Efficient Algorithms to Index, Store and Query XML Documents

Mapping XML documents into relational database is a promising solution because relational databases are mature and scale very well and they have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of da...

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Main Authors: Fakhreldin, Mohammed Adam Ibrahim, Khalid, Edris, Jasni, Mohamad Zain, Norrozila, Sulaiman
Format: Conference or Workshop Item
Language:English
Published: 2012
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/3677/1/53ICoCSIM.pdf
http://umpir.ump.edu.my/id/eprint/3677/
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spelling my.ump.umpir.36772018-04-25T05:58:17Z http://umpir.ump.edu.my/id/eprint/3677/ Efficient Algorithms to Index, Store and Query XML Documents Fakhreldin, Mohammed Adam Ibrahim Khalid, Edris Jasni, Mohamad Zain Norrozila, Sulaiman QA76 Computer software Mapping XML documents into relational database is a promising solution because relational databases are mature and scale very well and they have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of data with little extra effort. In this paper, we propose two algorithms (XRD, XRS) that maps XML documents into relational database. The algorithm steps are given in details to describe how to map the XML documents into relational database. Then we report our experimental results on a real database to show the performance of our method in some features. 2012-12-03 Conference or Workshop Item PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/3677/1/53ICoCSIM.pdf Fakhreldin, Mohammed Adam Ibrahim and Khalid, Edris and Jasni, Mohamad Zain and Norrozila, Sulaiman (2012) Efficient Algorithms to Index, Store and Query XML Documents. In: International Conference on Computational Science and Information Management (ICoCSIM), 3-5 December 2012 , Toba Lake, North Sumatera, Indonesia. pp. 281-286..
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA76 Computer software
spellingShingle QA76 Computer software
Fakhreldin, Mohammed Adam Ibrahim
Khalid, Edris
Jasni, Mohamad Zain
Norrozila, Sulaiman
Efficient Algorithms to Index, Store and Query XML Documents
description Mapping XML documents into relational database is a promising solution because relational databases are mature and scale very well and they have the advantages that in a relational database XML data and structured data can coexist making it possible to build application that involve both kinds of data with little extra effort. In this paper, we propose two algorithms (XRD, XRS) that maps XML documents into relational database. The algorithm steps are given in details to describe how to map the XML documents into relational database. Then we report our experimental results on a real database to show the performance of our method in some features.
format Conference or Workshop Item
author Fakhreldin, Mohammed Adam Ibrahim
Khalid, Edris
Jasni, Mohamad Zain
Norrozila, Sulaiman
author_facet Fakhreldin, Mohammed Adam Ibrahim
Khalid, Edris
Jasni, Mohamad Zain
Norrozila, Sulaiman
author_sort Fakhreldin, Mohammed Adam Ibrahim
title Efficient Algorithms to Index, Store and Query XML Documents
title_short Efficient Algorithms to Index, Store and Query XML Documents
title_full Efficient Algorithms to Index, Store and Query XML Documents
title_fullStr Efficient Algorithms to Index, Store and Query XML Documents
title_full_unstemmed Efficient Algorithms to Index, Store and Query XML Documents
title_sort efficient algorithms to index, store and query xml documents
publishDate 2012
url http://umpir.ump.edu.my/id/eprint/3677/1/53ICoCSIM.pdf
http://umpir.ump.edu.my/id/eprint/3677/
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score 13.2014675