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Index and storage design in native XML databases
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Source ACM Southeast Regional Conference archive
Proceedings of the 43rd annual Southeast regional conference - Volume 1 table of contents
Kennesaw, Georgia
SESSION: Database table of contents
Pages: 218 - 219  
Year of Publication: 2005
ISBN:1-59593-059-0
Authors
Guangming Xing  Western Kentucky University, Bowling Green, KY
Jaya Esanakula  Western Kentucky University, Bowling Green, KY
Suresh Jayanty  Western Kentucky University, Bowling Green, KY
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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ABSTRACT

Using a native XML DBMS to efficiently store and retrieve XML data has been well studied in recent years. Various native XML DBMSs were developed, and they support most of the features of XQuery. The core topics of these studies are indexing methods for XML. Most existing native XML DBMSs use range based indexing methods, resulting in significant extra space and system degradation.In this paper, we present a method that maps XML data into relational tables. Our method is still range based, which means it can process queries with regular path expression efficiently. But with the introduction of node grouping, the extra space needed for the indexing is reduced significantly. With fewer tables created, we will show that query processing can also be significantly expedited.


Collaborative Colleagues:
Guangming Xing: colleagues
Jaya Esanakula: colleagues
Suresh Jayanty: colleagues