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Abstract
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| The increase that sensor network deployments are experiencing makes them one of the fastest growing sources of data nowadays. They allow live and in-situ data capture and provide high volumes of information about the real world that surrounds us. However their heterogeneity and error-proneness make them hard to use, as we normally require lots of details of each one before their measurements can be combined. We present an ontology-based approach for querying live sensor observations, enriched with semantic metadata. The metadata is used in two scenarios: (i) for adding contextual information to the sensor observations, such as which sensor recorded what, where, when, and in which conditions; and (ii) to help users ?lter sensor data in their queries. We provide automatic query translation and join of sensor data and metadata, using mappings of the underlying sensor schemas to semantically annotate sensor observations. With this approach we can express queries in terms of a high level sensor network ontology, using an extension of the SPARQL query language that considers window constructs. | |
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International
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Si |
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Congress
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6th Workshop on Semantic Business Process Management in conjunction with the Extended Semantic Web Conference (ESWC 2011) |
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960 |
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Place
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Heraklion, Greece |
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Reviewers
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Si |
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ISBN/ISSN
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Start Date
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29/05/2011 |
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End Date
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02/06/2011 |
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From page
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1 |
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To page
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6 |
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Proceedings of the Workshop |