Wide-area distribution raises significant performance problems for traditional query processing techniques as data access becomes less predictable due to link congestion, load imb...
An effective query optimizer finds a query plan that exploits the characteristics of the source data. In data integration, little is known in advance about sources' propertie...
Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning q...
Abstract. In preference learning, the algorithm observes pairwise relative judgments (preference) between items as training data for learning an ordering of all items. This is an i...
In recent years, data provenance or lineage tracing which refers to the process of tracing the sources of data, data movement between databases, and annotations written for data ha...