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OXPath: little language, little memory, great value.

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...

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Publisher copy:
10.1145/1963192.1963304

Authors


Sellers, AJ More by this author
Gottlob, G More by this author
Schallhart, C More by this author

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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:

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