Abstract
To be able to handle the ever growing volumes of XML documents, effective and efficient data management solutions are needed. Managing XML data in a relational DBMS has great potential. Recently, effective relational storage schemes and index structures have been proposed as well as special-purpose join operators to speed up querying of XML data using XPath/XQuery. In this paper, we address the topic of query plan construction and logical query optimization. The claim of this paper is that standard relational algebra extended with special-purpose join operators suffices for logical query optimization. We focus on the XPath accelerator storage scheme and associated staircase join operators, but the approach can be generalized easily.
| Original language | English |
|---|---|
| Title of host publication | First Twente Data Management Workshop (TDM 2004) on XML Databases and Information Retrieval, Enschede, The Netherlands, June 21, 2004 |
| Editors | Vojkan Mihajlović, Djoerd Hiemstra |
| Place of Publication | Enschede |
| Publisher | Centre for Telematics and Information Technology (CTIT) |
| Pages | 57-63 |
| Number of pages | 7 |
| Publication status | Published - 2004 |
| Event | 1st Twente Data Management Workshop on XML Databases and Information Retrieval, TDM 2004TDMTDM - University of Twente, Enschede, Netherlands Duration: 21 Jun 2004 → 21 Jun 2004 Conference number: 1 |
Publication series
| Name | CTIT workshop proceedings series |
|---|---|
| Publisher | CTIT |
| Number | WP04-1 |
| ISSN (Print) | 1574-0846 |
| ISSN (Electronic) | 0929-0672 |
Workshop
| Workshop | 1st Twente Data Management Workshop on XML Databases and Information Retrieval, TDM 2004TDMTDM |
|---|---|
| Abbreviated title | TDM |
| Country/Territory | Netherlands |
| City | Enschede |
| Period | 21/06/04 → 21/06/04 |
Keywords
- DB-XMLDB: XML DATABASES
- DB-PRJPF: PATHFINDER