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Published in:
2015 | OriginalPaper | Chapter
SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data
Authors : Diego Reforgiato Recupero, Andrea Giovanni Nuzzolese, Sergio Consoli, Aldo Gangemi, Valentina Presutti
Published in: Knowledge Engineering and Knowledge Management
Publisher: Springer International Publishing
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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
.