The need to deal with vague information in Semantic Web languages is rising in importance
and, thus, calls for a standard way to represent such information. We may address this issue …

The Ebola virus and the disease in effect tend to randomly move individuals in the
population around susceptible, infected, quarantined, hospitalized, recovered, and dead sub …

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 …

The need to address the challenge of vagueness across several domains of applicability of
ontology is gaining research attention. The presence of vagueness in knowledge …

The last couple of years it is widely acknowledged that uncertainty and fuzzy extensions to
ontology languages, like Description Logics (DLs) and OWL, could play a significant role in …

We investigate the problem of pedestrian detection in still images. Sliding window
classifiers, notably using the Histogram-of-Gradient (HOG) features proposed by Dalal and …

The Semantic Web is an extension of the current web, where information would have
precisely defined meaning, based on knowledge representation languages. The current …

This paper presents a minimalistic reasoning algorithm to solve imprecise instance retrieval
in fuzzy ontologies with application to querying Building Information Models (BIMs)—a …

In this paper, we present the design of ONDINE system which allows the loading and the
querying of a data warehouse opened on the Web, guided by an Ontological and …

Today, there is a growing interest in the development of knowledge representations able to
deal with uncertainty, which is a very common requirement in real world applications …