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7997.pdf (1.62 MB)
ETD Abstract Container
Abstract Header
A Framework for XML Index Selection
Author Info
Goyal, Anushree
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426003
Abstract Details
Year and Degree
2013, MS, University of Cincinnati, Engineering and Applied Science: Computer Science.
Abstract
Data on the web is increasingly being made available in a semi-structured format which presents some challenges for effective extraction of information [ABS00]. Semi-structured data is not rigidly formatted, i.e., it is not strictly table-oriented as in a relational model or other conventional database systems [A97]. The structural or hierarchical relationship between elements in semi-structured data typically needs to be preserved. In traditional databases, the records do not bear any inherent ordering or structural relationships. Moreover, traditional database schemas are not contained within the data itself. Owing to these reasons, one challenge is to store semi-structured data efficiently and another is to query this data effectively. A data model for representing such data is the XML data model [XML]. It supports modeling both the structure and the data contained within it. There are several methods of querying XML data. While some methods use XML data in its native format, others transform it into another format before it can be queried. However, there is an absence of a common ground where an informed decision can be made about the selection of the best query method. There is a need to make this decision based on the comparison of significant factors or parameters for each query method in order to confirm that the selection of a query technique is expected to perform better than another technique. Based on Richardson's algorithm [R09], our work focuses on implementing this recommendation in a cost-effective manner to result in the selection of an appropriate query technique pertaining to the given scenario.
Committee
Karen Davis, Ph.D. (Committee Chair)
Raj Bhatnagar, Ph.D. (Committee Member)
Carla Purdy, Ph.D. (Committee Member)
Pages
88 p.
Subject Headings
Computer Science
Keywords
XML
;
XPATH
;
query
;
cost-effective
;
index selection
;
optimization
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Citations
Goyal, A. (2013).
A Framework for XML Index Selection
[Master's thesis, University of Cincinnati]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426003
APA Style (7th edition)
Goyal, Anushree.
A Framework for XML Index Selection.
2013. University of Cincinnati, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426003.
MLA Style (8th edition)
Goyal, Anushree. "A Framework for XML Index Selection." Master's thesis, University of Cincinnati, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1384426003
Chicago Manual of Style (17th edition)
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Document number:
ucin1384426003
Download Count:
464
Copyright Info
© 2013, all rights reserved.
This open access ETD is published by University of Cincinnati and OhioLINK.