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» Learning Classifiers from Semantically Heterogeneous Data
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ICML
2003
IEEE
14 years 9 months ago
Learning on the Test Data: Leveraging Unseen Features
This paper addresses the problem of classification in situations where the data distribution is not homogeneous: Data instances might come from different locations or times, and t...
Benjamin Taskar, Ming Fai Wong, Daphne Koller
SEMCO
2009
IEEE
14 years 3 months ago
An Algebraic Language for Semantic Data Integration on the Hidden Web
Semantic integration in the hidden Web is an emerging area of research where traditional assumptions do not always hold. Frequent changes, conflicts and the sheer size of the hid...
Shazzad Hosain, Hasan M. Jamil
ESWS
2006
Springer
14 years 17 days ago
Managing Information Quality in e-Science Using Semantic Web Technology
Abstract. We outline a framework for managing information quality (IQ) in eScience, using ontologies, semantic annotation of resources, and data bindings. Scientists define the qua...
Alun D. Preece, Binling Jin, Edoardo Pignotti, Pao...
WWW
2007
ACM
14 years 9 months ago
Combining classifiers to identify online databases
We address the problem of identifying the domain of online databases. More precisely, given a set F of Web forms automatically gathered by a focused crawler and an online database...
Luciano Barbosa, Juliana Freire
ACL
2006
13 years 10 months ago
Machine Learning of Temporal Relations
This paper investigates a machine learning approach for temporally ordering and anchoring events in natural language texts. To address data sparseness, we used temporal reasoning ...
Inderjeet Mani, Marc Verhagen, Ben Wellner, Chong ...