With the explosive growth of artificial intelligence (AI) and big data, it has become vitally
important to organize and represent the enormous volume of knowledge appropriately. As …

Knowledge graphs are widely used in industry and studied within the academic community.
However, the models applied in the development of knowledge graphs vary. Analysing and …

In recent years, knowledge graphs (KGs) have been widely applied in various domains for
different purposes. The semantic model of KGs can represent knowledge through a …

Science communication has a number of bottlenecks that include the rising number of
published research papers and its non-machine-accessible and document-based paradigm …

In the last few years, chatbots have become mainstream solutions adopted in a variety of
domains for automatizing communication at scale. In the same period, knowledge graphs …

In recent years, we saw the emergence of several approaches for producing machine-
readable, semantically rich, interlinked description of the content of research publications …

The tourism and hospitality sectors have become increasingly important in the last few years
and the companies operating in this field are constantly challenged with providing new …

Abstract Reconfigurable Manufacturing System (RMS) provides a cost-effective approach for
manufacturers to adapt to fluctuating market demands by reconfiguring assets through …

In this paper, we present Knowledge4COVID-19, a framework that aims to showcase the
power of integrating disparate sources of knowledge to discover adverse drug effects …

With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …