Relation Discovery from the Semantic Web

Presented at: 7th International Semantic Web Conference (ISWC2008)

by Marta Sabou, Mathieu d'Aquin, Enrico Motta

Webpage: http://ceur-ws.org/Vol-401/iswc2008pd_submission_19.pdf
Webpage: http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-401/iswc2008pd_submission_19.pdf

Several Semantic Web specific tasks such as ontology learning/extension or ontology matching rely on identifying relations between two given concepts. Scarlet is a technique for discovering relations between two given concepts by exploring ontologies available on the Semantic Web as a source of background knowledge. By relying on semantic web search engines such as Watson, Scarlet automatically identifies and combines relevant information from multiple and heterogeneous online ontologies. Scarlet has already been used successfully to support a variety of tasks, but is also available as a stand alone component that can be reused in various other applications. This poster will be accompanied by a demo of Scarlet's functionality available through its Web based user interface.

Keywords: Scarlet, relation discovery, semantic web


Resource URI on the dog food server: http://data.semanticweb.org/conference/iswc/2008/paper/poster_demo/19


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