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Sensor data fusion imposes a number of novel requirements on query languages and query processing techniques. A spatial/temporal query language called SQL has been proposed to support the retrieval of multimedia information from multiple sources and databases. This chapter investigates intelligent querying techniques including fusion techniques, multimedia data transformations, interactive progressive query building and SQL query processing techniques using sensor data fusion. The authors illustrate and discuss tasks and query patterns for information fusion, provide a number of examples of iterative queries and show the effectiveness of SQL in a command-action scenario.

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Intelligent Querying Techniques for Sensor Data Fusion

Chang

Costagliola

Jungert

et al. 2010

Intelligent Techniques for Warehousing and Mining Sensor Network Data

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Cited by 1 publication

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Intelligent Querying Techniques for Sensor Data Fusion

Intelligent Querying Techniques for Sensor Data Fusion

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