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2010 IEEE International Conference on Bioinformatics and Bioengineering
Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration
Philadelphia, Pennsylvania USA
May 31-June 03
ISBN: 978-0-7695-4083-2
ASCII Text
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Tantan Liu, Fan Wang, Gagan Agrawal, "Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration," 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE), pp. 304-305, 2010 IEEE International Conference on Bioinformatics and Bioengineering, 2010.
 
 
BibTex
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@article{ 10.1109/BIBE.2010.65,
author = {Tantan Liu and Fan Wang and Gagan Agrawal},
title = {Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration},
journal ={2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)},
volume = {0},
year = {2010},
isbn = {978-0-7695-4083-2},
pages = {304-305},
doi = {http://doi.ieeecomputersociety.org/10.1109/BIBE.2010.65},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
TI - Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration
SN - 978-0-7695-4083-2
SP304
EP305
A1 - Tantan Liu,
A1 - Fan Wang,
A1 - Gagan Agrawal,
PY - 2010
KW - Deep Web
KW - Schema Matching
VL - 0
JA - 2012 IEEE 12th International Conference on Bioinformatics & Bioengineering (BIBE)
ER -
 
We presents data mining-based techniques for enabling data integration across deep web data sources. We target query processing across inter-dependent data sources. Thus, besides input-input and output-output matching of attributes, we also need to consider input-output matching. We develop data mining techniques for discovering the instances for querying deep web data sources from the information provided by the query interfaces themselves, as well as from the obtained output pages of the related data sources, by query probing using dynamically identified input instances. Then, using a hierarchical representation of schemas and by applying clustering techniques, we are able to generate schema matches. We show the effectiveness of our technique while integrating 24 query interfaces.
Index Terms:
Deep Web, Schema Matching
Citation:
Tantan Liu, Fan Wang, Gagan Agrawal, "Instance Discovery and Schema Matching with Applications to Biological Deep Web Data Integration," bibe, pp.304-305, 2010 IEEE International Conference on Bioinformatics and Bioengineering, 2010
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