Guidelines for multilingual linked data

  • Authors:

  • Asunción Gómez-Pérez;Daniel Vila-Suero;Elena Montiel-Ponsoda;Jorge Gracia;Guadalupe Aguado-de-Cea

  • Affiliations:

  • Universidad Politécnica de Madrid;Universidad Politécnica de Madrid;Universidad Politécnica de Madrid;Universidad Politécnica de Madrid;Universidad Politécnica de Madrid

  • Venue:
  • Proceedings of the 3rd International Conference on Web Intelligence, Mining and Semantics
  • Year:
  • 2013

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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.