SHELDON: Semantic Holistic FramEwork for LinkeD ONtology Data
| Autor: | Andrea Giovanni Nuzzolese, Aldo Gangemi, Valentina Presutti, Sergio Consoli, Diego Reforgiato Recupero |
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| Rok vydání: | 2015 |
| Předmět: |
Computer science
business.industry Ontology-based data integration Sentiment analysis Linked data Ontology (information science) JavaScript computer.software_genre World Wide Web Ontology Upper ontology Artificial intelligence business computer Semantic Web Natural language processing Sentence computer.programming_language |
| Zdroj: | Lecture Notes in Computer Science ISBN: 9783319179650 EKAW (Satellite Events) EKAW, Linköping, 2014 info:cnr-pdr/source/autori:Consoli, Sergio; Gangemi, Aldo; Nuzzolese, Andrea Gangemi; Presutti, Valentina; Reforgiato Recupero, Diego/congresso_nome:EKAW/congresso_luogo:Linköping/congresso_data:2014/anno:2014/pagina_da:/pagina_a:/intervallo_pagine |
| DOI: | 10.1007/978-3-319-17966-7_17 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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