Memorias de investigación
Ponencias en congresos:
Validating the OntoLex-lemon lexicography module with K Dictionaries multilingual data
Año:2019

Áreas de investigación
  • Ciencias de la computación y tecnología informática

Datos
Descripción
The OntoLex-lemon model has gradually acquired the status of de-facto standard for the representation of lexical information according to the principles of Linked Data (LD). Exposing the content of lexicographic resources as LD brings both benefits for their easier sharing, discovery, reusability and enrichment at a Web scale, as well as for their internal linking and better reuse of their components. However, with lemon being originally devised for the lexicalization of ontologies, a 1:1 mapping between its elements and those of a lexicographic resource is not always attainable. In this paper we report our experience of validating the new lexicog module of OntoLex-lemon, which aims at paving the way to bridge those gaps. To that end, we have applied the module to represent lexicographic data coming from the Global multilingual series of K Dictionaries (KD) as a real use case scenario of this module. Attention is drawn to the structures and annotations that lead to modelling challenges, the ways the lexicog module tackles them, and where this modelling phase stands as regards the conversion process and design decisions for KD?s Global series.
Internacional
Si
Nombre congreso
eLex 2019: Smart Lexicography
Tipo de participación
970
Lugar del congreso
Sintra, Portugal
Revisores
Si
ISBN o ISSN
2533-5626
DOI
Fecha inicio congreso
01/10/2019
Fecha fin congreso
03/10/2019
Desde la página
726
Hasta la página
746
Título de las actas
Electronic lexicography in the 21st century. Proceedings of the eLex 2019 conference https://elex.link/elex2019/proceedings-download/

Esta actividad pertenece a memorias de investigación

Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial