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In this demo I show how two distinct but somewhat similar terms (or word forms) in separate term base ontologies are compared. Their similarity is evaluated with data on related term occurences in given text corpora. The ontoR toolbox developed for Content Factory term management is utilized in the statistical analysis.
A demo of semi-supervised machine learning process, where new term dictionary candidates may be found in given text, by finding closest matches in previously known ontologies.