Instance discovery and schema matching with applications to biological deep web data integration

Tantan Liu; Fan Wang; Gagan Agrawal

doi:10.1007/978-3-642-15120-0_12

Instance discovery and schema matching with applications to biological deep web data integration

Tantan Liu, Fan Wang, Gagan Agrawal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

3 Scopus citations

Abstract

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.

Original language	English (US)
Title of host publication	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages	304-305
Number of pages	2
Volume	6254
DOIs	https://doi.org/10.1007/978-3-642-15120-0_12 https://doi.org/10.1109/BIBE.2010.65
State	Published - 2010
Externally published	Yes
Event	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States Duration: May 31 2010 → Jun 3 2010

Publication series

Name	10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Other

Other	10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
Country/Territory	United States
City	Philadelphia, PA
Period	5/31/10 → 6/3/10

ASJC Scopus subject areas

Biomedical Engineering
Health Informatics

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http://link.springer.com/10.1007/978-3-642-15120-0_12

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Liu, T., Wang, F., & Agrawal, G. (2010). Instance discovery and schema matching with applications to biological deep web data integration. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010 (Vol. 6254, pp. 304-305). Article 5521664 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). https://doi.org/10.1007/978-3-642-15120-0_12, https://doi.org/10.1109/BIBE.2010.65

Instance discovery and schema matching with applications to biological deep web data integration. / Liu, Tantan; Wang, Fan; Agrawal, Gagan.
10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. Vol. 6254 2010. p. 304-305 5521664 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Liu, T, Wang, F & Agrawal, G 2010, Instance discovery and schema matching with applications to biological deep web data integration. in 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. vol. 6254, 5521664, 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010, pp. 304-305, 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010, Philadelphia, PA, United States, 5/31/10. https://doi.org/10.1007/978-3-642-15120-0_12, https://doi.org/10.1109/BIBE.2010.65

Liu T, Wang F, Agrawal G. Instance discovery and schema matching with applications to biological deep web data integration. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. Vol. 6254. 2010. p. 304-305. 5521664. (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). doi: 10.1007/978-3-642-15120-0_12, 10.1109/BIBE.2010.65

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AB - 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.

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Instance discovery and schema matching with applications to biological deep web data integration

Abstract

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