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» The YAGO-NAGA approach to knowledge discovery
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WEBI
2010
Springer
13 years 7 months ago
Boosting Biomedical Entity Extraction by Using Syntactic Patterns for Semantic Relation Discovery
Biomedical entity extraction from unstructured web documents is an important task that needs to be performed in order to discover knowledge in the veterinary medicine domain. In ge...
Svitlana Volkova, Doina Caragea, William H. Hsu, J...
IAT
2007
IEEE
14 years 4 months ago
An Intelligent Web Agent to Mine Bilingual Parallel Pages via Automatic Discovery of URL Pairing Patterns
This paper describes an intelligent agent to facilitate bitext mining from the Web via automatic discovery of URL pairing patterns (or keys) for retrieving parallel web pages. The...
Chunyu Kit, Jessica Yee Ha Ng
ECSQARU
2005
Springer
14 years 3 months ago
Molecular Fragment Mining for Drug Discovery
The main task of drug discovery is to find novel bioactive molecules, i.e., chemical compounds that, for example, protect human cells against a virus. One way to support solving t...
Christian Borgelt, Michael R. Berthold, David E. P...
AIME
2007
Springer
14 years 3 months ago
A Human-Machine Cooperative Approach for Time Series Data Interpretation
Abstract. This paper deals with the interpretation of biomedical multivariate time series for extracting typical scenarios. This task is known to be difficult, due to the temporal ...
Thomas Guyet, Catherine Garbay, Michel Dojat
ILP
2003
Springer
14 years 2 months ago
Comparative Evaluation of Approaches to Propositionalization
Propositionalization has already been shown to be a particularly promising approach for robustly and effectively handling relational data sets for knowledge discovery. In this pap...
Mark-A. Krogel, Simon Rawles, Filip Zelezný...