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EnglishSHELDON 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
| Titolo: | SHELDON: Semantic Holistic framEwork for LinkeD Ontology data | |
| Autori: | ||
| Data di pubblicazione: | 2015 | |
| Serie: | ||
| 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 | |
| Handle: | http://hdl.handle.net/11584/141750 | |
| Tipologia: | 4.1 Contributo in Atti di convegno |
File in questo prodotto:
| File | Descrizione | Tipologia | Licenza | |
|---|---|---|---|---|
| sheldon_lecture_notes.pdf | versione editoriale | Administrator Richiedi una copia |
http://hdl.handle.net/11584/141750
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