Similarity reasoning for the semantic web based on fuzzy concept lattices: An informal approach

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.