SCARLET: semantic relation discovery by harvesting online ontologies

Authors:
Marta Sabou;Mathieu d'Aquin;Enrico Motta
Affiliations:
Knowledge Media Institute, The Open University, Milton Keynes;Knowledge Media Institute, The Open University, Milton Keynes;Knowledge Media Institute, The Open University, Milton Keynes
Venue:
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
Year:
2008

Citing 4
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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.