NDLI: XML Tree Structure Compression

Content Provider	IEEE Xplore Digital Library
Author	Maneth, S. Mihaylov, N. Sakr, S.
Copyright Year	2008
Description	Author affiliation: NICTA & Univ. of New South Wales, Sydney, NSW (Maneth, S.; Mihaylov, N.; Sakr, S.)
Abstract	In an XML document a considerable fraction consists of markup, that is, begin and end-element tags describing the document's tree structure. XML compression tools such as XMill separate the tree structure from the data content and compress each separately. The main focus in these compression tools is how to group similar data content together prior to performing standard data compression such as gzip, bzip2, or ppm. In contrast, the focus of this paper is on compressing the tree structure part of an XML document. We use a known algorithm to derive a grammar representation of the tree structure which factors out the repetition of tree patterns. We then investigate several succinct binary encodings of these grammars. Our experiments show that we can be consistently smaller than the tree structure compression carried out by XMill, using the same backend compressors as XMill on our encodings. However, the most surprising result is that our own Huffman-like encoding of the grammars (without any backend compressor whatsoever) consistently outperforms XMill with gzip backend. This is of particular interest because our Huffman-like encoding can be queried without prior decompression. To the best of our knowledge this offers the smallest queriable XML tree structure representation currently available.
Starting Page	243
Ending Page	247
File Size	261246
Page Count	5
File Format	PDF
ISBN	9780769532998
ISSN	15294188
DOI	10.1109/DEXA.2008.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-01
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	XML Encoding Compressors Binary trees Pediatrics Sections Algorithm design and analysis queriable tree structure compression
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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