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