Why Not Provenance for Web Data and Knowledge

Existing work on explaining why data, albeit expected, is not part of a query result so far limits to data stored in relational queries and transformed using simple SQL queries. However, using such explanations (commonly referred to as Why Not Provenance) for analyzing complex data transformation requires the support of more complex data models and transformations. Therefore, this project explores how Why Not provenance extends to XML and RDF data.

Activités de recherche

Membres LRI