XMill: an efficient compressor for XML data
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Query optimization in compressed database systems
SIGMOD '01 Proceedings of the 2001 ACM SIGMOD international conference on Management of data
XPath Containment in the Presence of Disjunction, DTDs, and Variables
ICDT '03 Proceedings of the 9th International Conference on Database Theory
XPRESS: a queriable compression for XML data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
XGRIND: A Query-Friendly XML Compressor
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Path sharing and predicate evaluation for high-performance XML filtering
ACM Transactions on Database Systems (TODS)
Containment and equivalence for a fragment of XPath
Journal of the ACM (JACM)
On the integration of structure indexes and inverted lists
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Bloom Filter-Based XML Packets Filtering for Millions of Path Queries
ICDE '05 Proceedings of the 21st International Conference on Data Engineering
Structure and content scoring for XML
VLDB '05 Proceedings of the 31st international conference on Very large data bases
Comparative Analysis of XML Compression Technologies
World Wide Web
Path queries on compressed XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Towards an internet-scale XML dissemination service
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
MQX: multi-query engine for compressed XML data
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
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XML is a de-facto standard for exchanging and presenting information on the Web. However, XML data is also recognized as verbose since it heavily inflates the size of the data due to the repeated tags and structures. The data verbosity problem gives rise to many challenges of conventional distributed database technologies. In this paper, we study the XML dissemination problem over the Internet, where the speed of information delivery can be rather slow in a server-client architecture which consists of a large number of geographically spanned users who access a large amount of correlated XML information. The problem becomes more severe when the users access closely related XML fragments, and in this case the usage of bandwidth is inefficient. In order to save bandwidth and process the queries efficiently, we propose an architecture that incorporates XML compression techniques and exploits the results of XPath containment. Within our framework, we demonstrate that the loading of the server is reduced, the network bandwidth can be more efficiently used and, consequently, all clients as a whole can benefit due to savings of various costs.