The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 53-573
Full Name: RADHA SENTHILKUMAR
Position: Assistant Professor
Age: ON
Sex: Female
Address: IT DEPARTMENT,MIT, ANNA UNIVERISTY
Country: INDIA
Tel: 9884159414
Tel prefix:
Fax:
E-mail address: radhasenthil@annauniv.edu
Other E-mails: radhasenthilkumar@gmail.com
Title of the Paper: BIT MASK BASED COMPRESSION FOR QUICX SYSTEM
Authors as they appear in the Paper: Radha senthilkumar, A.Kannan
Email addresses of all the authors: radhasenthil@annauniv.edu
Number of paper pages: 15
Abstract: XML is widely deployed over the Internet for a prevalent tasks, including configuration files, protocols, and web services. In XML, simple messages can be quite large due to verbose syntax. The two major constraints in XML application is its size and querying efficiency. This paper proposes a scheme to increase the compression ratio and querying effectiveness of QUICX (Compression with Indexing in Query optimized XML) system by applying a bitmask based compression algorithm instead of using LZW compression. The proposed algorithm carries over the data containers present in the system for increasing the compression ratio and improves the querying efficiency of the QUICX systems by carrying out indexing based on node and its contents. In conventional LZW compression, the repetitive contents are replaced by corresponding code that is available in the dictionary. On encountering new contents, corresponding code is created and entered in to the dictionary and to the com!
pressed file. The dictionary size is increased for the file containing more non-repetitive words. This drawback is averted using bitmask based compression and the results are drawn showing the efficiency of the proposed system.
Keywords: XML compression, QUICX, Bit-mask compression, LZW compression, querying efficiency
EXTENSION of the file: .pdf
Special (Invited) Session: XML compression, QUICX, Bit-mask compression, LZW compression, querying efficiency
Organizer of the Session:
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