Ontology learning and its application to automated terminology translation

Author

Navigli, Roberto ; Velardi, Paola ; Gangemi, Aldo

Author_Institution

Universita di Roma La Sapienza, Italy

Volume

18

Issue

1

fYear

2003

Firstpage

22

Lastpage

31

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.

Keywords

knowledge engineering; language translation; learning (artificial intelligence); natural languages; nomenclature; text analysis; English; Italian; OntoLearn system; automated terminology translation; domain text; experiment; machine learning techniques; multiword term translation; natural language processing; ontology engineering architecture; ontology learning; tourism ontology; Companies; Data mining; Databases; Large-scale systems; Machine learning; Mesons; Natural language processing; Ontologies; Printing; Terminology;

fLanguage

English

Journal_Title

Intelligent Systems, IEEE

Publisher

ieee

ISSN

1541-1672

Type

jour

DOI

10.1109/MIS.2003.1179190

Filename

1179190