Linguistic Linked Open Data Cloud

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


This chapter introduces the Linguistic Linked Open Data (LLOD) Cloud. In recent years, there has been increasing interest in publishing linguistic datasets following linked data principles. A number of community-driven activities, foremost organized by the Open Linguistics Working Group (OWLG), have fostered and supported the publication of open linguistic datasets and have defined criteria for when a dataset can be regarded as forming part of the so-called LLOD. The LLOD cloud represents an index and temporal snapshot of the linguistic datasets that have been published on the Web following Linked Open Data principles. The LLOD cloud is a result of a coordinated effort of the OWLG, its members and collaborating initiatives, most notably the W3C Ontology-Lexica Community Group (OntoLex), which focuses on modelling lexico-semantic resources as linked data. The LLOD cloud is visualized by means of a cloud diagram that displays all the resources with their relative sizes and their connections. In this chapter we describe the efforts by many community activities and groups that have fostered the creation of the Linguistic Linked Open Data Cloud. We also describe the methodologies and principles that allow anyone to publish a dataset that can be included in the Linguistic Linked Open Data Cloud.


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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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