Data di Pubblicazione:
2012
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.
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.
Tipologia CRIS:
01.01 Articolo in rivista
Keywords:
Formal Concept Analysis; Fuzzy information; Rough set theory
Elenco autori:
Formica, Anna
Link alla scheda completa:
Pubblicato in: