The Knowledge graph, a multi-relational graph that represents rich factual information
among entities of diverse classifications, has gradually become one of the critical tools for …

Knowledge graphs in manufacturing and production aim to make production lines more
efficient and flexible with higher quality output. This makes knowledge graphs attractive for …

Despite improved digital access to scholarly knowledge in recent decades, scholarly
communication remains exclusively document-based. In this form, scholarly knowledge is …

In recent years, the amount of data has increased exponentially, and knowledge graphs
have gained attention as data structures to integrate data and knowledge harvested from …

The continuous growth of scientific literature brings innovations and, at the same time, raises
new challenges. One of them is related to the fact that its analysis has become difficult due to …

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 …

The history-dependent behaviors of classical plasticity models are often driven by internal
variables evolved according to phenomenological laws. The difficulty to interpret how these …

This paper presents a new challenging information extraction task in the domain of materials
science. We develop an annotation scheme for marking information on experiments related …

Scientific knowledge has been traditionally disseminated and preserved through research
articles published in journals, conference proceedings, and online archives. However, this …

The necessity for scholarly knowledge mining and management has grown significantly as
academic literature and its linkages to authors produce enormously. Information extraction …