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Publishing Linked Data on the Web: The Multilingual Dimension

  • Daniel Vila-SueroEmail author
  • Asunción Gómez-Pérez
  • Elena Montiel-Ponsoda
  • Jorge Gracia
  • Guadalupe Aguado-de-Cea
Chapter
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Abstract

Linked Data technologies and methods are enabling the creation of a data network where pieces of data are interconnected on the Web using machine-readable formats such as Resource Description Framework (RDF). This paradigm offers great opportunities to connect and make available knowledge in different languages. However, in order to make this vision a reality, there is a need for guidelines, techniques, and methods that allow publishers of data to overcome language and technological barriers. In this chapter, we review existing methodologies from the point of view of multilingualism and propose a series of guidelines to help publishers when publishing Linked Data in several languages.

Key Words

Linked data Multilingual linked data Semantic web 
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Notes

Acknowledgments

This work has been supported by the BabelData (TIN2010-17550) and myBigData (TIN2010-17060) Spanish projects and by the FP7 Monnet (FP7-ICT-4-248458) and FP7 Lider (FP7-ICT-2013.4.1) European projects. The authors would also like to thank the editors and the anonymous reviewers for their valuable suggestions and Luis Vilches-Blázquez for providing the examples of geo.linkeddata.es.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Daniel Vila-Suero
    • 1
    Email author
  • Asunción Gómez-Pérez
    • 1
  • Elena Montiel-Ponsoda
    • 1
  • Jorge Gracia
    • 1
  • Guadalupe Aguado-de-Cea
    • 1
  1. 1.Ontology Engineering GroupUniversidad Politécnica de MadridMadridSpain

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