SCARLET: SemantiC RelAtion DiscoveRy by Harvesting OnLinE OnTologies
نویسندگان
چکیده
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.
منابع مشابه
Relation Discovery from the Semantic Web
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...
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تاریخ انتشار 2008