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Modelling Metadata of Language Resources

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

Abstract

LD technologies allow metadata of datasets to be exposed on the Web in order to improve their automated discovery, sharing and reuse by humans and software agents. In this chapter we deal with the representation of metadata for LRs, with the idea of enabling their cataloguing, discovery and later reuse. We will distinguish two types of metadata: general metadata, i.e. applicable to any type of LD dataset (e.g. author, license, title), and metadata that specifically describes the properties of LRs (e.g. typology, number of languages, number of words). To that end, in this chapter we will review the most commonly used models to document general metadata on the Web of Data, most prominently DCAT and DC-Terms. Then, we will describe Meta-Share.owl, a OWL vocabulary specifically designed for describing metadata of LRs as linked data.

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Copyright information

© 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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