In this paper, we first explain why human-like dialogue understanding is so difficult for
artificial intelligence (AI). We discuss various methods for testing the understanding …

Smart speakers such as Alexa and Google Home introduced Artificial Intelligence (AI) in
millions soon billions of households, making AI an everyday experience. We can now look …

This paper is a survey of the research topics in the field of Semantic Web, Linked Data and
Web of Data. This study looks at the contributions of this research community over its first …

In this paper, we present an ontology-based information extraction and retrieval system and
its application in the soccer domain. In general, we deal with three issues in semantic …

In this paper we provide a classification of adaptive systems with respect to the kind of
semantic technology they exploit to accomplish or improve specific adaptation and user …

This paper provides an overview of prominent deep learning toolkits and, in particular,
reports on recent publications that contributed open source software for implementing tasks …

Technologies, such as smart sensors, actuators, and other kinds of devices, are often
installed in our environments (eg, our Homes) and available to integrate our daily lives …

Recent advances in the fields of knowledge representation, reasoning and human-computer
interaction have paved the way for a novel approach to treating and handling context. The …

The objective of the Semiotic-based Ontology Evaluation Tool (S-OntoEval) is to evaluate
and propose improvements to a given ontological model. The evaluation aims at assessing …

Introducing Spoken Dialogue Systems into Intelligent Environments outlines the formalisms
of a novel knowledge-driven framework for spoken dialogue management and presents the …