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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.

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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.

Item Type: Conference or Workshop Item
Copyright Holders: 2008 Springer-Verlag
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/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)
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Item ID: 23496
Depositing User: Kay Dave
Date Deposited: 17 Nov 2010 16:51
Last Modified: 08 May 2019 15:42
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