2003 OntologyLearningAndItsAppToAutoTermTrans

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Subject Headings: OntoLearn System, Ontology Learning, WordNet, Terminology Extraction Task.

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Cited By

2004

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.

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 AuthorvolumeDate ValuetitletypejournaltitleUrldoinoteyear
2003 OntologyLearningAndItsAppToAutoTermTransAldo GangemiOntology Learning and Its Application to Automated Terminology Translationhttp://www.loa-cnr.it/Papers/IEEE2003.pdf10.1109/MIS.2003.1179190