Evaluating semantic kernel with k-NN classifier

This workflow uses k-NN classifier to evaluate quality of EL++ Convolution Kernel [1]. As a dataset one of the examples from DL-Learner project [2] is used. After preparing knowledge base with "Build Knowledge Base", the item to item distance matrix is computed with "Calculate Gram/Distance Matrix". Such a matrix is then used as an input to 10-fold cross-validation with k-NN as an classifier and average result is delivered.

[1] L. Józefowski, A. Lawrynowicz, J. Józefowska, J. Potoniec, T. Lukaszewski. Kernels for Measuring Similarity of EL++ Description Logic Concepts. CoLISD 2011.