Accelerating XPath location steps
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Accurately and reliably extracting data from the Web: a machine learning approach
Intelligent exploration of the web
Mining association rules from XML data using XQuery
ACSW Frontiers '04 Proceedings of the second workshop on Australasian information security, Data Mining and Web Intelligence, and Software Internationalisation - Volume 32
ORDPATHs: insert-friendly XML node labels
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
TJFast: effective processing of XML twig pattern matching
WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
MonetDB/XQuery: a fast XQuery processor powered by a relational engine
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
A Survey of Web Information Extraction Systems
IEEE Transactions on Knowledge and Data Engineering
XML subtree reconstruction from relational storage of XML documents
Data & Knowledge Engineering
Xpath on steroids: exploiting relational engines for xpath performance
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Why off-the-shelf RDBMSs are better at XPath than you might expect
Proceedings of the 2007 ACM SIGMOD international conference on Management of data
Data Management in the Worldwide Sensor Web
IEEE Pervasive Computing
Staircase join: teach a relational DBMS to watch its (axis) steps
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Indexing XML data stored in a relational database
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
Synthesizing Context for a Sports Domain on a Mobile Device
EuroSSC '08 Proceedings of the 3rd European Conference on Smart Sensing and Context
Metamodel-Based Optimisation of XPath Queries
BNCOD 26 Proceedings of the 26th British National Conference on Databases: Dataspace: The Final Frontier
Open information extraction from the web
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
A query service for raw sensor data
EuroSSC'09 Proceedings of the 4th European conference on Smart sensing and context
Classification of index partitions to boost XML query performance
ER'10 Proceedings of the 29th international conference on Conceptual modeling
Logic-Based association rule mining in XML documents
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Improving the efficiency of XPath execution on relational systems
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Bridging physical and virtual worlds: complex event processing for RFID data streams
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
A formalism of XML restructuring operations
ASWC'06 Proceedings of the First Asian conference on The Semantic Web
Semantic streams: a framework for composable semantic interpretation of sensor data
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
Knowledge acquisition from sensor data in an equine environment
DaWaK'11 Proceedings of the 13th international conference on Data warehousing and knowledge discovery
Topological XML data cube construction
International Journal of Web Engineering and Technology
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The Web continues to offer new services and in doing so, generates large volumes of new data. The concept of the Sensor Web has led to web generated sensor data becoming available not only to the companies that own the sensors but also to end users and knowledge workers. Applications vary from climate, traffic and sports event monitoring. In one application that provides an availability service for bicycle rentals in major cities, large volumes of data are collected for data mining purposes. All transactions are recorded and stored in XML format leading to performance issues as volumes increase. In this paper, we apply a new optimization technique to boosting the performance of XML queries on Sensor Web data.