xml compression
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2018 ◽  
pp. 4742-4748
Author(s):  
Dan Suciu ◽  
Jayant R. Haritsa
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Author(s):  
Dan Suciu ◽  
Jayant R. Haritsa
Keyword(s):  

Author(s):  
Tomasz Müldner ◽  
Jan Krzysztof Miziołek ◽  
Tyler Corbin
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2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Radha Senthilkumar ◽  
Gomathi Nandagopal ◽  
Daphne Ronald

The verbose nature of XML has been mulled over again and again and many compression techniques for XML data have been excogitated over the years. Some of the techniques incorporate support for querying the XML database in its compressed format while others have to be decompressed before they can be queried. XML compression in which querying is directly supported instantaneously with no compromise over time is forced to compromise over space. In this paper, we propose the compressor, QRFXFreeze, which not only reduces the space of storage but also supports efficient querying. The compressor does this without decompressing the compressed XML file. The compressor supports all kinds of XML documents along with insert, update, and delete operations. The forte of QRFXFreeze is that the textual data are semantically compressed and are indexed to reduce the querying time. Experimental results show that the proposed compressor performs much better than other well-known compressors.


2014 ◽  
Vol 57 (4) ◽  
pp. 1322-1371 ◽  
Author(s):  
Mireille Bousquet-Mélou ◽  
Markus Lohrey ◽  
Sebastian Maneth ◽  
Eric Noeth

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