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SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data

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Knowledge Engineering and Knowledge Management (EKAW 2014)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 8982))

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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Author information

Authors and Affiliations

  1. STLab-ISTC Consiglio Nazionale delle Ricerche, Catania, Italy

    Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi & Valentina Presutti

  2. LIPN Sorbonne-Cité, Université de Paris-13, Villetaneuse, France

    Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi & Valentina Presutti

Authors
  1. Diego Reforgiato Recupero
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  2. Andrea Giovanni Nuzzolese
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  3. Sergio Consoli
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  4. Aldo Gangemi
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  5. Valentina Presutti
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Corresponding author

Correspondence to Diego Reforgiato Recupero .

Editor information

Editors and Affiliations

  1. Linköping University, Linköping, Sweden

    Patrick Lambrix

  2. Aalto University, Espoo, Finland

    Eero Hyvönen

  3. Linköping University, Linköping, Sweden

    Eva Blomqvist

  4. STLab ISTC-CNR, Rome, Italy

    Valentina Presutti

  5. Southeast University, Nanjing, Jiangsu, China

    Guilin Qi

  6. University of Manchester, Manchester, United Kingdom

    Uli Sattler

  7. Indiana University Bloomington, Bloomington, Indiana, USA

    Ying Ding

  8. Fondazione Bruno Kessler, Trento, Italy

    Chiara Ghidini

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© 2015 Springer International Publishing Switzerland

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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. Knowledge Engineering and Knowledge Management. EKAW 2014. Lecture Notes in Computer Science(), vol 8982. Springer, Cham. https://doi.org/10.1007/978-3-319-17966-7_17

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  • DOI: https://doi.org/10.1007/978-3-319-17966-7_17

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-17965-0

  • Online ISBN: 978-3-319-17966-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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