Graduation Semester and Year
2005
Language
English
Document Type
Thesis
Degree Name
Master of Science in Computer Science
Department
Computer Science and Engineering
First Advisor
Ramez Elmasri
Abstract
The Extensible Markup Language (XML) is becoming a dominant standard for exchanging and retrieving data over the internet. As XML in data exchanging grows, various XML indexing techniques have been proposed for fast and efficient query processing. A survey of theses techniques [9] categorized them into sequence-based indexes, structural indexes, dimension-based indexes and keyword-based indexes based on their properties. In this thesis, we focus on the multi-dimensional XML indexing; more precisely, it can be categorized as a 2-dimension based indexing, which is used in this paper. We studied the properties of multi-dimensional XML indexing and created an implementation to evaluate its performance. It performs well with arbitrary path expressions and retrieves results from a relational database, which is stable and safe. We also compare the performance of the 2-dimensional indexing with the structure based indexing, which stores summary information of XML documents' tree nodes in main memory.
Disciplines
Computer Sciences | Physical Sciences and Mathematics
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Kim, Do Youn, "Multi-dimensional Indexing For XML Data" (2005). Computer Science and Engineering Theses. 140.
https://mavmatrix.uta.edu/cse_theses/140
Comments
Degree granted by The University of Texas at Arlington