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SHELDON: Semantic Holistic framEwork for LinkeD Ontology data

Poster
Data di Pubblicazione:
2014
Abstract:
SHELDON is a framework that builds upon a machine reader for extracting RDF graphs from text so that the output is compliant to Semantic Web and Linked Data patterns. It extends the current human- readable web by using semantic best practices and technologies in a machine-processable form. Given a sentence in any language, it pro- vides different semantic tasks as well as nice visualization tools which make use of the JavaScript infoVis Toolkit and a knowledge enrich- ment component on top of RelFinder. The system can be freely used at http://wit.istc.cnr.it/stlab-tools/sheldon.
Tipologia CRIS:
04.03 Poster in Atti di convegno
Elenco autori:
Nuzzolese, ANDREA GIOVANNI; Consoli, Sergio; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Gangemi, Aldo; Presutti, Valentina
Autori di Ateneo:
GANGEMI ALDO
NUZZOLESE ANDREA GIOVANNI
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/301111
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