Monte Carlo Study of Taxonomy Evaluation
ALEXANDER V. ULANOV, Georgy L. Shevlyakov, Nikolay Lyubomishchenko, Pankaj Mehra, Vladimir Polutin · 2010
The problems of taxonomy evaluation criteria comparison and corresponding benchmark creation are considered. The classes of Primitive Ideal Taxonomies (PITs), their WordNet and disrupted versions are proposed as the sets of benchmark taxonomies for the comparison of taxonomy evaluation methods. For WordNet PITs and their perturbations, the performances of the structure-based PageRank, FloorRank, and the corpus based Information Content criteria are studied in Monte Carlo experiment. It is shown that the proposed approach can be used for the ranking of taxonomy evaluation criteria.