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Published Articles >> Table of Contents >> Abstract
22nd International Conference on Data Engineering Workshops (ICDEW'06)
p. 46
A Robust Approach to Schema Matching overWeb Query Interfaces
Jin Pei, Queen's University Belfast, UK
Jun Hong, Queen's University Belfast, UK
David Bell, Queen's University Belfast, UK
Full Article Text:
 
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDEW.2006.18
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| Abstract |
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In recent years, more and more data sources are available
on the Web, where data can be accessed only via web
interfaces. To make these data sources sharable, holistic
schema matching which benefits from a large number of
schemas has attracted much attention. However, current
holistic approaches still suffer from the following limitations:
a). They are sensitive to noisy data; b). While different
types of information about attributes (e.g. attribute
names, text descriptions, domain values) have been used, it
remains an issue to effectively merge these types of information.
In this paper, we propose a re-sampling method for
handling noisy data across multiple web interfaces in the
same domain. Furthermore, we propose a novel method to
utilize different types of information about attributes, which
is robust for resolving homonyms. Our experimental results
show that our proposed methods are highly effective.
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 Additional Information
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Citation:
Jin Pei, Jun Hong, David Bell,
"A Robust Approach to Schema Matching overWeb Query Interfaces,"
icdew,
p. 46,
22nd International Conference on Data Engineering Workshops (ICDEW'06),
2006
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