Title
Monte Carlo Study of Taxonomy Evaluation
Abstract
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.
Year
DOI
Venue
2010
10.1109/DEXA.2010.85
DEXA Workshops
Keywords
Field
DocType
information content criterion,wordnet pits,taxonomy evaluation criteria comparison,monte carlo experiment,taxonomy evaluation criterion,taxonomy evaluation,taxonomy evaluation method,primitive ideal taxonomies,corresponding benchmark creation,benchmark taxonomy,monte carlo study,correlation,information content,taxonomy,integrated circuits,monte carlo methods,ontologies,benchmark testing,internet,monte carlo
Ontology (information science),Data mining,PageRank,Monte Carlo method,Ranking,Computer science,WordNet,Benchmark (computing)
Conference
ISSN
ISBN
Citations 
1529-4188
978-1-4244-8049-4
0
PageRank 
References 
Authors
0.34
1
5
Name
Order
Citations
PageRank
Alexander Ulanov1659.64
Georgy Shevlyakov2558.93
Nikolay Lyubomishchenko300.68
Pankaj Mehra424244.93
Vladimir Polutin5987.34