Knowledge Management Group

Ke Geng got his first Masters degree of Computer Networks in China. When he moved to New Zealand, he changed his major to database management and gained a Masters degree from the University of Auckland in 2006. Now he is working on his PhD research with Professor Gillian Dobbie.

• database management
• XML
• data classification
• benchmarks
• networks

XML semantic query optimization is the method that optimizes the XML query execution based on the semantic information, which is abstracted from the XML document. In our research, elements in an XML document will be classified based on the value distributions of their subelements. With the classification information, XML query execution can be optimized in three areas:

• Block un-result queries
• Simplify the query conditions by removing redundant query conditions
• Reduce query searching area by introducing an extra query condition

Conference:

Geng, K., & Dobbie, G.C.. (2006). An XML document generator for semantic query optimization experimentation. Yogyakarta, Indonesia, IIWAS.

Geng, K., & Dobbie, G.C.. (2007). Element classification based transformation of xml queries. Jakarta, Indonesia, IIWAS.

Geng, K., & Dobbie, G.C.. (2008). Using data in the transformation of xml queries. Christchurch, New Zealand, 2008. NZCSRSC.

Geng, K., & Dobbie, G.C.. (2009). Classifying Elements for XML Query Transformation. St. Petersburg, Russia. SYRCoDIS2009.

Geng, K., & Dobbie, G.C.. (2009). Survey of XML Semantic Query Optimization. Harbin, China. ICICSE09.

Meng, Y., Yin, G., & Geng, K.. (2009). Research on Ontology Security Strategy of Security Data Integrity. Harbin, China, ICICSE09.

Journal:

Geng, K., & Dobbie, G.C.. (2007). An XML document generator for semantic query optimization experimentation. International Journal of Web Information Systems.

Geng, K., & Dobbie, G.C.. (2008). Element Classification Based Transformation of XML Queries. International Journal of Web Information Systems.