Spatio-temporal conceptual schema development for wide-area sensor networks

Mallikarjun Shankar, Alexandre Sorokine, Budhendra Bhaduri, David Resseguie, Shashi Shekhar, Jin Soung Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


A Wide-Area Sensor Network (WASN) is a collection of heterogeneous sensor networks and data repositories spread over a wide geographic area. The diversity of sensor types and the regional differences over which WASNs operate result in semantic interoperability mismatches among sensor data, and a difficulty in agreeing on methods for sensor data access and exchange. We assume that sensors and their associated data have an explicit spatio-temporal basis (or tagging) in their representation. In this paper, we describe a spatio-temporal loosely-coupled federated database model for the WASN data storage problem that of unifying query and data representation given a heterogeneous WASN - and propose a conceptual schema to ease the problem of integration of sensor data representations. This is a continuing and critical challenge as sensor networks become more ubiquitous and data interoperation becomes increasing vital for a variety of applications (such as homeland security, transportation, environmental monitoring, etc.). We employ a top-down ontology-driven software development methodology. We use the SNAP/SPAN ontology as a sample framework for the conceptual schema. We compare our methodology of conceptual schema development with a bottom-up entity-oriented schema construction and discuss the differences in the two approaches. A unique contribution is the discussion of deployment experiences to evaluate proposed approaches in the context of a concrete WASN testbed.

Original languageEnglish (US)
Title of host publicationGeoSpatial Semantics - Second International Conference, GeoS 2007, Proceedings
PublisherSpringer Verlag
Number of pages17
ISBN (Print)9783540768753
StatePublished - 2007
Event2nd International Conference on Geospatial Semantics, GeoS 2007 - Mexico City, Mexico
Duration: Nov 29 2007Nov 30 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4853 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other2nd International Conference on Geospatial Semantics, GeoS 2007
CityMexico City


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