Citations within academic literature keep gaining more importance both for the work of scholars and for improving digital libraries related tools and services. We present in this article the preliminary results of an investigation on the characterisations of citations whose objective is to propose a framework for globally enriching citations with explicit information about their nature, role and characteristics. This article focuses on the set of properties we are studying to support the automatic analysis of large corpora of citations. This model is grounded on a literature review also detailed here, and has been submitted to a group of several hundreds of scholars of all disciplines in the form of a survey. The results confirm that these properties are perceived as useful.

Investigating Facets to Characterise Citations for Scholars / Di Iorio, Angelo*; Limpens, Freddy; Peroni, Silvio; Rotondi, Agata; Tsatsaronis, Georgios; Achtsivassilis, Jorgos. - STAMPA. - 10959:(2018), pp. 150-160. (Intervento presentato al convegno 3rd International Workshop on Semantics, Analytics, Visualization, SAVE-SD 2017 and 4th International Workshop on Semantics, Analytics, Visualization, SAVE-SD 2018 tenutosi a fra nel 2018) [10.1007/978-3-030-01379-0_11].

Investigating Facets to Characterise Citations for Scholars

Di Iorio, Angelo;LIMPENS, FREDDY;Peroni, Silvio;ROTONDI, AGATA;
2018

Abstract

Citations within academic literature keep gaining more importance both for the work of scholars and for improving digital libraries related tools and services. We present in this article the preliminary results of an investigation on the characterisations of citations whose objective is to propose a framework for globally enriching citations with explicit information about their nature, role and characteristics. This article focuses on the set of properties we are studying to support the automatic analysis of large corpora of citations. This model is grounded on a literature review also detailed here, and has been submitted to a group of several hundreds of scholars of all disciplines in the form of a survey. The results confirm that these properties are perceived as useful.
2018
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
150
160
Investigating Facets to Characterise Citations for Scholars / Di Iorio, Angelo*; Limpens, Freddy; Peroni, Silvio; Rotondi, Agata; Tsatsaronis, Georgios; Achtsivassilis, Jorgos. - STAMPA. - 10959:(2018), pp. 150-160. (Intervento presentato al convegno 3rd International Workshop on Semantics, Analytics, Visualization, SAVE-SD 2017 and 4th International Workshop on Semantics, Analytics, Visualization, SAVE-SD 2018 tenutosi a fra nel 2018) [10.1007/978-3-030-01379-0_11].
Di Iorio, Angelo*; Limpens, Freddy; Peroni, Silvio; Rotondi, Agata; Tsatsaronis, Georgios; Achtsivassilis, Jorgos
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/673014
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