ACM Home Page
Please provide us with feedback. Feedback
On boosting holism in XML twig pattern matching using structural indexing techniques
Full text PdfPdf (531 KB)
Source International Conference on Management of Data archive
Proceedings of the 2005 ACM SIGMOD international conference on Management of data table of contents
Baltimore, Maryland
SESSION: Research papers: XML processing table of contents
Pages: 455 - 466  
Year of Publication: 2005
ISBN:1-59593-060-4
Authors
Ting Chen  National University of Singapore, Singapore
Jiaheng Lu  National University of Singapore, Singapore
Tok Wang Ling  National University of Singapore, Singapore
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 75,   Citation Count: 17
Additional Information:

abstract   references   cited by   collaborative colleagues  

Tools and Actions: Review this Article  
Save this Article to a Binder    Display Formats: BibTex  EndNote ACM Ref   
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1066157.1066209
What is a DOI?

ABSTRACT

Searching for all occurrences of a twig pattern in an XML document is an important operation in XML query processing. Recently a holistic method TwigStack. [2] has been proposed. The method avoids generating large intermediate results which do not contribute to the final answer and is CPU and I/O optimal when twig patterns only have ancestor-descendant relationships. Another important direction of XML query processing is to build structural indexes [3][8][13][15] over XML documents to avoid unnecessary scanning of source documents. We regard XML structural indexing as a technique to partition XML documents and call it streaming scheme in our paper. In this paper we develop a method to perform holistic twig pattern matching on XML documents partitioned using various streaming schemes. Our method avoids unnecessary scanning of irrelevant portion of XML documents. More importantly, depending on different streaming schemes used, it can process a large class of twig patterns consisting of both ancestor-descendant and parent-child relationships and avoid generating redundant intermediate results. Our experiments demonstrate the applicability and the performance advantages of our approach.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
2
3
 
4
T. Chen, T. W. Ling, and C. Y. Chan. Prefix path streaming: a new clustering method for optimal XML twig pattern matching. In Proceedings of DEXA 2004, pages 801--811, 2004.
5
 
6
B. Choi, M. Mahoui, and D. Wood. On the optimality of the holistic twig join algorithms. In In Proceeding of DEXA 2003, pages 28--37, 2003.
 
7
 
8
9
 
10
H. Jiang, W. Wang, H. Lu, and J. X. Yu. Holistic twig joins on indexed XML documents. In In Proceeding of VLDB 2003, pages 273--284, 2003.
11
12
 
13
14
 
15
 
16
University of Washington XML Repository. http://www.cs.washington.edu/research/xmldatasets/.
 
17
Y. Wu, J. M. Patel, and H. V. Jagadish. Structural join order selection for XML query optimization. In Proceedings of ICDE 2003, pages 443--454, 2003.
 
18
XMARK. http://monetdb.cwi.nl/xml.
 
19
XPath. http://www.w3.org/TR/xpath.
20

CITED BY  17
 
 
 
 
 
 
 
 
 
 
 
Collaborative Colleagues:
Ting Chen: colleagues
Jiaheng Lu: colleagues
Tok Wang Ling: colleagues