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COOPIS
2003
IEEE
14 years 1 months ago
Mining for Lexons: Applying Unsupervised Learning Methods to Create Ontology Bases
Ontologies in current computer science parlance are computer based resources that represent agreed domain semantics. This paper first introduces ontologies in general and subseque...
Marie-Laure Reinberger, Peter Spyns, Walter Daelem...
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
Evading the annotation bottleneck: using sequence similarity to search non-sequence gene data
Background: Non-sequence gene data (images, literature, etc.) can be found in many different public databases. Access to these data is mostly by text based methods using gene name...
Michael J. Gilchrist, Mikkel B. Christensen, Richa...
BMCBI
2005
114views more  BMCBI 2005»
13 years 7 months ago
AutoFACT: An Automatic Functional Annotation and Classification Tool
Background: Assignment of function to new molecular sequence data is an essential step in genomics projects. The usual process involves similarity searches of a given sequence aga...
Liisa B. Koski, Michael W. Gray, B. Franz Lang, Ge...
ECAI
2000
Springer
14 years 1 days ago
Learning Classification taxonomies from a classification knowledge based system
Knowledge-based systems (KBS) are not necessarily based on well-defined ontologies. In particular it is possible to build KBS for classification problems, where there is little con...
Hendra Suryanto, Paul Compton
DILS
2008
Springer
13 years 9 months ago
Ontologies and Data Integration in Biomedicine: Success Stories and Challenging Issues
In this presentation, we review some examples of successful biomedical data integration projects in which ontologies play an important role, including the integration of genomic da...
Olivier Bodenreider