Our OntoLearn system is an infrastructure for automated ontology learning from domain text. It is the only system, as far as we know, that uses natural language processing and machine learning techniques, and is part of a more general ontology engineering architecture. We describe the system and an experiment in which we used a machine-learned tourism ontology to automatically translate multiword terms from English to Italian. The method can apply to other domains without manual adaptation.

@article{1179190, author = {Navigli, R. and Velardi, P. and Gangemi, A.}, title = {Ontology learning and its application to automated terminology translation}, journal = {Intelligent Systems, IEEE}, year = {2003}, volume = {18}, number = {1}, pages = { 22-31}, url = {http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1179190}, doi = {10.1109/MIS.2003.1179190}, issn = {1541-1672}, keywords = {ol, learning, ontology}, abstract = { Our OntoLearn system is an infrastructure for automated ontology learning from domain text. It is the only system, as far as we know, that uses natural language processing and machine learning techniques, and is part of a more general ontology engineering architecture. We describe the system and an experiment in which we used a machine-learned tourism ontology to automatically translate multiword terms from English to Italian. The method can apply to other domains without manual adaptation.} }

%0 = article %A = Navigli, R. and Velardi, P. and Gangemi, A. %D = 2003 %T = Ontology learning and its application to automated terminology translation %U = http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1179190