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

REFORGIATO RECUPERO, DIEGO ANGELO GAETANO;
2015-01-01

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
File in questo prodotto:
File Dimensione Formato  
sheldon_lecture_notes.pdf

Solo gestori archivio

Tipologia: versione editoriale (VoR)
Dimensione 577.13 kB
Formato Adobe PDF
577.13 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/141750
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 0
social impact