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» Using OWL to model biological knowledge
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CSB
2005
IEEE
189views Bioinformatics» more  CSB 2005»
14 years 1 months ago
Learning Yeast Gene Functions from Heterogeneous Sources of Data Using Hybrid Weighted Bayesian Networks
We developed a machine learning system for determining gene functions from heterogeneous sources of data sets using a Weighted Naive Bayesian Network (WNB). The knowledge of gene ...
Xutao Deng, Huimin Geng, Hesham H. Ali
TITB
2002
142views more  TITB 2002»
13 years 7 months ago
Building a bioinformatics ontology using OIL
This paper describes the initial stages of building an ontology of bioinformatics and molecular biology. The conceptualisation is encoded using the Ontology Inference Layer (OIL),...
Robert Stevens, Carole A. Goble, Ian Horrocks, Sea...
AB
2007
Springer
14 years 1 months ago
Analyzing Pathways Using SAT-Based Approaches
Abstract. A network of reactions is a commonly used paradigm for representing knowledge about a biological process. How does one understand such generic networks and answer queries...
Ashish Tiwari, Carolyn L. Talcott, Merrill Knapp, ...
ANTSW
2006
Springer
13 years 11 months ago
Extending the Particle Swarm Algorithm to Model Animal Foraging Behaviour
The particle swarm algorithm contains elements which map fairly strongly to the foraging problem in behavioural ecology. In this paper, we show how some simple adaptions to the sta...
Cecilia Di Chio, Riccardo Poli, Paolo Di Chio
ESWS
2008
Springer
13 years 9 months ago
An Ontology for Software Models and Its Practical Implications for Semantic Web Reasoning
Ontology-Driven Software Development (ODSD) advocates using ontologies for capturing knowledge about a software system at development time. So far, ODSD approaches have mainly focu...
Matthias Bräuer, Henrik Lochmann