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|Title:||Building XML data warehouse based on frequent patterns in user queries||Authors:||Zhang, J.
|Issue Date:||2003||Citation:||Zhang, J.,Ling, T.W.,Bruckner, R.M.,Tjoa, A.M. (2003). Building XML data warehouse based on frequent patterns in user queries. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2737 : 99-108. ScholarBank@NUS Repository.||Abstract:||With the proliferation of XML-based data sources available across the Internet, it is increasingly important to provide users with a data warehouse of XML data sources to facilitate decision-making processes. Due to the extremely large amount of XML data available on web, unguided warehousing of XML data turns out to be highly costly and usually cannot well accommodate the users' needs in XML data acquirement. In this paper, we propose an approach to materialize XML data warehouses based on frequent query patterns discovered from historical queries issued by users. The schemas of integrated XML documents in the warehouse are built using these frequent query patterns represented as Frequent Query Pattern Trees (FreqQPTs). Using hierarchical clustering technique, the integration approach in the data warehouse is flexible with respect to obtaining and maintaining XML documents. Experiments show that the overall processing of the same queries issued against the global schema become much efficient by using the XML data warehouse built than by directly searching the multiple data sources. © Springer-Verlag Berlin Heidelberg 2003.||Source Title:||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)||URI:||http://scholarbank.nus.edu.sg/handle/10635/39711||ISSN:||03029743|
|Appears in Collections:||Staff Publications|
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