dc.contributor.author | Arcan, Mihael | |
dc.contributor.author | Dragoni, Mauro | |
dc.contributor.author | Buitelaar, Paul | |
dc.date.accessioned | 2019-01-31T09:43:50Z | |
dc.date.available | 2019-01-31T09:43:50Z | |
dc.date.issued | 2016-09-23 | |
dc.identifier.citation | Arcan M., Dragoni M., Buitelaar P. (2016) Translating Ontologies in Real-World Settings. In: Groth P. et al. (eds) The Semantic Web – ISWC 2016. ISWC 2016. Lecture Notes in Computer Science, vol 9982. Springer, Cham | en_IE |
dc.identifier.isbn | 978-3-319-46547-0 | |
dc.identifier.uri | http://hdl.handle.net/10379/14891 | |
dc.description.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. | en_IE |
dc.description.sponsorship | This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under Grant Number SFI/12/RC/2289. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | Springer Verlag | en_IE |
dc.relation.ispartof | International Semantic Web Conference | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | Ontologies | en_IE |
dc.subject | Translation | en_IE |
dc.subject | Machine Translation | en_IE |
dc.subject | Statistical Machine Translation | en_IE |
dc.subject | Parallel Corpus | en_IE |
dc.subject | Source Sentence | en_IE |
dc.subject | Statistical Machine Translation System | en_IE |
dc.title | Translating ontologies in real-world settings | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2019-01-23T17:45:04Z | |
dc.identifier.doi | 10.1007/978-3-319-46547-0_25 | |
dc.local.publishedsource | https://doi.org/10.1007/978-3-319-46547-0_25 | en_IE |
dc.description.peer-reviewed | non-peer-reviewed | |
dc.contributor.funder | Science Foundation Ireland | en_IE |
dc.internal.rssid | 13192044 | |
dc.local.contact | Mihael Arcan. Email: mihael.arcan@insight-centre.org | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2289/IE/INSIGHT - Irelands Big Data and Analytics Research Centre/ | en_IE |
nui.item.downloads | 290 | |