Large-Scale Taxonomy Mapping for Restructuring and Integrating Wikipedia
Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence. Pages 2083-2087.
Abstract
We present a knowledge-rich methodology for disambiguating Wikipedia categories with WordNet synsets and using this semantic information to restructure 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 restructuring 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.Simone Paolo Ponzetto, Roberto Navigli
@inproceedings{ijcai2009p343,
title = {Large-Scale Taxonomy Mapping for Restructuring and Integrating Wikipedia},
author = {Ponzetto, Simone Paolo and Navigli, Roberto},
booktitle = {Proceedings of the Twenty-First International Joint Conference on
Artificial Intelligence, {IJCAI-09}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Hiroaki Kitano},
pages = {2083--2087},
year = {2009},
url = {https://ijcai.org/proceedings/2009/343},
}
TY - CPAPER TI - Large-Scale Taxonomy Mapping for Restructuring and Integrating Wikipedia AU - Ponzetto, Simone Paolo AU - Navigli, Roberto T2 - Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence, IJCAI-09 PB - International Joint Conferences on Artificial Intelligence PY - 2009 SP - 2083 EP - 2087 UR - https://ijcai.org/proceedings/2009/343 ER -Copied
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