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Mining web interactions to automatically create mash-ups
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Symposium on User Interface Software and Technology archive
Proceedings of the 22nd annual ACM symposium on User interface software and technology table of contents
Victoria, BC, Canada
SESSION: A.I./U.I. table of contents
Pages 203-212  
Year of Publication: 2009
ISBN:978-1-60558-745-5
Authors
Jeffrey P. Bigham  University of Rochester, Rochester, NY, USA
Ryan S. Kaminsky  University of Washington, Seattle, WA, USA
Jeffrey Nichols  IBM Almaden Reserach Center, San Jose, CA, USA
Sponsors
ACM: Association for Computing Machinery
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
Publisher
ACM  New York, NY, USA
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ABSTRACT

The deep web contains an order of magnitude more information than the surface web, but that information is hidden behind the web forms of a large number of web sites. Metasearch engines can help users explore this information by aggregating results from multiple resources, but previously these could only be created and maintained by programmers. In this paper, we explore the automatic creation of metasearch mash-ups by mining the web interactions of multiple web users to find relations between query forms on different web sites. We also present an implemented system called TX2 that uses those connections to search multiple deep web resources simultaneously and integrate the results in context in a single results page. TX2 illustrates the promise of constructing mash-ups automatically and the potential of mining web interactions to explore deep web resources.


REFERENCES

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