Use this url to cite publication: https://cris.mruni.eu/cris/handle/007/18670
OntoLex-Morph: Morphology for the Web of Data
Type of publication
Tezės kitame recenzuojamame leidinyje / Theses in other peer-reviewed publication (T1e)
Type of publication (old)
T2
Author(s)
| Author(s) |
|---|
Chiarcos, Christian |
Ionov, Maxim |
Gkirtzou, Katerina |
Khan, Anas Fahad |
Labropoulou, Penny |
Passarotti, Marco |
Pellegrini, Matteo |
Title
OntoLex-Morph: Morphology for the Web of Data
Date Issued
| Date Issued |
|---|
2022 |
Is part of
LLOD Approaches for Language Data Research and Management LLODREAM2022 : International Scientific Interdisciplinary Conference, September 21-22, 2022 : Abstract Book. ISBN 9786094880414
Field of Science
Abstract (en)
Purpose: OntoLex-Lemon is a widely used community standard for publishing lexical resources in machine-readable form, and is in fact the predominant RDF vocabulary for this purpose. With the growing popularity and increasing adoption of this model for applications in both language technology and lexicography, a number of new modules have been developed in the past year to complement the OntoLex core vocabulary and its lexicographic follow up, lexicog. In this paper, we describe the current status of the development of the OntoLex-Morph vocabulary.
Type of document
type::text::journal::journal article::research article
Language
Anglų / English (en)
Access Rights
Atviroji prieiga / Open Access