SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data

  • Diego Reforgiato Recupero
  • Andrea Giovanni Nuzzolese
  • Sergio Consoli
  • Aldo Gangemi
  • Valentina Presutti
Conference paper

DOI: 10.1007/978-3-319-17966-7_17

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8982)
Cite this paper as:
Recupero D.R., Nuzzolese A.G., Consoli S., Gangemi A., Presutti V. (2015) SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data. In: Lambrix P. et al. (eds) Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science, vol 8982. Springer, Cham

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 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.

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Diego Reforgiato Recupero
    • 1
    • 2
  • Andrea Giovanni Nuzzolese
    • 1
    • 2
  • Sergio Consoli
    • 1
    • 2
  • Aldo Gangemi
    • 1
    • 2
  • Valentina Presutti
    • 1
    • 2
  1. 1.STLab-ISTC Consiglio Nazionale delle RicercheCataniaItaly
  2. 2.LIPN Sorbonne-CitéUniversité de Paris-13VilletaneuseFrance

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