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Little Knowledge Rules the Web: Domain-Centric Result Page Extraction.

Abstract:

Web extraction is the task of turning unstructured HTML into structured data. Previous approaches rely exclusively on detecting repeated structures in result pages. These approaches trade intensive user interaction for precision. In this paper, we introduce the Amber ("Adaptable Model-based Extraction of Result Pages") system that replaces the human interaction with a domain ontology applicable to all sites of a domain. It models domain knowledge about (1) records and attributes of the domain...

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Publisher copy:
10.1007/978-3-642-23580-1_6

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Role:
Editor
Role:
Editor
Publisher:
Springer Publisher's website
Journal:
RR
Volume:
6902
Pages:
61-76
Publication date:
2011-01-01
DOI:
EISSN:
1611-3349
ISSN:
0302-9743
URN:
uuid:871b8f66-aa88-4744-a09c-b2ea8d54ab99
Source identifiers:
305508
Local pid:
pubs:305508
Language:
English

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