Materialized View Selection by Query Clustering in XML Data Warehouses

Hadj Mahboubi (1) , Kamel Aouiche (1) , Jérôme Darmont (1)

1 ERIC - Equipe de Recherche en Ingénierie des Connaissances

XML data warehouses form an interesting basis for decision-support applications that exploit complex data. However, native XML database management systems currently bear limited performances and it is necessary to design strategies to optimize them. In this paper, we propose an automatic strategy for the selection of XML materialized views that exploits a data mining technique, more precisely the clustering of the query workload. To validate our strategy, we implemented an XML warehouse modeled along the XCube specifications. We executed a workload of XQuery decision-support queries on this warehouse, with and without using our strategy. Our experimental results demonstrate its efficiency, even when queries are complex.

Mots clés: Materialized views; XML; Data warehouses; Clustering; Complex data

Domaines: Base de données [cs.DB]

Hadj Mahboubi, Kamel Aouiche, Jérôme Darmont. Materialized View Selection by Query Clustering in XML Data Warehouses. 4th International Multiconference on Computer Science and Information Technology (CSIT 2006), 2006, Amman, Jordan. pp.68-77. ⟨hal-00320632⟩