PubMed® is an essential resource for the medical domain, but useful concepts are either
difficult to extract or are ambiguous, which has significantly hindered knowledge discovery …

Although several large knowledge graphs have been proposed in the scholarly field, such
graphs are limited with respect to several data quality dimensions such as accuracy and …

The scientific ecosystem relies on citation-based metrics that provide only imperfect,
inconsistent and easily manipulated measures of research quality. Here we describe …

Science across all disciplines has become increasingly data-driven, leading to additional
needs with respect to software for collecting, processing and analysing data. Thus …

Abstract Knowledge graph as a research topic is increasingly popular to represent structural
relations between entities. Recent years have witnessed the release of various open-source …

OpenAlex is a new, fully-open scientific knowledge graph (SKG), launched to replace the
discontinued Microsoft Academic Graph (MAG). It contains metadata for 209M works (journal …

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 …

Background Biomedical knowledge bases (KB's) have become important assets in life
sciences. Prior work on KB construction has three major limitations. First, most biomedical …

Drug discovery and development is a complex and costly process. Machine learning
approaches are being investigated to help improve the effectiveness and speed of multiple …

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