Title :
Structural Join Oriented XML Data Compression
Author :
Dongping Wei ; Xiangli Wei
Author_Institution :
Comput. Sci. & Technol, China Univ. of Pet., Tsingtao, China
Abstract :
Aiming at the problem of failing to support effective structural join on compressed data of existing XML Data compressors, this paper proposes a new Compressor Structural Join Oriented XML Data Compressor which makes structural join possible by giving all elements and attribute names in document a unique region encoding. This paper also provides a definition of the Same Sub Tree(SST) and an algorithm of merging the SSTs. An experimental evaluation on the typical XML datasets shows the efficiency of SJXC.
Keywords :
XML; data compression; document handling; encoding; SJXC efficiency; SST; SST algorithm; XML data compressors; XML datasets; region encoding; same subtree; structural join oriented XML data compression; Algorithm design and analysis; Compressors; Containers; Data compression; Dictionaries; Encoding; XML; XML; compression; structural join; the Same SubTree;
Conference_Titel :
Software Engineering (WCSE), 2012 Third World Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4673-4546-0
DOI :
10.1109/WCSE.2012.14