Large-scale taxonomy mapping for restructuring and integrating wikipedia
Simone Paolo Ponzetto, Roberto Navigli · 2009
We present a knowledge-rich methodology for dis-ambiguating Wikipedia categories with WordNet synsets and using this semantic information to re-structure a taxonomy automatically generated from the Wikipedia system of categories. We evaluate against a manual gold standard and show that both category disambiguation and taxonomy restructur-ing perform with high accuracy. Besides, we assess these methods on automatically generated datasets and show that we are able to effectively enrich WordNet with a large number of instances from Wikipedia. Our approach produces an integrated resource, thus bringing together the fine-grained classification of instances in Wikipedia and a well-structured top-level taxonomy from WordNet. 1