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 :
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