http://www.cnr.it/ontology/cnr/individuo/prodotto/ID195100
Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach (Articolo in rivista)
- Type
- Label
- Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach (Articolo in rivista) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
- 10.1007/s10796-011-9340-y (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
- 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
- Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach (literal)
- Abstract
- Similarity Reasoning in the presence of
vague information is becoming fundamental in several
research areas and, in particular, in the Semantic Web.
Fuzzy Formal Concept Analysis (FFCA) is a generalization
of Formal Concept Analysis (FCA) for modeling
uncertainty information. Although FFCA has
become very interesting for supporting different activities
for the development of the Semantic Web, in the
literature it is usually addressed at a technical level
and intended for a restricted audience. This paper proposes
a similarity measure for FFCA concepts. The
key notions underlying the proposed approach are presented
informally, in order to reach a broad audience of
readers. (literal)
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