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CIKM
2009
Springer
15 years 11 months ago
Probabilistic models for topic learning from images and captions in online biomedical literatures
Biomedical images and captions are one of the major sources of information in online biomedical publications. They often contain the most important results to be reported, and pro...
Xin Chen, Caimei Lu, Yuan An, Palakorn Achananupar...
JAIR
2008
173views more  JAIR 2008»
15 years 6 months ago
Creating Relational Data from Unstructured and Ungrammatical Data Sources
In order for agents to act on behalf of users, they will have to retrieve and integrate vast amounts of textual data on the World Wide Web. However, much of the useful data on the...
Matthew Michelson, Craig A. Knoblock
WWW
2005
ACM
16 years 7 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...
KDD
2007
ACM
155views Data Mining» more  KDD 2007»
16 years 7 months ago
Mining templates from search result records of search engines
Metasearch engine, Comparison-shopping and Deep Web crawling applications need to extract search result records enwrapped in result pages returned from search engines in response ...
Hongkun Zhao, Weiyi Meng, Clement T. Yu
CIKM
2009
Springer
16 years 1 months ago
Identifying interesting assertions from the web
How can we cull the facts we need from the overwhelming mass of information and misinformation that is the Web? The TextRunner extraction engine represents one approach, in which ...
Thomas Lin, Oren Etzioni, James Fogarty