Today digital bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital bibliographies have been used as basis of many studies focused on the knowledge extraction in databases. Here we present anew methodology for mining knowledge in this field. Our approach aims to apply the potential of social network analysis techniques to accomplish this task, using a network representation of bibliography data. Besides we use some data mining techniques applied on social network representations in order to enrich this new point of view and to evolve our methodology towards a comprehensive local and global bibliography analysis workflow seen as a knowledge discovery process.
Social Network Analysis as Knowledge Discovery process: a case study on Digital Bibliography
PENSA, Ruggero Gaetano
2009-01-01
Abstract
Today digital bibliographies are a powerful instrument that collects a great amount of data about scientific publications. Digital bibliographies have been used as basis of many studies focused on the knowledge extraction in databases. Here we present anew methodology for mining knowledge in this field. Our approach aims to apply the potential of social network analysis techniques to accomplish this task, using a network representation of bibliography data. Besides we use some data mining techniques applied on social network representations in order to enrich this new point of view and to evolve our methodology towards a comprehensive local and global bibliography analysis workflow seen as a knowledge discovery process.File | Dimensione | Formato | |
---|---|---|---|
dibiminer.pdf
Accesso aperto
Tipo di file:
POSTPRINT (VERSIONE FINALE DELL’AUTORE)
Dimensione
119.95 kB
Formato
Adobe PDF
|
119.95 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.