Andrea Mannocci (ISTI-CNR) :Scholarly Knowledge Engineering: applications, management and challenges
Channel: IIIA Hub
Date: 03/12/2021

Abstract
Over the last decade, research scaled up tremendously in terms of publications, research data, authors, contributing institutions, projects, and funding opportunities. Nowadays scientific progress, with its estimated 150 million literature corpus, an annual increase rate of around 1.5 million publications, and as many (open) research data, promoted research to a multifaceted, high-frequency, global-scale phenomenon that can be approached computationally thanks to the vast amount of data available.

It is therefore of paramount importance to study such an articulated, evolving system in order to understand its dynamics, patterns, internal equilibria, and interactions among the diverse scientific actors and entities.

Starting from the founding concepts introduced in the first part of the seminar, in this part, we will move towards big scholarly data engineering, its value proposition and main applications. Moreover, we will overview the main scholarly data sources and knowledge graphs, their characteristics and underpinning technologies.

Finally, we will take a closer look at the OpenAIRE Research Graph, its features, its construction and design choices, and its main challenges.