Ontologies and machine learning systems

Date
2014
Authors
Tegginmath, S
Pears, R
Kasabov, N
Supervisor
Item type
Chapter in Book
Degree name
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Abstract

In this chapter we review the uses of ontologies within bioinformatics and neuroinformatics and the various attempts to combine machine learning (ML) and ontologies, and the uses of data mining ontologies. This is a diverse field and there is enormous potential for wider use of ontologies in bioinformatics and neuroinformatics research and system development. A systems biology approach comprising of experimental and computational research using biological, medical, and clinical data is needed to understand complex biological processes and help scientists draw meaningful inferences and to answer questions scientists have not even attempted so far.

Description
Keywords
Source
Springer Handbook of Bio-/Neuroinformatics (2014), pp 865-872
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