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ESWS
2010
Springer
15 years 8 months ago
An Unsupervised Approach for Acquiring Ontologies and RDF Data from Online Life Science Databases
In the Linked Open Data cloud one of the largest data sets, comprising of 2.5 billion triples, is derived from the Life Science domain. Yet this represents a small fraction of the ...
Saqib Mir, Steffen Staab, Isabel Rojas
BMCBI
2010
106views more  BMCBI 2010»
15 years 6 months ago
Multiple structure alignment and consensus identification for proteins
Background: An algorithm is presented to compute a multiple structure alignment for a set of proteins and to generate a consensus (pseudo) protein which captures common substructu...
Ivaylo Ilinkin, Jieping Ye, Ravi Janardan
BMCBI
2005
152views more  BMCBI 2005»
15 years 6 months ago
GeneKeyDB: A lightweight, gene-centric, relational database to support data mining environments
Background: The analysis of biological data is greatly enhanced by existing or emerging databases. Most existing databases, with few exceptions are not designed to easily support ...
S. A. Kirov, X. Peng, E. Baker, D. Schmoyer, B. Zh...
TITB
2002
98views more  TITB 2002»
15 years 6 months ago
OILing the way to machine understandable bioinformatics resources
The complex questions and analyses posed by biologists, as well as the diverse data resources they develop, require the fusion of evidence from different, independently developed ...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
WWW
2011
ACM
15 years 1 months ago
Learning to rank with multiple objective functions
We investigate the problem of learning to rank for document retrieval from the perspective of learning with multiple objective functions. We present solutions to two open problems...
Krysta Marie Svore, Maksims Volkovs, Christopher J...