Automatically extracting form labels

Hoa Nguyen; Eun Yong Kang; Juliana Freire

doi:10.1109/ICDE.2008.4497602

Automatically extracting form labels

Hoa Nguyen, Eun Yong Kang, Juliana Freire

Urban Initiative

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

Abstract

We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve and integrate data that reside in online databases and that are hidden behind form interfaces, including schema matching and clustering, and hidden-Web crawlers. Whereas previous approaches to this problem have relied on heuristics and manually specified extraction rules, our technique makes use of learning classifiers to identify form labels. Our preliminary experiments show this approach is promising and has high accuracy.

Original language	English (US)
Title of host publication	Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages	1498-1500
Number of pages	3
DOIs	https://doi.org/10.1109/ICDE.2008.4497602
State	Published - 2008
Event	2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico Duration: Apr 7 2008 → Apr 12 2008

Publication series

Name	Proceedings - International Conference on Data Engineering
ISSN (Print)	1084-4627

Other

Other	2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Country/Territory	Mexico
City	Cancun
Period	4/7/08 → 4/12/08

ASJC Scopus subject areas

Software
Signal Processing
Information Systems

Access to Document

10.1109/ICDE.2008.4497602

Cite this

Nguyen, H, Kang, EY & Freire, J 2008, Automatically extracting form labels. in Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08., 4497602, Proceedings - International Conference on Data Engineering, pp. 1498-1500, 2008 IEEE 24th International Conference on Data Engineering, ICDE'08, Cancun, Mexico, 4/7/08. https://doi.org/10.1109/ICDE.2008.4497602

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abstract = "We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve and integrate data that reside in online databases and that are hidden behind form interfaces, including schema matching and clustering, and hidden-Web crawlers. Whereas previous approaches to this problem have relied on heuristics and manually specified extraction rules, our technique makes use of learning classifiers to identify form labels. Our preliminary experiments show this approach is promising and has high accuracy.",

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year = "2008",

doi = "10.1109/ICDE.2008.4497602",

language = "English (US)",

isbn = "9781424418374",

series = "Proceedings - International Conference on Data Engineering",

pages = "1498--1500",

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AU - Freire, Juliana

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AB - We describe a machine-learning-based approach for extracting attribute labels from Web form interfaces. Having these labels is a requirement for several techniques that attempt to retrieve and integrate data that reside in online databases and that are hidden behind form interfaces, including schema matching and clustering, and hidden-Web crawlers. Whereas previous approaches to this problem have relied on heuristics and manually specified extraction rules, our technique makes use of learning classifiers to identify form labels. Our preliminary experiments show this approach is promising and has high accuracy.

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BT - Proceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08

T2 - 2008 IEEE 24th International Conference on Data Engineering, ICDE'08

Y2 - 7 April 2008 through 12 April 2008

ER -

Automatically extracting form labels

Abstract

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ASJC Scopus subject areas

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