Recent work in Machine Learning and Computer Vision has highlighted the
...
When building a new application we are increasingly confronted with the ...
Data quality is critical for multimedia tasks, while various types of
sy...
We discuss two kinds of semantics relevant to Computer Vision (CV) syste...
More and more, with the growing focus on large scale analytics, we are
c...
The development of domain ontological models, though being a mature rese...
One of the major barriers to the training of algorithms on knowledge gra...
Semantic Heterogeneity is conventionally understood as the existence of
...
Recent work in Machine Learning and Computer Vision has provided evidenc...
The emergence of smart cities as a specific concept is not very old. In
...
Ontological knowledge modelling of epics, though being an established
re...
We base our work on the teleosemantic modelling of concepts as abilities...
It is needless to mention the (already established) overarching importan...
We propose a novel approach to the problem of semantic heterogeneity whe...
We assume that substances in the world are represented by two types of
c...
It is a fact that, when developing a new application, it is virtually
im...