Translating ontologies in real-world settings

Mihael Arcan; Mauro Dragoni; Paul Buitelaar

doi:10.1007/978-3-319-46547-0_25

Translating ontologies in real-world settings

Mihael Arcan
, Mauro Dragoni
, Paul Buitelaar

Fondazione Bruno Kessler

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

2 Citations (Scopus)

Abstract

To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. The main challenge in translating ontologies is to disambiguate an ontology label with respect to the domain modelled by ontology itself. Machine translation services may help in this task; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. For this reason, real-world applications must implement a support system addressing this task to relieve experts in validating all translations. In this paper we present the Expert Supporting System for Ontology Translation, called ESSOT, which exploits the semantic information of the label’s context for improving the quality of label translations. The system has been tested within the Organic.Lingua project by translating the ontology labels in three languages. In order to evaluate further the effectiveness of the system on handling different domains, additional ontologies were translated and evaluated. The results have been compared with translations provided by the Microsoft Translator API and the improvements demonstrate a better performance of the proposed approach for automatic ontology translation.

Original language	English
Title of host publication	The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings
Editors	Marta Sabou, Freddy Lecue, Paul Groth, Elena Simperl, Markus Krotzsch, Freddy Lecue, Alasdair Gray, Fabian Flock, Yolanda Gil
Publisher	Springer-Verlag
Pages	241-256
Number of pages	16
ISBN (Print)	9783319465463
DOIs	https://doi.org/10.1007/978-3-319-46547-0_25
Publication status	Published - 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9982 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

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10.1007/978-3-319-46547-0_25

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Arcan, M., Dragoni, M., & Buitelaar, P. (2016). Translating ontologies in real-world settings. In M. Sabou, F. Lecue, P. Groth, E. Simperl, M. Krotzsch, F. Lecue, A. Gray, F. Flock, & Y. Gil (Eds.), The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings (pp. 241-256). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9982 LNCS). Springer-Verlag . https://doi.org/10.1007/978-3-319-46547-0_25

Arcan, Mihael ; Dragoni, Mauro ; Buitelaar, Paul. / Translating ontologies in real-world settings. The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings. editor / Marta Sabou ; Freddy Lecue ; Paul Groth ; Elena Simperl ; Markus Krotzsch ; Freddy Lecue ; Alasdair Gray ; Fabian Flock ; Yolanda Gil. Springer-Verlag , 2016. pp. 241-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "Translating ontologies in real-world settings",

abstract = "To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. The main challenge in translating ontologies is to disambiguate an ontology label with respect to the domain modelled by ontology itself. Machine translation services may help in this task; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. For this reason, real-world applications must implement a support system addressing this task to relieve experts in validating all translations. In this paper we present the Expert Supporting System for Ontology Translation, called ESSOT, which exploits the semantic information of the label{\textquoteright}s context for improving the quality of label translations. The system has been tested within the Organic.Lingua project by translating the ontology labels in three languages. In order to evaluate further the effectiveness of the system on handling different domains, additional ontologies were translated and evaluated. The results have been compared with translations provided by the Microsoft Translator API and the improvements demonstrate a better performance of the proposed approach for automatic ontology translation.",

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Arcan, M, Dragoni, M & Buitelaar, P 2016, Translating ontologies in real-world settings. in M Sabou, F Lecue, P Groth, E Simperl, M Krotzsch, F Lecue, A Gray, F Flock & Y Gil (eds), The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9982 LNCS, Springer-Verlag , pp. 241-256. https://doi.org/10.1007/978-3-319-46547-0_25

Translating ontologies in real-world settings. / Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul.
The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings. ed. / Marta Sabou; Freddy Lecue; Paul Groth; Elena Simperl; Markus Krotzsch; Freddy Lecue; Alasdair Gray; Fabian Flock; Yolanda Gil. Springer-Verlag , 2016. p. 241-256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9982 LNCS).

Research output: Chapter in Book or Conference Publication/Proceeding › Conference Publication › peer-review

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T1 - Translating ontologies in real-world settings

AU - Arcan, Mihael

AU - Dragoni, Mauro

AU - Buitelaar, Paul

N1 - Publisher Copyright: © Springer International Publishing AG 2016.

PY - 2016

Y1 - 2016

N2 - To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. The main challenge in translating ontologies is to disambiguate an ontology label with respect to the domain modelled by ontology itself. Machine translation services may help in this task; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. For this reason, real-world applications must implement a support system addressing this task to relieve experts in validating all translations. In this paper we present the Expert Supporting System for Ontology Translation, called ESSOT, which exploits the semantic information of the label’s context for improving the quality of label translations. The system has been tested within the Organic.Lingua project by translating the ontology labels in three languages. In order to evaluate further the effectiveness of the system on handling different domains, additional ontologies were translated and evaluated. The results have been compared with translations provided by the Microsoft Translator API and the improvements demonstrate a better performance of the proposed approach for automatic ontology translation.

AB - To enable knowledge access across languages, ontologies that are often represented only in English, need to be translated into different languages. The main challenge in translating ontologies is to disambiguate an ontology label with respect to the domain modelled by ontology itself. Machine translation services may help in this task; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. For this reason, real-world applications must implement a support system addressing this task to relieve experts in validating all translations. In this paper we present the Expert Supporting System for Ontology Translation, called ESSOT, which exploits the semantic information of the label’s context for improving the quality of label translations. The system has been tested within the Organic.Lingua project by translating the ontology labels in three languages. In order to evaluate further the effectiveness of the system on handling different domains, additional ontologies were translated and evaluated. The results have been compared with translations provided by the Microsoft Translator API and the improvements demonstrate a better performance of the proposed approach for automatic ontology translation.

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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A2 - Flock, Fabian

A2 - Gil, Yolanda

PB - Springer-Verlag

ER -

Arcan M, Dragoni M, Buitelaar P. Translating ontologies in real-world settings. In Sabou M, Lecue F, Groth P, Simperl E, Krotzsch M, Lecue F, Gray A, Flock F, Gil Y, editors, The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016, Proceedings. Springer-Verlag . 2016. p. 241-256. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-46547-0_25

Translating ontologies in real-world settings

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