Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/2438
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. | URI: | https://hdl.handle.net/10356/2438 | DOI: | 10.32657/10356/2438 | Schools: | School of Computer Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | SCSE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SCE-THESES_193.pdf | 26.04 MB | Adobe PDF | ![]() View/Open |
Page view(s) 20
706
Updated on Mar 17, 2025
Download(s) 20
313
Updated on Mar 17, 2025
Google ScholarTM
Check
Altmetric
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.