This chapter discusses and presents some preliminary results on the Brain-Gene Ontology project that is concerned with the collection, presentation and use of knowledge in the form of ontology equipped with the Knowledge Discovery means of Computational Intelligence. Brain-Gene Ontology system thus includes various concepts, facts, data, graphs, visualizations, animations, and other information forms, related to brain functions, brain diseases, their genetic basis and the relationship between all of them, and various software simulators. The first version of the Brain-Gene Ontology has been completed as an evolving hierarchical structure in the Protégé ontology building environment endowed with plugins into the CI knowledge discovery packages like NeuCom, Weka, Siftware, and others.
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Kasabov, N., Jain, V., Benuskova, L., Gottgtroy, P.C.M., Joseph, F. (2008). Integration of Brain-Gene Ontology and Simulation Systems for Learning, Modelling and Discovery. In: Kelemen, A., Abraham, A., Liang, Y. (eds) Computational Intelligence in Medical Informatics. Studies in Computational Intelligence, vol 85. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75767-2_11
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