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» Learning Classifiers from Semantically Heterogeneous Data
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BIBM
2008
IEEE
107views Bioinformatics» more  BIBM 2008»
14 years 3 months ago
A Functional Network of Yeast Genes Using Gene Ontology Information
In the post-genomic era, the organization of genes into networks has played an important role in characterizing the functions of individual genes and the interplay between them. I...
Erliang Zeng, Giri Narasimhan, Lisa Schneper, Kala...
SUM
2007
Springer
14 years 2 months ago
Managing Uncertainty in Schema Matcher Ensembles
Schema matching is the task of matching between concepts describing the meaning of data in various heterogeneous, distributed data sources. With many heuristics to choose from, sev...
Anan Marie, Avigdor Gal
ICDE
2000
IEEE
115views Database» more  ICDE 2000»
14 years 10 months ago
TheaterLoc: Using Information Integration Technology to Rapidly Build Virtual Applications
Although there has been much written about various information integration technologies, little has been said regarding how to combine these technologies together to build an enti...
Greg Barish, Yi-Shin Chen, Dan DiPasquo, Craig A. ...
CSIE
2009
IEEE
14 years 3 months ago
Building a General Purpose Cross-Domain Sentiment Mining Model
Building a model using machine learning that can classify the sentiment of natural language text often requires an extensive set of labeled training data from the same domain as t...
Matthew Whitehead, Larry Yaeger
WWW
2007
ACM
14 years 9 months ago
Mapping-driven XML transformation
Clio is an existing schema-mapping tool that provides user-friendly means to manage and facilitate the complex task of transformation and integration of heterogeneous data such as...
Haifeng Jiang, Howard Ho, Lucian Popa, Wook-Shin H...