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).

Nuzzolese, A.G., Presutti, V., Gangemi, A., Ciancarini, P. (2018). Extending ScholarlyData with Research Impact Indicators. Springer Verlag [10.1007/978-3-030-01379-0_4].

Extending ScholarlyData with Research Impact Indicators

Nuzzolese, Andrea Giovanni;Presutti, Valentina;Gangemi, Aldo;Ciancarini, Paolo
2018

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).
2018
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
49
60
Nuzzolese, A.G., Presutti, V., Gangemi, A., Ciancarini, P. (2018). Extending ScholarlyData with Research Impact Indicators. Springer Verlag [10.1007/978-3-030-01379-0_4].
Nuzzolese, Andrea Giovanni*; Presutti, Valentina; Gangemi, Aldo; Ciancarini, Paolo
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/673626
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