this paper, we propose a WIreless Sensor Networks Ontology (WISNO) for flexible modeling of sensor data. WISNO contains two-tier ontologies, a front-end for coarse-grained analysis and a back-end for high-level fine-grained data processing. We also describes the WISNO reasoning rules that adopts description logic and SWRL for managing data automatically.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	I. Horrocks et al., SWRL: A Semantic Web Rule Language Combining OWL and RuleML, W3C Member Submission, 2004
	2	M. Smith. Sensor Model Language (SensorML) for In-situ and Remote Sensors. OpenGIS Consortium, Inc., December 2002.
	3	C. H. Jones. IEEE 1451.4 smart transducers template description language, http://standards.ieee.org/regauth/1451 accessed/Tutorials.html, April 22, 2006.