Semantic Web Search Based On Rough Sets And Fuzzy Formal Concept Analysis (Articolo in rivista)

Type
Label
  • Semantic Web Search Based On Rough Sets And Fuzzy Formal Concept Analysis (Articolo in rivista) (literal)
Anno
  • 2012-01-01T00:00:00+01:00 (literal)
Alternative label
  • Formica, A. (2012)
    Semantic Web Search Based On Rough Sets And Fuzzy Formal Concept Analysis
    in Knowledge-based systems
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Formica, A. (literal)
Pagina inizio
  • 40-47 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 26 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Available online 8 July 2011. doi: 10.1016/j.knosys.2011.06.018 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 8 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Istituto di Analisi dei Sistemi ed Informatica del CNR (literal)
Titolo
  • Semantic Web Search Based On Rough Sets And Fuzzy Formal Concept Analysis (literal)
Abstract
  • Fuzzy Formal Concept Analysis (FFCA) is a generalization of Formal Concept Analysis (FCA) for modeling uncertainty information. FFCA provides a mathematical framework which can support the construction of formal ontologies in the presence of uncertainty data for the development of the Semantic Web. In this paper, we show how rough set theory can be employed in combination with FFCA to perform Semantic Web search and discovery of information in the Web. (literal)
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