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Transforming Web Tables to a Relational Database

descriptionPublicationkeyboard_double_arrow_right Article 01 Aug 2014 United States Publisher:IEEEJournal:2014 22nd International Conference on Pattern Recognition

Authors: Embley, David W.; Nagy, George; Seth, Sharad C.;

doi: 10.1109/icpr.2014.479

Transforming Web Tables to a Relational Database

- Summary
- Subjects
- Metrics

Abstract

HTML tables represent a significant fraction of web data. The often complex headers of such tables are determined accurately using their indexing property. Isolated headers are factored to extract category hierarchies. Web tables are then transformed into a canonical form and imported into a relational database. The proposed processing allows for the formulation of arbitrary SQL queries over the collection of induced relational tables.

Country

United States

Related Organizations

Rensselaer Polytechnic Institute
United States
Brigham Young University Idaho
United States
University of Nebraska System
United States

Keywords

000, Computer Sciences, table segmentation, Electrical and Computer Engineering, 004, header paths, relational table SQL queries, Computer Engineering, Wang categories, Other Computer Sciences

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	12
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%