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Toward Autonomous Mining of the Sensor Web

  • Peisheng Zhao
  • Liping Di
  • Genong Yu
Chapter
Part of the Annals of Information Systems book series (AOIS, volume 11)

Abstract

The Sensor Web provides an interoperable way to discover, task, and retrieve sensor data over the network. The approach to knowledge discovery from the Sensor Web needs to explore data ingestion, domain models, and data processing. This chapter leverages recent advances in autonomous control and the Semantic Web technologies to present a systematic approach in which the Sensor Web and Earth science models are annotated with semantic metadata and chained together in an autonomous way as a service chain to simulate the process of Sensor Web mining based on semantic inference. This approach significantly advances sensor data exploration with semantics in an interoperable way to improve the accuracy and timeliness of monitoring and predicting rapidly changing Earth phenomena.

Keywords

Landslide Susceptibility Simple Object Access Protocol Business Process Execution Language Open Geospatial Consortium Geography Markup Language 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Center for Spatial Information Science and Systems (CSISS)George Mason UniversityFairfaxUSA

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