- Abstract:
-
Data about everything is readily available on the web-but often only accessible through elaborate user interactions. For automated decision support, extracting that data is essential, but infeasible with existing heavy-weight data extraction systems. In this demonstration, we present OXPath, a novel approach to web extraction, with a system that supports informed job selection and integrates information from several different web sites. By carefully extending XPath, OXPath exploits its famili...
Expand abstract - Publisher copy:
- 10.1145/1963192.1963304
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- Role:
- Editor
- Role:
- Editor
- Role:
- Editor
- Role:
- Editor
- Role:
- Editor
- Publisher:
- ACM Publisher's website
- Journal:
- WWW (Companion Volume)
- Pages:
- 261-264
- Publication date:
- 2011
- DOI:
- URN:
-
uuid:a9d644a7-3a1b-4005-bc57-38404654a6f5
- Source identifiers:
-
303645
- Local pid:
- pubs:303645
- Language:
- English
- Keywords:
- Copyright date:
- 2011
Journal article
OXPath: little language, little memory, great value.
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Authors
Contributors
+ Srinivasan, S
+ Ramamritham, K
+ Kumar, A
+ Ravindra, MP
+ Bertino, E
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