Ontology Learning and Its Application to Automated Terminology Translation

Authors:
Roberto Navigli;Paola Velardi;Aldo Gangemi
Affiliations:
-;-;-
Venue:
IEEE Intelligent Systems
Year:
2003

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Abstract

OntoLearn is a system for automated ontology learning from domain texts that uses the WordNet lexical database. OntoLearn extracts the relevant domain terms from available documents in a given field (such as tourism, economy, and sports), relates these terms to the appropriate concepts of a general-purpose ontology, and finally detects taxonomic and other semantic relations among domain concepts. To evaluate OntoLearn, the authors analyzed the utility of a domain ontology for automated terminology translation, which is highly relevant for e-commerce and technical translations. They performed an experiment for the automated generation of multiword term equivalences from English to Italian in the tourism field using the European version of WordNet.