Towards web-scale structured web data extraction

Grigalis, Tomas

doi:10.1145/2433396.2433491

Use this URL to cite this publication: https://hdl.handle.net/20.500.14911/143224

Towards web-scale structured web data extraction

Details

Publication Type (CRIS)

Straipsnis recenzuojamoje užsienio tarptautinės konferencijos medžiagoje / Article in peer-reviewed foreign international conference proceedings (P1d)

Publication Type (eLABa)

Straipsnis recenzuotame konferencijos darbų leidinyje / Article published in peer-reviewed conference proceedings (P1d)

Author(s)

Title

Towards web-scale structured web data extraction

[en]

Tomas Grigalis

Is part of

Web Search and Data Mining (WSDM'13) : proceedings of the sixth ACM international conference

Published In

Year	Start Page	End Page
2013	753	758

Publisher

New York : ACM, 2013

Extent

p. 753-758

URI

URI
https://hdl.handle.net/20.500.14911/143224

DOI

10.1145/2433396.2433491

Cited references

Science / Art Area

Technologijos mokslai / Technological sciences (T)

Field of Science / Art

Informatikos inžinerija / Informatics engineering (T007)

Abstract (en)

In this paper we present an ongoing PhD research on unsupervised and domain-independent structured data extraction from the Web. We propose a novel method to extract structured data records from template-generated Web pages. The method is based on clustering visually similar Web page elements by exploiting their visual formatting and HTML structural features. Tag paths of clustered Web page elements are then employed to derive extraction rules. These rules, called wrappers, can be later reused on thousands of same template-generated Web pages. This opens the possibility for the proposed method to be deployed in Web-Scale structured data extraction systems.