Context Dependent Semantic Granularity (Articolo in rivista)

Type
Label
  • Context Dependent Semantic Granularity (Articolo in rivista) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1504/IJDMMM.2011.041495 (literal)
Alternative label
  • Albertoni R., Camossi E., De Martino M., Giannini F., Monti M. (2011)
    Context Dependent Semantic Granularity
    in International journal of data mining, modelling and management (Print); Inderscience Enterprises Ltd., Geneva (Swaziland)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Albertoni R., Camossi E., De Martino M., Giannini F., Monti M. (literal)
Pagina inizio
  • 189 (literal)
Pagina fine
  • 215 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://inderscience.metapress.com/content/j1txn37645208305/ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 3,2 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Special Issue \"Advances in Mining, Modelling and Managing Complex Data\" ISSN (Online): 1759-1171 - ISSN (Print): 1759-1163, DOI:10.1504/IJDMMM.2011.041495 InderScience (literal)
Note
  • Scopu (literal)
  • Google Scholar (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • IMATI-GE, Consiglio Nazionale delle Ricerche, Via De Marini, 6, Torre di Francia, Genova, 16149, Italy; European Commission, Joint Research Centre, Institute for the Protection and the Security of the Citizen, Via Enrico Fermi 2749, I - 21027 Ispra (VA), Italy. (literal)
Titolo
  • Context Dependent Semantic Granularity (literal)
Abstract
  • A fundamental issue to improve the accessibility to information resources is how to efficiently deal with huge amount(s) of data. In this respect, ontology driven techniques are expected to improve the overlap between the Cognitive Space applied by the user and the Information Space, which is defined by the information providers. In this paper we describe a powerful method to extract semantic granularities, which enable the navigation of a repository according to different levels of abstraction. In the formalisation we present, granularities are explicitly parameterised according to criteria induced by the context, which improves the method flexibility. Furthermore, the parameterisation assists the user allowing to formulate and refine the browsing criteria. Case studies are described to demonstrate how granularities ease the information sources browsing and to illustrate how they may vary according to the context. A validation of the cognitive principles behind the method is presented, together with the analysis of the results obtained by the experimentation. (literal)
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