Name
Abstract | ||
|---|---|---|
XML data warehouses form an interesting basis for decision-support
applications that exploit complex data. However, native-XML database management
systems (DBMSs) currently bear limited performances and it is necessary to
research for ways to optimize them. In this paper, we propose a new join index
that is specifically adapted to the multidimensional architecture of XML
warehouses. It eliminates join operations while preserving the information
contained in the original warehouse. A theoretical study and experimental
results demonstrate the efficiency of our join index. They also show that
native XML DBMSs can compete with XML-compatible, relational DBMSs when
warehousing and analyzing XML data. |
Year | Venue | Keywords |
|---|---|---|
2008 | Clinical Orthopaedics and Related Research | performance,complex data,indexation,management system,decision support,data warehouse |
Field | DocType | Volume |
Data mining,Efficient XML Interchange,XML Encryption,Streaming XML,Recursive join,Information retrieval,XML validation,Computer science,XML database,Sort-merge join,XML Schema Editor,Database | Journal | abs/0809.1 |
Citations | PageRank | References |
1 | 0.35 | 17 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hadj Mahboubi | 1 | 92 | 8.60 |
| Kamel Aouiche | 2 | 233 | 13.32 |
| Jérôme Darmont | 3 | 382 | 50.93 |