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Semantic Web Machine Reading with FRED

Academic Article
Publication Date:
2017
abstract:
A machine reader is a tool able to transform natural language text to formal structured knowledge so as the latter can be interpreted by machines, according to a shared semantics. FRED is a machine reader for the semantic web: its output is a RDF/OWL graph, whose design is based on frame semantics. Nevertheless, FRED's graph are domain and task independent making the tool suitable to be used as a semantic middleware for domain- or task-specific applications. To serve this purpose, it is available both as REST service and as Python library. This paper provides details about FRED's capabilities, design issues, implementation and evaluation.
Iris type:
01.01 Articolo in rivista
Keywords:
Machine reading; knowledge extraction; Semantic Web; Linked Data; event extraction
List of contributors:
REFORGIATO RECUPERO, DIEGO ANGELO GAETANO; Gangemi, Aldo; Presutti, Valentina; Nuzzolese, ANDREA GIOVANNI
Authors of the University:
GANGEMI ALDO
NUZZOLESE ANDREA GIOVANNI
Handle:
https://iris.cnr.it/handle/20.500.14243/329100
Published in:
SEMANTIC WEB (PRINT)
Journal
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URL

http://content.iospress.com/articles/semantic-web/sw240
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