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
562018
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
332016
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
292019
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 Libraries …, 2018
282018
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
242017
Classifying Research Papers with the Computer Science Ontology
AA Salatino, T Thanapalasingam, A Mannocci, F Osborne, E Motta
132018
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
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
92020
Improving editorial workflow and metadata quality at springer nature
AA Salatino, F Osborne, A Birukou, E Motta
International Semantic Web Conference, 507-525, 2019
92019
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
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
72020
Detection of Embryonic Research Topics by Analysing Semantic Topic Networks
AA Salatino, E Motta
Semantics, Analytics, Visualization. Enhancing Scholarly Data: Second …, 2016
72016
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
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
42019
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
NLPP Areas
41995
Researchflow: Understanding the knowledge flow between academia and industry
A Salatino, F Osborne, E Motta
International Conference on Knowledge Engineering and Knowledge Management …, 2020
32020
Supporting Springer nature editors by means of semantic technologies
F Osborne, A Salatino, A Birukou, T Thanapalasingam, E Motta
22017
Ontology Extraction and Usage in the Scholarly Knowledge Domain
A Salatino, F Osborne, E Motta
https://arxiv.org/abs/2003.12611, 2020
12020
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Articles 1–20