Extending ScholarlyData with Research Impact Indicators

Andrea Giovanni Nuzzolese, Valentina Presutti, Aldo Gangemi, Paolo Ciancarini

Abstract: ScholarlyData is the reference linked dataset of the Semantic Web community about papers, people, organisations, and events related to its academic conferences. In this paper we present an extension of such a linked dataset and its associated ontology (i.e. the conference ontology) in order to represent research impact indicators. The latter includes both traditional (e.g. citation count) and alternative indicators (e.g. altmetrics).