Download now Free registration required
Provenance, which is one kind of metadata that captures the derivation history of a data product, including its original data sources, intermediate products, and the steps that were applied to produce it, has become increasingly important in services computing and scientific workflows to validate, interpret, and analyze the result of scientific computing. Most existing systems store provenance data captured into their own provenance storages of proprietary provenance models and conduct query processing over the physical provenance storages using query languages, such as SQL, SPARQL, and XQuery, which are closely coupled to the underlying provenance storage strategies.
- Format: PDF
- Size: 1930.6 KB