An efficient plan execution system for information management agents
Proceedings of the 2nd international workshop on Web information and data management
Proceedings of the 2nd international workshop on Web information and data management
Dataflow plan execution for software agents
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Materializing Web Data for OLAP and DSS
WAIM '00 Proceedings of the First International Conference on Web-Age Information Management
Improving Performance of Heterogeneous Agents
Annals of Mathematics and Artificial Intelligence
Partitioning activities for agents
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Multi-source materialized views maintenance: multi-level views
ADBIS'06 Proceedings of the 10th East European conference on Advances in Databases and Information Systems
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There is currently great interest in building information mediators that can integrate information from multiple data sources such as databases or Web sources. The query response time in such mediators is typically quite high. We present an approach for optimizing the performance of information mediators by selectively materializing data. We first present our overall framework for materialization in a mediator environment. We then stress the need to materialize data selectively and outline the factors that must be considered to select data to materialize. We present an algorithm for identifying classes of data to materialize by analyzing one of the factors which is the distribution of user queries. We present results with an implemented version of our optimization system for the Ariadne information mediator, which show significant performance improvement over no materialization and existing schemes such as page level caching.