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» Web-scale knowledge extraction from semi-structured tables
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IJSI
2008
115views more  IJSI 2008»
11 years 1 months ago
Towards Knowledge Acquisition from Semi-Structured Content
Abstract A rich family of generic Information Extraction (IE) techniques have been developed by researchers nowadays. This paper proposes WebKER, a system for automatically extract...
Xi Bai, Jigui Sun, Haiyan Che, Lian Shi
WEBI
2004
Springer
11 years 7 months ago
Semi-Structured Complex List Extraction
The semi-structured information available in HTML and similar documents provide valuable information that can be used for information extraction applications. This information tog...
Anders Arpteg
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
11 years 5 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
WSDM
2012
ACM
252views Data Mining» more  WSDM 2012»
9 years 9 months ago
WebSets: extracting sets of entities from the web using unsupervised information extraction
We describe a open-domain information extraction method for extracting concept-instance pairs from an HTML corpus. Most earlier approaches to this problem rely on combining cluste...
Bhavana Bharat Dalvi, William W. Cohen, Jamie Call...
WWW
2010
ACM
11 years 6 months ago
Web-scale knowledge extraction from semi-structured tables
A wealth of knowledge is encoded in the form of tables on the World Wide Web. We propose a classification algorithm and a rich feature set for automatically recognizing layout tab...
Eric Crestan, Patrick Pantel
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