Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Guidelines for multilingual linked data
Year:2013
Research Areas
  • Computer systems,
  • Computational linguistics
Information
Abstract
In this article, we argue that there is a growing number of linked datasets in different natural languages, and that there is a need for guidelines and mechanisms to ensure the quality and organic growth of this emerging multilingual data network. However, we have little knowledge regarding the actual state of this data network, its current practices, and the open challenges that it poses. Questions regarding the distribution of natural languages, the links that are established across data in different languages, or how linguistic features are represented, remain mostly unanswered. Addressing these and other language-related issues can help to identify existing problems, propose new mechanisms and guidelines or adapt the ones in use for publishing linked data including language-related features, and, ultimately, provide metrics to evaluate quality aspects. In this article we review, discuss, and extend current guidelines for publishing linked data by focusing on those methods, techniques and tools that can help RDF publishers to cope with language barriers. Whenever possible, we will illustrate and discuss each of these guidelines, methods, and tools on the basis of practical examples that we have encountered in the publication of the datos.bne.es dataset.
International
Si
Congress
3rd International Conference on Web Intelligence, Mining and Semantics (WIMS'13)
960
Place
Madrid
Reviewers
Si
ISBN/ISSN
978-1-4503-1850-1
Start Date
12/06/2013
End Date
14/06/2013
From page
1
To page
11
3rd International Conference on Web Intelligence, Mining and Semantics (WIMS'13)
Participants
  • Autor: Asuncion de Maria Gomez Perez (UPM)
  • Autor: Daniel Vila Suero (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
  • Autor: Jorge Gracia Del Rio (UPM)
  • Autor: Guadalupe Aguado De Cea (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Lingüistica Aplicada a la ciencia y a la Tecnología
  • Departamento: Inteligencia Artificial
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