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» Ontology mapping using background knowledge
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ARTMED
2006
75views more  ARTMED 2006»
14 years 11 months ago
Semi-automatic learning of simple diagnostic scores utilizing complexity measures
Objective: Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semiautoma...
Martin Atzmüller, Joachim Baumeister, Frank P...
BMCBI
2010
214views more  BMCBI 2010»
14 years 11 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
AIED
2005
Springer
15 years 4 months ago
Towards support in building qualitative knowledge models
Qualitative Reasoning (QR) formalisms provide ontological primitives for capturing conceptual knowledge. Recently QR-based diagrammatic tools are being developed to support learne...
Vania Bessa Machado, Roland Groen, Bert Bredeweg
DILS
2004
Springer
15 years 2 months ago
An Ontology-Driven Framework for Data Transformation in Scientific Workflows
Abstract. Ecologists spend considerable effort integrating heterogeneous data for statistical analyses and simulations, for example, to run and test predictive models. Our research...
Shawn Bowers, Bertram Ludäscher
CISIS
2009
IEEE
15 years 5 months ago
SAMOA - A Semi-Automated Ontology Alignment Method for Systems Integration in Safety-Critical Environments
The integration of heterogeneous data sources with even heterogeneous semantic meanings poses a challenge for data and system integrators. Ontology Alignment (OA) tries to identif...
Thomas Moser, Kathrin Schimper, Richard Mordinyi, ...