作者: Andrea Giovanni Nuzzolese , Aldo Gangemi , Valentina Presutti , Francesco Draicchio , Alberto Musetti
DOI: 10.1007/978-3-642-41242-4_34
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摘要: In this paper we demonstrate the potentiality of Tipalo, a tool for automatically typing DBpedia entities. Tipalo identifies most appropriate types an entity in by interpreting its definition extracted from corresponding Wikipedia abstract. relies on FRED, ontology learning natural language text, and set graph-pattern-based heuristics which work output returned FRED order to select entity. The returns RDF graph composed rdf:type, rdfs:subClassOf, owl:sameAs, owl:equivalentTo statements providing information about Additionally are aligned two lists top-level concepts, i.e., Wordnet supersenses subset DOLCE Ultra Lite classes. is available as Web-based exposes API HTTP REST services.