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Knowledge Engineering and Knowledge Management

Volume 8982 of the series Lecture Notes in Computer Science pp 136-139

Date:

SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data

  • Diego Reforgiato RecuperoAffiliated withSTLab-ISTC Consiglio Nazionale delle RicercheLIPN Sorbonne-Cité, Université de Paris-13 Email author 
  • , Andrea Giovanni NuzzoleseAffiliated withSTLab-ISTC Consiglio Nazionale delle RicercheLIPN Sorbonne-Cité, Université de Paris-13
  • , Sergio ConsoliAffiliated withSTLab-ISTC Consiglio Nazionale delle RicercheLIPN Sorbonne-Cité, Université de Paris-13
  • , Aldo GangemiAffiliated withSTLab-ISTC Consiglio Nazionale delle RicercheLIPN Sorbonne-Cité, Université de Paris-13
  • , Valentina PresuttiAffiliated withSTLab-ISTC Consiglio Nazionale delle RicercheLIPN Sorbonne-Cité, Université de Paris-13

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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.