Please use this identifier to cite or link to this item:
Title: Efficient storage and query processing of XML data in relational database systems
Authors: Sandeep Prakash
Keywords: DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Issue Date: 2005
Source: Sandeep, P. (2005). Efficient storage and query processing of XML data in relational database systems. Master’s thesis, Nanyang Technological University, Singapore.
Abstract: The popularity of XML has lead to a plethora of data that is less structured and does not follow a pre-destined schema. As a result, there is a growing need for data management systems that allow the storage and querying of such data. One avenue is the use of existing database technology. The goal of this thesis is to investigate relational storage approaches for XML data. To that end we present two schema-oblivious relational storage approaches - SUCXENT and SUXCENT++ that provide tremendous improvement over existing schema-oblivious approaches. Among these two approaches SUCXENT++ represents a more significant improvement in performance. We also present algorithms that trnaslate some types of XQuery queries into SQL based on these two approaches.
DOI: 10.32657/10356/2438
Rights: Nanyang Technological University
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Theses

Files in This Item:
File Description SizeFormat 
SCE-THESES_193.pdf26.04 MBAdobe PDFThumbnail

Page view(s) 50

Updated on May 10, 2021

Download(s) 20

Updated on May 10, 2021

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.