This paper proposes a method for evaluating the semantic similarity of GML elements (concepts). Due to the relevance of the Is-in relationship in the geographic context, it focuses on GML elements organized according to Part-of (meronymic) hierarchies. It also proposes the method's application to Part-of hierarchies, due to the semantics of the meronymic relationship within the geographic context, referred to as "place-area". This semantics essentially concerns parts which are similar to and inseparable from the whole. A further contribution refers to the modeling of the Part-of hierarchy in GML. In particular, from the perspective of applying the information content approach to Part-of hierarchies, this paper proposes a method to represent and distinguish the concepts involved in the meronymic relationship within the element hierarchy.

Evaluating semantic similarity using GML in Geographic Information Systems

Fernando Ferri;Anna Formica;Patrizia Grifoni;Maurizio Rafanelli
2005

Abstract

This paper proposes a method for evaluating the semantic similarity of GML elements (concepts). Due to the relevance of the Is-in relationship in the geographic context, it focuses on GML elements organized according to Part-of (meronymic) hierarchies. It also proposes the method's application to Part-of hierarchies, due to the semantics of the meronymic relationship within the geographic context, referred to as "place-area". This semantics essentially concerns parts which are similar to and inseparable from the whole. A further contribution refers to the modeling of the Part-of hierarchy in GML. In particular, from the perspective of applying the information content approach to Part-of hierarchies, this paper proposes a method to represent and distinguish the concepts involved in the meronymic relationship within the element hierarchy.
2005
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS
978-3-540-29739-0
File in questo prodotto:
File Dimensione Formato  
prod_178733-doc_13432.pdf

solo utenti autorizzati

Descrizione: Evaluating semantic similarity using GML in Geographic Information Systems
Dimensione 248.67 kB
Formato Adobe PDF
248.67 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

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/20.500.14243/14852
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 10
  • ???jsp.display-item.citation.isi??? 8
social impact