DocumentCode
2919549
Title
Relationally Mapping XML Queries For Scalable XML Search
Author
Cathey, Rebecca J. ; Beitzel, Steven M. ; Jensen, Eric C. ; Grossman, David ; Frieder, Ophir
Author_Institution
Illinois Inst. of Technol., Chicago
fYear
2007
fDate
23-24 May 2007
Firstpage
378
Lastpage
378
Abstract
The growing trend of using XML to share security data requires scalable technology to effectively manage the volume and variety of data. Although a wide variety of methods exist for storing and searching XML, the two most common techniques are conventional tree-based approaches and relational approaches. Tree-based approaches represent XML as a tree and use indexes and path join algorithms to process queries. In contrast, the relational approach seeks to utilize the power of a mature relational database to store and search XML. This method relationally maps XML queries to SQL and reconstructs the XML from the database results. We use the XBench benchmark to compare the scalability of the SQLGenerator, our relational approach, with eXist, a popular tree-based approach.
Keywords
SQL; XML; query processing; relational databases; tree searching; SQLGenerator; Tree-based approach; XBench benchmark; XML query mapping; eXist 1.0 generator; indexes algorithm; path join algorithm; relational approach; relational database; scalable XML search; Data security; Information retrieval; Information security; Laboratories; Relational databases; Scalability; Sorting; Technology management; Timing; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligence and Security Informatics, 2007 IEEE
Conference_Location
New Brunswick, NJ
Electronic_ISBN
1-4244-1329-X
Type
conf
DOI
10.1109/ISI.2007.379524
Filename
4258738
Link To Document