The importance of maintaining provenance has been widely recognized, particularly with respect to highly-manipulated data. However, there are few deployed databases that provide p...
Provenance in the context of workflows, both for the data they derive and for their specification, is an essential component to allow for result reproducibility, sharing, and know...
Data provenance is information that describes how a given data item was produced. The provenance includes source and intermediate data as well as the transformations involved in pr...
The ease with which one can copy and transform data on the Web, has made it increasingly di cult to determine the origins of a piece of data. We use the term data provenance to ref...
Many advanced data management operations (e.g., incremental maintenance, trust assessment, debugging schema mappings, keyword search over databases, or query answering in probabil...
Grigoris Karvounarakis, Zachary G. Ives, Val Tanne...