Volume 7 Number 8 (Aug. 2012)
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JSW 2012 Vol.7(8): 1759-1766 ISSN: 1796-217X
doi: 10.4304/jsw.7.8.1759-1766

The Research on XML Filtering Model using Lazy DFA

Zhao Heji1, Xia Weijian1, and Zhao Jiasheng2
1School of Computer Science and Technology,Shandong University, Jinan, China
2School of Mechanical,Electrical & Information Engineering,Shandong University At Weihai,Weihai,China

Abstract—Parsing the XML document is generally accepted to be a major bottleneck in XML processing,especially when meeting the invalid elements,it will reduce the parsing's efficiency.In order to skip the invalid elements of the XML document,we propose a new XML filtering method based on hash table and stream index.The hash table stores the location information of elements, in order to judge the relationships of elements; the stream index locates the elements accurately, in order to skip the invalid elements quickly.We apply them to lazy DFA and get experimental results. The experimental results show that our method has a good filtering performance,which can improve the efficiency obviously.

Index Terms—XML;Hash Table;Stream index;Filtering


Cite: Zhao Heji, Xia Weijian, and Zhao Jiasheng, "The Research on XML Filtering Model using Lazy DFA," Journal of Software vol. 7, no. 8, pp. 1759-1766, 2012.

General Information

ISSN: 1796-217X (Online)
Frequency:  Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
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