Tìpalo identifies the most appropriate types for an entity in DBpedia by interpreting its definition extracted from its corresponding Wikipedia abstract. Tìpalo relies on FRED, a tool for ontology learning from natural language text, and on a set of graph-pattern-based heuristics which work on the output returned by FRED in order to select the most appropriate types for a DBpedia entity. The tool returns a RDF graph composed of rdf:type, rdfs:subClassOf, owl:sameAs, and owl:equivalentTo statements providing typing information about the entity. Additionally the types are aligned to two lists of top-level concepts, i.e., Wordnet supersenses and a subset of DOLCE Ultra Lite classes. T&ipalo;palo is available as a Web-based tool and exposes its API as HTTP REST services.

Nuzzolese, A., Gangemi, A., Presutti, V., Draicchio, F., Musetti, A., Ciancarini, P. (2013). Tipalo.

Tipalo

NUZZOLESE, ANDREA GIOVANNI;Gangemi, A.;PRESUTTI, VALENTINA;DRAICCHIO, FRANCESCO;CIANCARINI, PAOLO
2013

Abstract

Tìpalo identifies the most appropriate types for an entity in DBpedia by interpreting its definition extracted from its corresponding Wikipedia abstract. Tìpalo relies on FRED, a tool for ontology learning from natural language text, and on a set of graph-pattern-based heuristics which work on the output returned by FRED in order to select the most appropriate types for a DBpedia entity. The tool returns a RDF graph composed of rdf:type, rdfs:subClassOf, owl:sameAs, and owl:equivalentTo statements providing typing information about the entity. Additionally the types are aligned to two lists of top-level concepts, i.e., Wordnet supersenses and a subset of DOLCE Ultra Lite classes. T&ipalo;palo is available as a Web-based tool and exposes its API as HTTP REST services.
2013
Nuzzolese, A., Gangemi, A., Presutti, V., Draicchio, F., Musetti, A., Ciancarini, P. (2013). Tipalo.
Nuzzolese, A.; Gangemi, A.; Presutti, V.; Draicchio, F.; Musetti, A.; Ciancarini, P.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/593536
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