In this paper we present a technique for recognising locationnames in non-structured texts. Our approach is based on grammarrules devised for the Italian language and semantic web tools such asgeographic linked datasets, OWL ontologies, and SWRL rules, to handledata and reason about them, even in presence of name ambiguities. Tothe best of our knowledge, this is the first attempt of addressing theproblem of location recognition in the context of Italian texts with suchan ontological support.

An OWL framework for rule-based recognition of places in Italian non-structured text

CANTONE, Domenico;FORNAIA, ANDREA FRANCESCO;NICOLOSI ASMUNDO, MARIANNA;SANTAMARIA, DANIELE FRANCESCO;TRAMONTANA, EMILIANO ALESSIO
2016

Abstract

In this paper we present a technique for recognising locationnames in non-structured texts. Our approach is based on grammarrules devised for the Italian language and semantic web tools such asgeographic linked datasets, OWL ontologies, and SWRL rules, to handledata and reason about them, even in presence of name ambiguities. Tothe best of our knowledge, this is the first attempt of addressing theproblem of location recognition in the context of Italian texts with suchan ontological support.
Semantic web; Ontology; Rule based text recognition
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/75310
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact