Intelligent Querying Techniques for Sensor Data Fusion

Author:

Chang Shi-Kuo1,Costagliola Gennaro2,Jungert Erland3,Camara Karin3

Affiliation:

1. University of Pittsburgh, USA

2. Università di Salerno, Italy

3. Swedish Defense Research Agency, Sweden

Abstract

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.

Publisher

IGI Global

Reference28 articles.

1. A visual query language for dynamic processes applied to a scenario driven environment. Journal of Visual language and Computation.;K.Camara;Special Issue on Human-GIS Interaction,2007

2. Carrara, W. H., Majewski, R. M., & Goodman, R. S. (1995). Spotlight synthetic aperture radar: Signal processing algorithms. Artech House.

3. Chakrabarti, K., Porkaew, K., & Mehrotra, S. (2000). Efficient query refinement in multimedia databases. In Proceedings of the 16th International Conference on Data Engineering. San Diego, California, February 28 – March 3, 2000.

4. Chang, S.-K., Costagliola, G., & Jungert, E. (2002b). Multi-sensor information fusion by query refinement. Recent Advances in Visual Information Systems (LNCS 2314, pp. 1-11).

5. Querying Distributed Multimedia Databases and Data Sources for Sensor Data Fusion

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