Multi-dimensional Indexing For XML Data
| dc.contributor | Kim, Do Youn | en_US |
| dc.date.accessioned | 2007-08-23T01:56:41Z | |
| dc.date.accessioned | 2011-08-24T21:40:29Z | |
| dc.date.available | 2007-08-23T01:56:41Z | |
| dc.date.available | 2011-08-24T21:40:29Z | |
| dc.date.issued | 2007-08-23T01:56:41Z | |
| dc.date.submitted | November 2005 | en_US |
| dc.description.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. | en_US |
| dc.identifier.uri | http://hdl.handle.net/10106/417 | |
| dc.language.iso | EN | en_US |
| dc.publisher | Computer Science & Engineering | en_US |
| dc.title | Multi-dimensional Indexing For XML Data | en_US |
| dc.type | M.S.E. | en_US |