Concept based design of data warehouses: The DWQ demonstrators

Jarke, M; Quix, C; Calvanese, D; Lenzerini, M; Franconi, E; Ligoudistianos, S; Vassiliadis, P; Vassiliou, Y

dc.contributor.author	Jarke, M	en
dc.contributor.author	Quix, C	en
dc.contributor.author	Calvanese, D	en
dc.contributor.author	Lenzerini, M	en
dc.contributor.author	Franconi, E	en
dc.contributor.author	Ligoudistianos, S	en
dc.contributor.author	Vassiliadis, P	en
dc.contributor.author	Vassiliou, Y	en
dc.date.accessioned	2014-03-01T01:15:31Z
dc.date.available	2014-03-01T01:15:31Z
dc.date.issued	2000	en
dc.identifier.issn	0163-5808	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/13561
dc.subject	Conceptual Model	en
dc.subject	Data Reconciliation	en
dc.subject	Data Warehouse	en
dc.subject	Data Warehousing	en
dc.subject	Knowledge Representation and Reasoning	en
dc.subject	Optimization Technique	en
dc.subject	Query Rewriting	en
dc.subject	Multi Dimensional	en
dc.subject.classification	Computer Science, Information Systems	en
dc.subject.classification	Computer Science, Software Engineering	en
dc.title	Concept based design of data warehouses: The DWQ demonstrators	en
heal.type	journalArticle	en
heal.identifier.primary	10.1145/335191.336570	en
heal.identifier.secondary	http://dx.doi.org/10.1145/335191.336570	en
heal.language	English	en
heal.publicationDate	2000	en
heal.abstract	The ESPRIT Project DWQ(Foundations of Data Warehouse Quality) aimed at improving the quality of DW design and operation through systematic enrichment of the semantic foundations of data warehousing. Logic-based knowledge representation and reasoning techniques were developed to control accuracy, consistency, 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 materialization, optimizing timeliness and responsiveness without losing the semantic advantages from the conceptual approach. At the operational level, query rewriting and materialization refreshment algorithms exploit the knowledge developed at design time. The demonstration shows the interplay of these tools under a shared metadata repository, based on an example extracted from an application at Telecom Italia.	en
heal.publisher	ASSOC COMPUTING MACHINERY	en
heal.journalName	SIGMOD RECORD	en
dc.identifier.doi	10.1145/335191.336570	en
dc.identifier.isi	ISI:000087867500072	en
dc.identifier.volume	29	en
dc.identifier.issue	2	en
dc.identifier.spage	591	en
dc.identifier.epage	591	en