dc.contributor.author | McCrae, John P. | |
dc.contributor.author | Tiberius, Carole | |
dc.contributor.author | Khan, Anas Fahad | |
dc.contributor.author | Kernerman, Ilan | |
dc.contributor.author | Declerck, Thierry | |
dc.contributor.author | Krek, Simon | |
dc.contributor.author | Monachini, Monica | |
dc.contributor.author | Ahmadi, Sina | |
dc.date.accessioned | 2019-10-14T13:20:29Z | |
dc.date.available | 2019-10-14T13:20:29Z | |
dc.date.issued | 2019-10-01 | |
dc.identifier.citation | McCrae, John P., Tiberius, Carole, Khan, Anas Fahad, Kernerman, Ilan, Declerck, Thierry, Krek, Simon, Monachini, Monica, Ahmadi, Sina. (2019). The ELEXIS interface for interoperable lexical resources. Paper presented at the eLex 2019 (sixth biennial conference on electronic lexicography), Sintra, Portugal, 01-03 October. | en_IE |
dc.identifier.uri | http://hdl.handle.net/10379/15512 | |
dc.description.abstract | ELEXIS is a project that aims to create a European network of lexical resources, and one of
the key challenges for this is the development of an interoperable interface for different lexical
resources so that further tools may improve the data. This paper describes this interface and
in particular describes the five methods of entrance into the infrastructure, through
retrodigitization, by conversion to TEI-Lex0, by the TEI-Lex0 format, by the OntoLex format
or through the REST interface described in this paper. The interface has the role of allowing
dictionaries to be ingested into the ELEXIS system, so that they can be linked to each other,
used by NLP tools and made available through tools to Sketch Engine and Lexonomy. Most
importantly, these dictionaries will all be linked to each other through the Dictionary Matrix,
a collection of linked dictionaries that will be created by the project. There are five principal
ways that a dictionary maybe entered into the Matrix Dictionary: either through
retrodigitization; by conversion to TEI Lex-0 by means of the forthcoming ELEXIS conversion
tool; by directly providing TEI Lex-0 data; by providing data in a compatible format (including
OntoLex); or by implementing the REST interface described in this paper. | en_IE |
dc.description.sponsorship | All authors are supported by the EU H2020 programme under grant agreements 731015
John McCrae is also supported by a
research grant from Science Foundation Ireland, co-funded by the European Regional
Development Fund, for the Insight Centre under Grant Number SFI/12/RC/2289. | en_IE |
dc.format | application/pdf | en_IE |
dc.language.iso | en | en_IE |
dc.publisher | eLex 2019 | en_IE |
dc.relation.ispartof | Proceedings of the sixth biennial conference on electronic lexicography (eLex) | en |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Ireland | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/3.0/ie/ | |
dc.subject | lexicography | en_IE |
dc.subject | linked data | en_IE |
dc.subject | infrastructure | en_IE |
dc.subject | ELEXIS | en_IE |
dc.subject | REST | en_IE |
dc.subject | RDF | en_IE |
dc.subject | TEI | en_IE |
dc.subject | JSON | en_IE |
dc.title | The ELEXIS interface for interoperable lexical resources | en_IE |
dc.type | Conference Paper | en_IE |
dc.date.updated | 2019-10-12T18:54:12Z | |
dc.local.publishedsource | https://elex.link/elex2019/proceedings-download/ | en_IE |
dc.description.peer-reviewed | non-peer-reviewed | |
dc.contributor.funder | Horizon 2020 | en_IE |
dc.contributor.funder | Science Foundation Ireland | en_IE |
dc.contributor.funder | European Regional Development Fund | en_IE |
dc.internal.rssid | 18011981 | |
dc.local.contact | Sina Ahmadi, The Insight Centre For Data Analytics, National University Of Ireland, Galway , The Deri Building . Email: s.ahmadi1@nuigalway.ie | |
dc.local.copyrightchecked | Yes | |
dc.local.version | PUBLISHED | |
dcterms.project | info:eu-repo/grantAgreement/EC/H2020::RIA/731015/EU/European Lexicographic Infrastructure/ELEXIS | en_IE |
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 | 155 | |