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.

SHELDON: Semantic Holistic framEwork for LinkeD Ontology data

Consoli Sergio;Gangemi Aldo;Presutti Valentina;Reforgiato Recupero Diego
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.
2014
Istituto di Scienze e Tecnologie della Cognizione - ISTC
Inglese
EKAW
Linköping
none
info:eu-repo/semantics/conferenceObject
Consoli, Sergio; Gangemi, Aldo; Nuzzolese Andrea, Gangemi; Presutti, Valentina; REFORGIATO RECUPERO, DIEGO ANGELO GAETANO
275
04 Contributo in convegno::04.03 Poster in Atti di convegno
5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/301111
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