The ESPRIT Project DWQ(Foundations of Data Warehouse Quality) aimed at impr
oving the quality of DW design and operation through systematic enrichment
of the semantic foundations of data warehousing. Logic-based knowledge repr
esentation and reasoning techniques were developed to control accuracy, con
sistency, and completeness via advanced conceptual modeling techniques for
source integration, data reconciliation, and multi-dimensional aggregation.
This is complemented by quantitative optimization techniques for view mate
rialization, optimizing timeliness and responsiveness without losing the se
mantic advantages from the conceptual approach. At the operational level, q
uery rewriting and materialization refreshment algorithms exploit the knowl
edge developed at design time. The demonstration shows the interplay of the
se tools under a shared metadata repository, based on an example extracted
from an application at Telecom Italia.