Efficient storage and query processing of XML data in relational database systems

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 o...

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主要作者: Sandeep Prakash
其他作者: Sourav Saha Bhowmick
格式: Theses and Dissertations
出版: 2008
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在線閱讀:https://hdl.handle.net/10356/2438
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spelling sg-ntu-dr.10356-24382023-03-04T00:39:23Z Efficient storage and query processing of XML data in relational database systems Sandeep Prakash Sourav Saha Bhowmick School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval 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. MASTER OF ENGINEERING (SCE) 2008-09-17T09:03:00Z 2008-09-17T09:03:00Z 2005 2005 Thesis Sandeep, P. (2005). Efficient storage and query processing of XML data in relational database systems. Master’s thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/2438 10.32657/10356/2438 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
spellingShingle DRNTU::Engineering::Computer science and engineering::Information systems::Information storage and retrieval
Sandeep Prakash
Efficient storage and query processing of XML data in relational database systems
description 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.
author2 Sourav Saha Bhowmick
author_facet Sourav Saha Bhowmick
Sandeep Prakash
format Theses and Dissertations
author Sandeep Prakash
author_sort Sandeep Prakash
title Efficient storage and query processing of XML data in relational database systems
title_short Efficient storage and query processing of XML data in relational database systems
title_full Efficient storage and query processing of XML data in relational database systems
title_fullStr Efficient storage and query processing of XML data in relational database systems
title_full_unstemmed Efficient storage and query processing of XML data in relational database systems
title_sort efficient storage and query processing of xml data in relational database systems
publishDate 2008
url https://hdl.handle.net/10356/2438
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