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.

SHELDON: Semantic holistic framework for linked ontology data

Nuzzolese AG;Consoli S;Gangemi A;Presutti V
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.
2015
Inglese
Knowledge Engineering and Knowledge Management
8982
136
139
http://www.scopus.com/inward/record.url?eid=2-s2.0-84928557735&partnerID=q2rCbXpz
Sì, ma tipo non specificato
24-28/11/2014
semantic technologies
machine reading
interface for
4
none
Recupero D.R.; Nuzzolese A.G.; Consoli S.; Gangemi A.; Presutti V.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/308163
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