- 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...
Expand abstract - Publisher copy:
- 10.1007/978-3-642-23580-1_6
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- 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
- Copyright date:
- 2011
Journal article
Little Knowledge Rules the Web: Domain-Centric Result Page Extraction.
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