SCARLET: SemantiC RelAtion DiscoveRy by Harvesting OnLinE OnTologies

Reka Marta Sabou, Mathieu d’Aquin, Enrico Motta

Publication: Contribution to conferenceConference poster


We present a demo of SCARLET, a technique for discover-
ing relations between two concepts by harvesting the Semantic Web, i.e.,
automatically finding and exploring multiple and heterogeneous online
ontologies. While we have primarily used SCARLET’s relation discovery
functionality to support ontology matching and enrichment tasks, it is
also available as a stand alone component that can potentially be inte-
grated in a wide range of applications. This demo will focus on presenting
SCARLET’s functionality and its different parametric settings that can
influence the trade-off between its accuracy and time performance.
Original languageEnglish
Publication statusPublished - 2008

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 102
  • 102001 Artificial intelligence
  • 102015 Information systems
  • 102022 Software development

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