Angelo A. Salatino
Angelo A. Salatino
Research Associate, Knowledge Media Institute, Open University
Verified email at open.ac.uk - Homepage
Title
Cited by
Cited by
Year
The computer science ontology: a large-scale taxonomy of research areas
AA Salatino, T Thanapalasingam, A Mannocci, F Osborne, E Motta
International Semantic Web Conference, 187-205, 2018
642018
Automatic classification of springer nature proceedings with smart topic miner
F Osborne, A Salatino, A Birukou, E Motta
International Semantic Web Conference, 383-399, 2016
362016
The CSO classifier: ontology-driven detection of research topics in scholarly articles
AA Salatino, F Osborne, T Thanapalasingam, E Motta
International Conference on Theory and Practice of Digital Libraries, 296-311, 2019
332019
AUGUR: forecasting the emergence of new research topics
AA Salatino, F Osborne, E Motta
Proceedings of the 18th ACM/IEEE on Joint Conference on Digital Librariesá…, 2018
272018
How are topics born? Understanding the research dynamics preceding the emergence of new areas
AA Salatino, F Osborne, E Motta
PeerJ Computer Science 3, e119, 2017
232017
Classifying Research Papers with the Computer Science Ontology
AA Salatino, T Thanapalasingam, A Mannocci, F Osborne, E Motta
152018
Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers
V Bevilacqua, AA Salatino, C Di Leo, G Tattoli, D Buongiorno, D Signorile, ...
2015 International Joint Conference on Neural Networks (IJCNN), 1-5, 2015
132015
Integrating knowledge graphs for analysing academia and industry dynamics
S Angioni, AA Salatino, F Osborne, DR Recupero, E Motta
ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, 219-225, 2020
112020
Improving editorial workflow and metadata quality at springer nature
AA Salatino, F Osborne, A Birukou, E Motta
International Semantic Web Conference, 507-525, 2019
112019
The computer science ontology: A comprehensive automatically-generated taxonomy of research areas
AA Salatino, T Thanapalasingam, A Mannocci, A Birukou, F Osborne, ...
Data Intelligence 2 (3), 379-416, 2020
102020
Ontology forecasting in scientific literature: Semantic concepts prediction based on innovation-adoption priors
AE Cano-Basave, F Osborne, AA Salatino
European Knowledge Acquisition Workshop, 51-67, 2016
82016
Detection of Embryonic Research Topics by Analysing Semantic Topic Networks
AA Salatino, E Motta
Semantics, Analytics, Visualization. Enhancing Scholarly Data: Secondá…, 2016
72016
Integrating knowledge graphs for comparing the scientific output of academia and industry
S Angioni, F Osborne, A Salatino, D Reforgiato Recupero, E Motta
CEUR WS, 2019
62019
Early detection and forecasting of research trends
A Salatino
62015
First progresses in evaluation of resonance in staff selection through speech emotion recognition
V Bevilacqua, P Guccione, L Mascolo, PP Pazienza, AA Salatino, ...
International Conference on Intelligent Computing, 658-671, 2013
62013
Evaluation of Resonance in Staff Selection through Multimedia Contents
V Bevilacqua, AA Salatino, C Di Leo, D D’Ambruoso, M Suma, D Barone, ...
International Conference on Intelligent Computing, 185-198, 2014
42014
Natural language processing
A Areas
41995
Researchflow: Understanding the knowledge flow between academia and industry
A Salatino, F Osborne, E Motta
International Conference on Knowledge Engineering and Knowledge Managementá…, 2020
32020
AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry
S Angioni, A Salatino, F Osborne, D Reforgiato
Submitted to International Semantic Web Conference, 2020
22020
2100 AI: Reflections on the mechanisation of scientific discovery
A Mannocci, AA Salatino, F Osborne, E Motta
22017
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