XRel: a path-based approach to storage and retrieval of XML documents using relational databases
ACM Transactions on Internet Technology (TOIT)
Path materialization revisited: an efficient storage model for XML data
ADC '02 Proceedings of the 13th Australasian database conference - Volume 5
Efficient Relational Storage and Retrieval of XML Documents
Selected papers from the Third International Workshop WebDB 2000 on The World Wide Web and Databases
XParent: An Efficient RDBMS-Based XML Database System
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
A Generic Load/Extract Utility for Data Transfer between XML Documents and Relational Databases
WECWIS '00 Proceedings of the Second International Workshop on Advance Issues of E-Commerce and Web-Based Information Systems (WECWIS 2000)
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Extensible markup language (XML) has become an active research topic in recent years. Many excellent model-mapping-schema-based approaches have been proposed to translate and manipulate XML documents in relational databases. However, most previous work has a potential performance problem for retrieving XML data from a relational database, because a large number of join operations are needed. In this paper, we introduce a new model-mapping-schema-based approach, called XPred, to reduce significant join costs for providing real-time access to XML data. The basic idea is to store the structural information distributely into nodes to reduce the number of join operations when processing user queries. In particular, for every node in a given XML document, we store its predecessor's information within itself. It can eliminate the join operations for parent-child traversing such that the performance of query processing can be improved. The capability of our proposed approach was verified by a series of simulation experiments based on the XMark [1][2], for which we have some encouraging experimental results.