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Issue No.01 - January/February (2003 vol.18)
pp: 22-31
Roberto Navigli , Universit? di Roma La Sapienza
Aldo Gangemi , Institute of Cognitive Sciences and Technology
<p>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.</p>
Semantic Web, corpus processing, ontology learning, WordNet, terminology extraction
Roberto Navigli, Aldo Gangemi, "Ontology Learning and Its Application to Automated Terminology Translation", IEEE Intelligent Systems, vol.18, no. 1, pp. 22-31, January/February 2003, doi:10.1109/MIS.2003.1179190
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