Principles of database and knowledge-base systems, Vol. I
Principles of database and knowledge-base systems, Vol. I
Query evaluation techniques for large databases
ACM Computing Surveys (CSUR)
Fast and effective query refinement
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
Query Optimization in Database Systems
ACM Computing Surveys (CSUR)
Implementation of integrity constraints and views by query modification
SIGMOD '75 Proceedings of the 1975 ACM SIGMOD international conference on Management of data
Introduction to Bayesian Networks
Introduction to Bayesian Networks
Programming and Deploying Java Mobile Agents Aglets
Programming and Deploying Java Mobile Agents Aglets
Introduction to Database Systems
Introduction to Database Systems
Multisensor Data Fusion
Mole – Concepts of a mobile agent system
World Wide Web
Content-Based Indexing and Retrieval Supported by Mobile Agent Technology
MDIC '01 Proceedings of the Second International Workshop on Multimedia Databases and Image Communication
Querying Multimedia Data Sources and Databases
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Spatial/Temporal Query Processing for Information Fusion Applications
VISUAL '00 Proceedings of the 4th International Conference on Advances in Visual Information Systems
Efficient Query Refinement in Multimedia Databases
ICDE '00 Proceedings of the 16th International Conference on Data Engineering
A visual query language for dynamic processes applied to a scenario driven environment
Journal of Visual Languages and Computing
A visual query language for uncertain spatial and temporal data
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
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To support the retrieval and fusion of multimedia information from multiple real-time sources and databases, a novel approach for sensor-based query processing is described. The sensor dependency tree is used to facilitate query optimization. Through query refinement one or more sensor may provide feedback information to the other sensors. The approach is also applicable to evolutionary queries that change in time and/or space, depending upon the temporal/spatial coordinates of the query originator.