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Tìpalo: A Tool for Automatic Typing of DBpedia Entities

  • Andrea Giovanni Nuzzolese
  • Aldo Gangemi
  • Valentina Presutti
  • Francesco Draicchio
  • Alberto Musetti
  • Paolo Ciancarini
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7955)

Abstract

In this paper we demonstrate the potentiality of Tìpalo, a tool for automatically typing DBpedia entities. 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. Tìpalo is available as a Web-based tool and exposes its API as HTTP REST services.

Keywords

Word Sense Disambiguation Natural Language Text Ontology Learning Discourse Representation Theory Foundational Ontology 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Andrea Giovanni Nuzzolese
    • 1
    • 2
  • Aldo Gangemi
    • 1
    • 3
  • Valentina Presutti
    • 1
  • Francesco Draicchio
    • 1
  • Alberto Musetti
    • 1
  • Paolo Ciancarini
    • 1
    • 2
  1. 1.STLabISTC Consiglio Nazionale delle RicercheRomeItaly
  2. 2.Dipartimento di Scienze dell’InformazioneUniversità di BolognaItaly
  3. 3.LIPN, UMR CNRSUniversité Paris 13France

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