This paper challenges the familiar hierarchical partitioning of data fusion problems into 'levels'. The JDL data fusion model and its variants are seen as a method to partition a problem space in a way that tends to support different types of solutions. The layered view of fusion presented in these models is a rough engineering-based representation of a domain that has been addressed in analytically- and empirically-based models developed over centuries by philosophers and cognitive scientists. These ontological and cognitive models involve distinctions that are not all necessarily hierarchical or sequential. A hierarchical partitioning - while often convenient in characterizing fusion problems - should not be an impediment to fusion solutions that span the levels. A more flexible and comprehensive partitioning scheme is suggested

Levels?

SNIDARO, Lauro
2015

Abstract

This paper challenges the familiar hierarchical partitioning of data fusion problems into 'levels'. The JDL data fusion model and its variants are seen as a method to partition a problem space in a way that tends to support different types of solutions. The layered view of fusion presented in these models is a rough engineering-based representation of a domain that has been addressed in analytically- and empirically-based models developed over centuries by philosophers and cognitive scientists. These ontological and cognitive models involve distinctions that are not all necessarily hierarchical or sequential. A hierarchical partitioning - while often convenient in characterizing fusion problems - should not be an impediment to fusion solutions that span the levels. A more flexible and comprehensive partitioning scheme is suggested
9780982443866
File in questo prodotto:
File Dimensione Formato  
Levels.pdf

non disponibili

Tipologia: Versione Editoriale (PDF)
Licenza: Non pubblico
Dimensione 683.41 kB
Formato Adobe PDF
683.41 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: http://hdl.handle.net/11390/1101636
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 5
social impact