In this paper we present i) an approach for clustering authors according to their citation distributions and ii) an ontology, the Bibliometric Data Ontology, for supporting the formal representation of such clusters. This method allows the formulation of queries which take in consideration the citation behaviour of an author and predicts with a good level of accuracy future citation behaviours. We evaluate our approach with respect to alternative solutions and discuss the predicting abilities of the identified clusters.

Clustering citation distributions for semantic categorization and citation prediction / Osborne, Francesco; Peroni, Silvio; Motta, Enrico. - ELETTRONICO. - 1282:(2014), pp. 24-35. (Intervento presentato al convegno 4th Workshop on Linked Science: Making Sense Out of Data, LISC 2014, Collocated with the 13th International Semantic Web Conference, ISWC 2014 tenutosi a Riva del Garda, Italy nel 2014).

Clustering citation distributions for semantic categorization and citation prediction

PERONI, SILVIO;
2014

Abstract

In this paper we present i) an approach for clustering authors according to their citation distributions and ii) an ontology, the Bibliometric Data Ontology, for supporting the formal representation of such clusters. This method allows the formulation of queries which take in consideration the citation behaviour of an author and predicts with a good level of accuracy future citation behaviours. We evaluate our approach with respect to alternative solutions and discuss the predicting abilities of the identified clusters.
2014
CEUR Workshop Proceedings
24
35
Clustering citation distributions for semantic categorization and citation prediction / Osborne, Francesco; Peroni, Silvio; Motta, Enrico. - ELETTRONICO. - 1282:(2014), pp. 24-35. (Intervento presentato al convegno 4th Workshop on Linked Science: Making Sense Out of Data, LISC 2014, Collocated with the 13th International Semantic Web Conference, ISWC 2014 tenutosi a Riva del Garda, Italy nel 2014).
Osborne, Francesco; Peroni, Silvio; Motta, Enrico
File in questo prodotto:
Eventuali allegati, non sono esposti

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/555501
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 4
  • ???jsp.display-item.citation.isi??? ND
social impact