SCARLET: SemantiC relAtion discoveRy by harvesting onLinE onTologies

Sabou, Marta; d'Aquin, Mathieu and Motta, Enrico (2008). SCARLET: SemantiC relAtion discoveRy by harvesting onLinE onTologies. In: The 5th Annual European Semantic Web Conference (ESWC 2008), 1-5 Jun 2008, Tenerife, Spain.

DOI: https://doi.org/10.1007/978-3-540-68234-9_72

URL: http://www.eswc2008.org/demos.html

Abstract

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.

Viewing alternatives

Metrics

Item Actions

Export

You can export this page using these formats Digital Object Identifier - DOI

About

• Item ORO ID
• 23496
• Item Type
• Conference or Workshop Item
• ISSN
• 0302-9743
• Extra Information
• The Semantic Web: Research and Applications
  
  5th European Semantic Web Conference, ESWC 2008, Tenerife, Canary Islands, Spain, June 1-5, 2008 Proceedings
  
  Sean Bechhofer, Manfred Hauswirth, Jörg Hoffmann and Manolis Koubarakis
  
  (ISSN 0302-9743)
• Academic Unit or School
• Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
  Faculty of Science, Technology, Engineering and Mathematics (STEM)
• Research Group
• Centre for Research in Computing (CRC)
• Copyright Holders
• © 2008 Springer-Verlag
• Related URLs
• • http://www.eswc2008.org/demos/demo21.pdf(Other)
  • http://www.springerlink.com/content/628t...(Other)
• Depositing User
• Kay Dave