EconPapers    
Economics at your fingertips  
 

Schema Independent XML Compressor

Baydaa Al-Hamadani, Zhongyu (Joan) Lu and Raad F. Alwan
Additional contact information
Baydaa Al-Hamadani: University of Huddersfield, UK
Zhongyu (Joan) Lu: University of Huddersfield, UK
Raad F. Alwan: Philadelphia University, Jordan

International Journal of Information Retrieval Research (IJIRR), 2011, vol. 1, issue 2, 18-38

Abstract: XML has become the standard way for representing and transforming data over the World Wide Web. The problem with XML documents is that they have a very high ratio of redundancy, which makes these documents demanding a large storage capacity and large network band-width for transmission. This study designs a system for compressing and querying XML documents (XMLCQ) which compresses the XML document without the need to its schema or DTD to minimize the amount of technologies associated with these documents. XMLCQ first compressed the XML document by separating its data into containers according to the path of these data from the root to the leaf, then it compressed these containers using a back-end compression technique. The compressed file then could be retrieved with any kind of queries applied. Only the required information is decompressed and submitted to the user. Depending on several experiments, the query processor part of the system showed the ability to answer different kinds of queries ranging from simple exact match queries to complex ones. Furthermore, this paper introduced the idea of retrieving information from more than one compressed XML documents.

Date: 2011
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 018/ijirr.2011070102 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jirr00:v:1:y:2011:i:2:p:18-38

Access Statistics for this article

International Journal of Information Retrieval Research (IJIRR) is currently edited by Zhongyu Lu

More articles in International Journal of Information Retrieval Research (IJIRR) from IGI Global
Bibliographic data for series maintained by Journal Editor ().

 
Page updated 2025-03-19
Handle: RePEc:igg:jirr00:v:1:y:2011:i:2:p:18-38