Member
Angelo Antonio Salatino
Research Fellow
+44 (0)1908 653932
Dr. Angelo Salatino is a Research Fellow at the Scholarly Knowledge (SKM) group, at the Knowledge Media Institute (KMi) of the Open University. He obtained a Ph.D., studying methods for the early detection of research trends. In particular, his project aimed at identifying the emergence of new research topics at their embryonic stage (i.e., before being recognised by the research community).
He is currently working on several projects, including: i) new technologies for classifying scientific papers according to their relevant research topics, ii) automatic development of ontologies of research areas, iii) novel tools for assessing the research landscape.
Research interests
His research interests are in the areas of Semantic Web, Network Science and Knowledge Discovery technologies, with focus on the structure and evolution of science: Science of Science
External collaborations
Angelo collaborates with a number of academic and industrial partners. In particular, he collaborates with Spinger Nature, the world's largest academic book publisher, as well as universities in Cagliari (IT), Trento (IT), Universidad Carlos III de Madrid (ES), and Dresden (DE).
Keys: Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.
Team: Tanay Aggarwal, Simone Angioni, , Enrico Motta, Francesco Osborne
News
13 Jun 2024
12 Jun 2024
27 Mar 2024
26 Mar 2024
20 Mar 2024
Publications
Chessa, A., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Secchi, L. (2023) Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain, IEEE Access, 11, pp. 67567-67599, Institute of Electrical and Electronics Engineers (IEEE)
Salatino, A.A., (2023) 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023), WWW '23: The ACM Web Conference 2023, Austin TX USA
Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2023) Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain, IEEE Access, 11, pp. 22468-22489, Institute of Electrical and Electronics Engineers (IEEE)
Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2022) Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature, 21st International Semantic Web Conference, ISWC 2022, Hangzhou, China
Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment, WWW '22: The ACM Web Conference 2022, Lyon, France (Virtual)
Tech Reports
Early Detection and Forecasting of Research Trends
Techreport ID: kmi-15-02
Date: 2015
Author(s): Angelo Antonio Salatino
