Reasoning with Large Data Sets
Efficient reasoning is a critical factor for successful Semantic Web applications. In this context, applications may require vast volumes of data to be processed in a short time. The authors develop novel reasoning techniques which will extend current reasoning methods as well as existing database technologies in order to enable large scale reasoning. They propose advances and key design principles primarily in: making an efficient query execution plan as well as in memory, storage and recovery management.