Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

4-2003

Abstract

XML is a self-describing meta-language and fast emerging as a dominant standard for Web data exchange among various applications. With the tremendous growth of XML documents, an efficient storage system is required to manage them. The conventional databases, which require all data to adhere to an explicitly specified rigid schema, are unable to provide an efficient storage for tree-structured XML documents. A new data model that is specifically designed for XML documents is required. In this paper, we propose a new storage system, named Efficient Native XML Storage System (ENAXS), for large and complex XML documents. ENAXS stores all XML documents in its native format to overcome the deficiencies of the conventional databases, achieve optimal storage utilization and support efficient query processing. In addition, we propose a path-based indexing scheme which is embedded in ENAXS for fast data retrieval. We have implemented ENAXS and evaluated its performance with real data sets. Experimental results show the efficiency and scalability of the proposed system in utilizing storage space and executing various types of queries.

Keywords

Document storage, Database, XML language, World wide web, Internet

Discipline

Databases and Information Systems | Numerical Analysis and Scientific Computing

Publication

Fifth Asia Pacific Web Conference

Volume

2642

First Page

59

Last Page

70

ISBN

9783540369011

Identifier

10.1007/3-540-36901-5_6

Publisher

Springer Verlag

City or Country

Xi'an, China

Additional URL

http://doi.org/10.1007/3-540-36901-5_6

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