DocumentCode :
2656872
Title :
Lazy DFA filter based on stream index for XML data streams
Author :
Zhang, Li-Li ; Zhao, He-Ji ; Xia, Wei-Jian
Author_Institution :
Coll. of Comput. Sci. & Technol., Shandong Univ., Jinan, China
Volume :
3
fYear :
2010
fDate :
17-19 Sept. 2010
Abstract :
Lazy DFA (Deterministic Finite Automata) is an effective and scalable filtering system of XML documents, but it must parse every element of every XML document. In this paper, we put forward a new method to filter XML documents, called stream index which stores index information of every XML document. By using index information, the application can skip worthless elements and their sub-elements. Therefore, the elements which match elements´ position can be quickly located, and to the largest extent, eliminating elements that are not guaranteed to be part of any match is able to avoid an amount of redundant processing. Experiments show that the proposed method is extensible, and can improve the efficiency indeed.
Keywords :
XML; finite automata; information filtering; XML data streams; XML documents; deterministic finite automata; index information; lazy DFA filter; stream index; Doped fiber amplifiers; XML; Filtering; Lazy DFA; Stream index; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Educational and Information Technology (ICEIT), 2010 International Conference on
Conference_Location :
Chongqing
Print_ISBN :
978-1-4244-8033-3
Electronic_ISBN :
978-1-4244-8035-7
Type :
conf
DOI :
10.1109/ICEIT.2010.5608398
Filename :
5608398
Link To Document :
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