Observatorio de I+D+i UPM

Memorias de investigación
Ponencias en congresos:
Towards a Module for Lexicography in OntoLex
Año:2017
Áreas de investigación
  • Ciencias de la computación y tecnología informática
Datos
Descripción
Dictionaries are increasingly being transformed into linguistic linked lata (LLD) relying on the lemon and OntoLex models, but this conversion is not always straightforward. For both linked data (LD) based applications to exploit all content provided in dictionaries and lexicographers adopting LD technologies, the original data and structure should be retrievable from the LLD version to prevent any loss of information in the transformation. In this position statement we motivate the need for a new module in OntoLex targeted at the representation of dictionaries and which will address structures and annotations commonly found in lexicography. Some of the issues we identi?ed in our initial experiences are presented as input for discussion, along with our initial approaches to solve them. Such a module is intended to be compatible with other modules in OntoLex and should guarantee information preservation, making LD a viable mechanism for lexicographers in the development of lexica.
Internacional
Si
Nombre congreso
1st Workshop on the OntoLex Model, co-located with the Language, Data and Knowledge conference (LDK?17)
Tipo de participación
960
Lugar del congreso
Galway, Irlanda
Revisores
Si
ISBN o ISSN
1613-0073
DOI
Fecha inicio congreso
18/06/2017
Fecha fin congreso
18/06/2017
Desde la página
74
Hasta la página
84
Título de las actas
Proc. of the LDK workshops: OntoLex, TIAD and Challenges for Wordnets at 1st Language Data and Knowledge conference (LDK 2017), Galway, Ireland
Esta actividad pertenece a memorias de investigación
Participantes
  • Autor: Julia Bosque Gil (UPM)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
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