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 …

Research data is accumulating rapidly and with it the challenge of fully reproducible
science. As a consequence, implementation of high-quality management of scientific data …

Several scholarly knowledge graphs have been proposed to model and analyze the
academic landscape. However, although the number of data sets has increased remarkably …

In the last decades, we experienced a continuously increasing publication rate of scientific
articles and related research objects (eg, data sets, software packages). As this trend keeps …

Abstract Since 2012, the “Open Researcher and Contributor ID” organisation (ORCID) has
been successfully running a worldwide registry, with the aim of “providing a unique …

Scholarly knowledge graphs (SKG) are knowledge graphs representing research-related
information, powering discovery and statistics about research impact and trends. Author …

In this paper, we champion the use of structured and semantic content representation of
discourse-based scholarly communication, inspired by tools like Wikipedia infoboxes or …

Researchers seeking to comprehend the state-of-the-art innovations in a particular field of
study must examine recent patents and scientific articles in that domain. Innovation …

Deduplication is a technique aiming at identifying and resolving duplicate metadata records
in a collection. This article describes FDup (Flat Collections Deduper), a general-purpose …

In this work, we explore the problem of correctly and efficiently answering complex SPJ
queries issued directly on top of dirty data. We introduce QueryER, a framework that …