The Semantic Web: Research and Applications

Volume 5021 of the series Lecture Notes in Computer Science pp 854-858

SCARLET: SemantiC RelAtion DiscoveRy by Harvesting OnLinE OnTologies

  • Marta SabouAffiliated withKnowledge Media Institute (KMi), The Open University
  • , Mathieu d’AquinAffiliated withKnowledge Media Institute (KMi), The Open University
  • , Enrico MottaAffiliated withKnowledge Media Institute (KMi), The Open University

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We present a demo of SCARLET, a technique for discovering 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 integrated 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.