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Exploring the Potentialities of Automatic Extraction of University Webometric Information Cover

Exploring the Potentialities of Automatic Extraction of University Webometric Information

Journal of Data and Information Science
Volume 5 (2020): Issue 4 (November 2020)
By: Gianpiero Bianchi,  Renato Bruni,  Cinzia Daraio,  Antonio Laureti Palma,  Giulio Perani and  Francesco Scalfati  
Open Access
|Nov 2020

Authors

Gianpiero Bianchi

ISTAT, Italian National Institute of Statistics, Rome, Italy

Renato Bruni

DIAG, Sapienza University of Rome, Via Ariosto 25, Italy

Cinzia Daraio

daraio@diag.uniroma1.it

DIAG, Sapienza University of Rome, Via Ariosto 25, Italy

Antonio Laureti Palma

ISTAT, Italian National Institute of Statistics, Rome, Italy

Giulio Perani

ISTAT, Italian National Institute of Statistics, Rome, Italy

Francesco Scalfati

ISTAT, Italian National Institute of Statistics, Rome, Italy
DOI: https://doi.org/10.2478/jdis-2020-0040 | Journal eISSN: 2543-683X | Journal ISSN: 2096-157X
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Language: English
Page range: 43 - 55
Submitted on: Jul 20, 2020
|
Accepted on: Nov 9, 2020
|
Published on: Nov 21, 2020
Published by: Chinese Academy of Sciences, National Science Library
In partnership with: Paradigm Publishing Services
Keywords:
Development of data and information services,
Webometrics indicators,
Higher education institutions,
Automatic extraction,
Machine learning,
Optimization
Related subjects:
Computer sciences,
Information technology,
Project management,
Databases and data mining

© 2020 Gianpiero Bianchi, Renato Bruni, Cinzia Daraio, Antonio Laureti Palma, Giulio Perani, Francesco Scalfati, published by Chinese Academy of Sciences, National Science Library
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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