ESSOT: An expert supporting system for ontology translation

Mihael Arcan; Mauro Dragoni; Paul Buitelaar

doi:10.1007/978-3-319-41754-7_6

ESSOT: An expert supporting system for ontology translation

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, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to disambiguate an ontology label with respect to the domain modelled by the ontology itself; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. Real-world applications have to implement a support system addressing this task to help experts in validating automatically generated translations. In this paper, we present ESSOT, an Expert Supporting System for Ontology Translation. The peculiarity of this system is to exploit the semantic information of the label’s context to improve the quality of label translations. The system has been tested within the Organic.Lingua project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach.

Original language	English
Title of host publication	Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings
Editors	Elisabeth Métais, Vijayan Sugumaran, Farid Meziane, Mohamad Saraee, Sunil Vadera
Publisher	Springer-Verlag
Pages	60-73
Number of pages	14
ISBN (Print)	9783319417530
DOIs	https://doi.org/10.1007/978-3-319-41754-7_6
Publication status	Published - 2016
Event	21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016 - Salford, United Kingdom Duration: 22 Jun 2016 → 24 Jun 2016

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	9612
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016
Country/Territory	United Kingdom
City	Salford
Period	22/06/16 → 24/06/16

Access to Document

10.1007/978-3-319-41754-7_6

Cite this

Arcan, M., Dragoni, M., & Buitelaar, P. (2016). ESSOT: An expert supporting system for ontology translation. In E. Métais, V. Sugumaran, F. Meziane, M. Saraee, & S. Vadera (Eds.), Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings (pp. 60-73). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9612). Springer-Verlag . https://doi.org/10.1007/978-3-319-41754-7_6

Arcan, Mihael ; Dragoni, Mauro ; Buitelaar, Paul. / ESSOT : An expert supporting system for ontology translation. Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. editor / Elisabeth Métais ; Vijayan Sugumaran ; Farid Meziane ; Mohamad Saraee ; Sunil Vadera. Springer-Verlag , 2016. pp. 60-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "ESSOT: An expert supporting system for ontology translation",

abstract = "To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to disambiguate an ontology label with respect to the domain modelled by the ontology itself; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. Real-world applications have to implement a support system addressing this task to help experts in validating automatically generated translations. In this paper, we present ESSOT, an Expert Supporting System for Ontology Translation. The peculiarity of this system is to exploit the semantic information of the label{\textquoteright}s context to improve the quality of label translations. The system has been tested within the Organic.Lingua project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach.",

author = "Mihael Arcan and Mauro Dragoni and Paul Buitelaar",

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year = "2016",

doi = "10.1007/978-3-319-41754-7\_6",

language = "English",

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series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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Arcan, M, Dragoni, M & Buitelaar, P 2016, ESSOT: An expert supporting system for ontology translation. in E Métais, V Sugumaran, F Meziane, M Saraee & S Vadera (eds), Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 9612, Springer-Verlag , pp. 60-73, 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Salford, United Kingdom, 22/06/16. https://doi.org/10.1007/978-3-319-41754-7_6

ESSOT: An expert supporting system for ontology translation. / Arcan, Mihael; Dragoni, Mauro; Buitelaar, Paul.
Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. ed. / Elisabeth Métais; Vijayan Sugumaran; Farid Meziane; Mohamad Saraee; Sunil Vadera. Springer-Verlag , 2016. p. 60-73 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 9612).

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

TY - GEN

T1 - ESSOT

T2 - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016

AU - Arcan, Mihael

AU - Dragoni, Mauro

AU - Buitelaar, Paul

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

PY - 2016

Y1 - 2016

N2 - To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to disambiguate an ontology label with respect to the domain modelled by the ontology itself; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. Real-world applications have to implement a support system addressing this task to help experts in validating automatically generated translations. In this paper, we present ESSOT, an Expert Supporting System for Ontology Translation. The peculiarity of this system is to exploit the semantic information of the label’s context to improve the quality of label translations. The system has been tested within the Organic.Lingua project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach.

AB - To enable knowledge access across languages, ontologies, mostly represented only in English, need to be translated into different languages. The main challenge in translating ontologies with machine translation is to disambiguate an ontology label with respect to the domain modelled by the ontology itself; however, a crucial requirement is to have translations validated by experts before the ontologies are deployed. Real-world applications have to implement a support system addressing this task to help experts in validating automatically generated translations. In this paper, we present ESSOT, an Expert Supporting System for Ontology Translation. The peculiarity of this system is to exploit the semantic information of the label’s context to improve the quality of label translations. The system has been tested within the Organic.Lingua project by translating the modelled ontology in three languages, whereby the results are compared with translations provided by the Microsoft Translator API. The provided results demonstrate the viability of our proposed approach.

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U2 - 10.1007/978-3-319-41754-7_6

DO - 10.1007/978-3-319-41754-7_6

M3 - Conference Publication

AN - SCOPUS:84977513977

SN - 9783319417530

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

SP - 60

EP - 73

BT - Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings

A2 - Métais, Elisabeth

A2 - Sugumaran, Vijayan

A2 - Meziane, Farid

A2 - Saraee, Mohamad

A2 - Vadera, Sunil

PB - Springer-Verlag

Y2 - 22 June 2016 through 24 June 2016

ER -

Arcan M, Dragoni M, Buitelaar P. ESSOT: An expert supporting system for ontology translation. In Métais E, Sugumaran V, Meziane F, Saraee M, Vadera S, editors, Natural Language Processing and Information Systems - 21st International Conference on Applications of Natural Language to Information Systems, NLDB 2016, Proceedings. Springer-Verlag . 2016. p. 60-73. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-41754-7_6

ESSOT: An expert supporting system for ontology translation

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