Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Modelling Multilingual Lexicographic Resources for the Web of Data: the K Dictionaries case
Year:2016
Research Areas
  • Artificial intelligence
Information
Abstract
Lexicographic resources can highly benefit from Semantic Web technologies, specifically, linked data technologies, since such resources cannot only become easy to access and query, but also easy to share and link to resources that contain complementary information, contributing to the creation of a huge graph of interlinked lexical and linguistic resources. In this paper, we present the methodology we have followed for the transformation of a lexicographic resource, namely, the Spanish dataset of K Dictionaries's Global series, from its proprietary XML format to RDF, according to the lemon-ontolex model, ade-facto standard for representing lexical information in the Web of Data. We describe in detail the original resource, the design decisions taken for the transformation process, the model chosen for the representation of the dataset, as well as the extensions made to the model to accommodate specific modelling needs of the original source. The core of the representation model is described in detail in order to illustrate the issues encountered and how they have been solved in this first prototype, which could serve to lay the foundations for future transformations.
International
Si
Congress
GLOBALEX Workshop 2016: Lexicographic Resources for Human Language Technology, simultáneo con Language Resources and Evaluation Conference (LREC 2016)
960
Place
Portoroz, Eslovenia
Reviewers
Si
ISBN/ISSN
978-2-9517408-9-1
Start Date
24/05/2016
End Date
24/05/2016
From page
65
To page
72
Porceedings of GLOBALEX Workshop 2016: Lexicographic Resources for Human Language Technology
Participants
  • Autor: Julia Bosque Gil (UPM)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
  • Departamento: Lingüística Aplicada a la Ciencia y a la Tecnología
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