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MeT: a real world oriented metadata management system for semantic sensor networks

Published: 11 September 2006 Publication History

Abstract

A semantic sensor network describes the physical world using the metadata obtained from a sensor network. In this paper, we present our design and implementation of MeT, a real world oriented metadata management system for semantic sensor networks. MeT generates metadata either statically based on the application semantics, or dynamically using inference rules. It then constructs relationships between physical objects through these metadata. The sensor devices in MeT include RFID tags, position sensors and Motes. The users can query MeT about physical objects through either a Graphic User Interace, or Robovie, a communication robot. We give several concrete examples of querying physical objects in MeT to demonstrate the functionality of our system.

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  • (2010)Query Optimisation for Data Mining in Peer-to-Peer Sensor NetworksIntelligent Techniques for Warehousing and Mining Sensor Network Data10.4018/978-1-60566-328-9.ch011(234-256)Online publication date: 2010
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cover image ACM Other conferences
DMSN '06: Proceedings of the 3rd workshop on Data management for sensor networks: in conjunction with VLDB 2006
September 2006
56 pages
ISBN:9781450378390
DOI:10.1145/1315903
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 11 September 2006

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Cited By

View all
  • (2019)A Security Model Based on Relational Model for Semantic Sensor NetworksWireless Personal Communications: An International Journal10.1007/s11277-009-9878-x56:1(131-146)Online publication date: 3-Jan-2019
  • (2011)Metadata Management System for Wetland Environment Context-AwareUbiquitous Computing and Multimedia Applications10.1007/978-3-642-20998-7_34(275-284)Online publication date: 2011
  • (2010)Query Optimisation for Data Mining in Peer-to-Peer Sensor NetworksIntelligent Techniques for Warehousing and Mining Sensor Network Data10.4018/978-1-60566-328-9.ch011(234-256)Online publication date: 2010
  • (2009)Using Sensor Networks to Measure Intensity in Sporting ActivitiesQuality of Service in Heterogeneous Networks10.1007/978-3-642-10625-5_38(598-612)Online publication date: 2009
  • (2008)SS-RBACProceedings of the 2008 Second International Conference on Future Generation Communication and Networking - Volume 0210.1109/FGCN.2008.192(352-355)Online publication date: 13-Dec-2008
  • (2007)KRAFT: A Real-Time Active DBMS for Signal Streams2007 Fourth International Conference on Networked Sensing Systems10.1109/INSS.2007.4297414(163-166)Online publication date: Jun-2007

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