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Building XML Statistics for the Hidden Web Ashraf Aboulnaga
 

Summary: Building XML Statistics for the Hidden Web
Ashraf Aboulnaga
IBM Almaden Research Center
aashraf@almaden.ibm.com
Jeffrey F. Naughton
University of Wisconsin - Madison
naughton@cs.wisc.edu
ABSTRACT
There have been several techniques proposed for building
statistics for static XML data. However, very little work
has been done in the area of building XML statistics for
data sources that export XML views of data that is stored in
relational or other databases. For such data sources, we need
statistics that are built in an on-line manner, by observing
the XML queries to the data sources and their results. In
this paper, we present a technique for building on-line XML
statistics by observing the XPath queries issued to a data
source and their result sizes. These XPath queries select
parts of the virtual XML document representing the XML
view of the data at the data source. We convert these XPath

  

Source: Aboulnaga, Ashraf - School of Computer Science, University of Waterloo
Naughton, Jeffrey F. - Department of Computer Sciences, University of Wisconsin at Madison

 

Collections: Computer Technologies and Information Sciences