Angelo Antonio SalatinoResearch Associate
Dr. Angelo Salatino is a Research Associate at the Intelligence Systems and Data Science (ISDS) 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).
Currently, he is mainly working on: i) new technologies for classifying scientific papers according to their relevant research topics, and ii) how the research output of academia fosters innovation in the industry.
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
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 Georgetown (USA), Trento (IT), Cagliari (IT), Oxford (UK), and FIZ Karlsruhe (DE).
Keys: Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.
28 Oct 2022
24 Oct 2022
01 Sep 2022
08 Mar 2021
23 Feb 2021
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)
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry, Quantitative Science Studies, pp. (In Press)
Manghi, P., Mannocci, A., Osborne, F., Sacharidis, D., Salatino, A.A. and Vergoulis, T. (2022) New Trends in Scientific Knowledge Graphs and Research Impact Assessment, Quantitative Science Studies, pp. 1-5, MIT Press - Journals
Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2022) The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences, IEEE Access, pp. (In press)
Early Detection and Forecasting of Research Trends
Techreport ID: kmi-15-02
Author(s): Angelo Antonio Salatino