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» A Document Image Retrieval System
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WWW
2005
ACM
16 years 4 months ago
Thresher: automating the unwrapping of semantic content from the World Wide Web
We describe Thresher, a system that lets non-technical users teach their browsers how to extract semantic web content from HTML documents on the World Wide Web. Users specify exam...
Andrew Hogue, David R. Karger
WWW
2005
ACM
16 years 4 months ago
Learning domain ontologies for Web service descriptions: an experiment in bioinformatics
The reasoning tasks that can be performed with semantic web service descriptions depend on the quality of the domain ontologies used to create these descriptions. However, buildin...
Marta Sabou, Chris Wroe, Carole A. Goble, Gilad Mi...
132
Voted
IJCNN
2007
IEEE
15 years 10 months ago
Preference Learning for Category-Ranking based Interactive Text Categorization
— Category Ranking is a variant of the multi-label classification problem, in which, rather than performing a (hard) assignment to an object of categories from a predefined set...
Fabio Aiolli, Fabrizio Sebastiani, Alessandro Sper...
157
Voted
ADAPTIVE
2007
Springer
15 years 10 months ago
Adaptive Focused Crawling
The large amount of available information on the Web makes it hard for users to locate resources about particular topics of interest. Traditional search tools, e.g., search engines...
Alessandro Micarelli, Fabio Gasparetti
IJCNLP
2005
Springer
15 years 9 months ago
Using Multiple Discriminant Analysis Approach for Linear Text Segmentation
Research on linear text segmentation has been an on-going focus in NLP for the last decade, and it has great potential for a wide range of applications such as document summarizati...
Jingbo Zhu, Na Ye, Xinzhi Chang, Wenliang Chen, Be...