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Generic and effective semi-structured keyword search
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International Conference on Management of Data archive
Proceedings of the First International Workshop on Keyword Search on Structured Data table of contents
Providence, Rhode Island
POSTER SESSION: Demos and posters table of contents
Pages 45-46  
Year of Publication: 2009
ISBN:978-1-60558-570-3
Authors
Arash Termehchy  University of Illinois, Urbana IL
Marianne Winslett  University of Illinois, Urbana IL
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGMOD: ACM Special Interest Group on Management of Data
SIGART: ACM Special Interest Group on Artificial Intelligence
Publisher
ACM  New York, NY, USA
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ABSTRACT

Current semi-structured keyword search and natural language query processing systems use ad hoc approaches to take advantage of structural information. Although intuitive, they are ultimately ad hoc. We have developed the concept of coherency ranking based on the statistical properties of data to rank the keyword search results. We demonstrate how the coherency ranking works for two real-world XML databases and show its advantages over the previously proposed XML keyword search methods.


REFERENCES

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A. Termehchy and M. Winslett. Effective Ranking of XML Keyword Search Results (Extended Version), University of Illinois, UIUCDCS-R-2009-3043, 2009.

Collaborative Colleagues:
Arash Termehchy: colleagues
Marianne Winslett: colleagues