Converting Language Resources into Linked Data

  • Philipp Cimiano
  • Christian Chiarcos
  • John P. McCrae
  • Jorge Gracia


In previous chapters, we discussed how to model linguistic data sets using the Resource Description Framework as a basis to publish them as linked data on the Web. In this chapter, we describe a methodology that can be followed in the transformation of legacy linguistic datasets into linked data. The methodology comprises of different tasks, including the specification, modelling, generation, linking, publication and exploitation of the data. We will discuss specific guidelines that can be applied in the transformation of particular types of resources, such as bilingual/multilingual dictionaries, WordNets, terminologies and corpora.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Semantic Computing GroupBielefeld UniversityBielefeldGermany
  2. 2.Angewandte ComputerlinguistikGoethe-UniversityFrankfurt am MainGermany
  3. 3.Insight Centre for Data AnalyticsNational University of IrelandGalwayIreland
  4. 4.Aragon Institute of Engineering Research (I3A)University of ZaragozaZaragozaSpain

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