Ontologies play a crucial role in the development of the Semantic Web as a means for
defining shared terms in web resources. They are formulated in web ontology languages …

It is widely recognized today that the management of imprecision and vagueness will yield
more intelligent and realistic knowledge-based applications. Description Logics (DLs) are a …

This book is the first to combine coverage of fuzzy logic and Semantic Web languages. It
provides in-depth insight into fuzzy Semantic Web languages for non-fuzzy set theory and …

Classical ontologies are not suitable to represent vague pieces of information, which has
lead to the birth of Fuzzy Description Logics as an appropriate formalism to represent this …

Fuzzy description logics (DLs) can be used to represent and reason with vague knowledge.
This family of logical formalisms is very diverse, each member being characterized by a …

Managing uncertainty and/or vagueness is starting to play an important role in Semantic
Web representation languages. Our aim is to overview basic concepts on representing …

Abstract Mathematical Fuzzy Logics 51, 60 have a long tradition with roots going back to the
many-valued logics of Łukasiewicz, Gödel, and Kleene 57, 68, 73 and the Fuzzy Set Theory …

Fuzzy Description Logics (fuzzy DLs) have been proposed as a language to describe
structured knowledge with vague concepts. A major theoretical and computational limitation …

Fuzzy Description Logics (fuzzy DLs) have been proposed as a language to describe
structured knowledge with vague concepts. In [19], a solution based on Mixed Integer Linear …

Information imprecision and uncertainty exist in many real world applications, and such
information would be retrieved, processed, shared, reused, and aligned in the maximum …