ANNETT-o is an OWL ontology for describing arbitrary, complex ANN Evaluation, Training and Topology characteristics. It is designed by the Software and Knowledge Engineering Lab (SKEL) of the Institute of Informatics and Telecommunications, at the National Centre for Scientific Research "Demokritos".
ANNETT-o is able to capture and link many of the topological, training and evaluation characteristics of existing and future artificial neural network configurations, in order to create knowledge bases that could drive the design of deep learning solutions. ANNETT-o aims to help fill in the gap when it comes to studying, understanding and designing ANN solutions.
A working version of ANNETT-o is available as a WebProtégé project.
