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SHELDON: Semantic holistic framework for linked ontology data

Contributo in Atti di convegno
Data di Pubblicazione:
2015
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 humanreadable web by using semantic best practices and technologies in a machine-processable form. Given a sentence in any language, it provides different semantic tasks as well as nice visualization tools which make use of the JavaScript infoVis Toolkit and a knowledge enrichment component on top of RelFinder. The system can be freely used at http://wit.istc.cnr.it/stlab-tools/sheldon.
Tipologia CRIS:
04.01 Contributo in Atti di convegno
Keywords:
semantic technologies; machine reading; interface for
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/20.500.14243/308163
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