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| Roberto Navigli, Paola Velardi, Aldo Gangemi, "Ontology Learning and Its Application to Automated Terminology Translation," IEEE Intelligent Systems, vol. 18, no. 1, pp. 22-31, January/February, 2003. | |||
| BibTex | x | ||
| @article{ 10.1109/MIS.2003.1179190, author = {Roberto Navigli and Paola Velardi and Aldo Gangemi}, title = {Ontology Learning and Its Application to Automated Terminology Translation}, journal ={IEEE Intelligent Systems}, volume = {18}, number = {1}, issn = {1541-1672}, year = {2003}, pages = {22-31}, doi = {http://doi.ieeecomputersociety.org/10.1109/MIS.2003.1179190}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - MGZN JO - IEEE Intelligent Systems TI - Ontology Learning and Its Application to Automated Terminology Translation IS - 1 SN - 1541-1672 SP22 EP31 EPD - 22-31 A1 - Roberto Navigli, A1 - Paola Velardi, A1 - Aldo Gangemi, PY - 2003 KW - Semantic Web KW - corpus processing KW - ontology learning KW - WordNet KW - terminology extraction VL - 18 JA - IEEE Intelligent Systems ER - | |||
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.

