XPath Containment in the Presence of Disjunction, DTDs, and Variables
ICDT '03 Proceedings of the 9th International Conference on Database Theory
Efficient Indexing Structures for Mining Frequent Patterns
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Incremental Mining of Frequent XML Query Patterns
ICDM '04 Proceedings of the Fourth IEEE International Conference on Data Mining
XPath satisfiability in the presence of DTDs
Proceedings of the twenty-fourth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Rewriting XPath queries using materialized views
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Query caching and view selection for XML databases
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Representing and querying XML with incomplete information
ACM Transactions on Database Systems (TODS)
XPath Selectivity Estimation for a Mobile Auction Application
IDEAS '07 Proceedings of the 11th International Database Engineering and Applications Symposium
Efficient mining of XML query patterns for caching
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Segmentation-Based Caching for Mobile Auctions
Proceedings of the 2008 conference on Techniques and Applications for Mobile Commerce: Proceedings of TAMoCo 2008
Distributed and Parallel Databases
Managing a fragmented XML data cube with oracle and timesten
Proceedings of the fifteenth international workshop on Data warehousing and OLAP
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We present an XML data exchange technique suitable for mobile commerce systems involving thousands of mobile users and massive data loads. A key idea of our technique is that it is based on an XML information repository that is logically split into several disjoint data fragments. Thus, each mobile user's device can determine those parts of the information repository that are required for answering a given query locally at the device. The benefit of this local query processing is that our technique allows participating user devices to make their cached data fragments available to other participating devices and relieves the central information repository, resulting in a significant reduction of the overall data transfer and improved query response times. Furthermore, we provide an experimental evaluation showing that our technique outperforms other data exchange techniques in terms of both, data transfer and query response times. Special to our experiments, we simulate a changing user interest in the course of the experiments to capture a real world mobile commerce user behavior in a scenario with a high load of users and data.