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Angelo Antonio SalatinoMember status icon

Research Associate
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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.

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 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.

Team: Alessio Antonini, Gianluca Bardaro, Jason Carvalho, Agnese Chiatti, Enrico Daga, Alba Morales Tirado, Enrico Motta, Francesco Osborne, Luca Secchi

News

08 Mar 2021


23 Feb 2021


11 Jan 2021


29 Oct 2020


10 Sep 2020

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Publications

Publications | Visit External Site for Details  

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)

Publications | Visit External Site for Details Publications | doi 

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

Publications | Visit External Site for Details  

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)

Publications | Visit External Site for Details  

Chessa, A., Fenu, G., Motta, E., Recupero, D., Osborne, F., Salatino, A.A. and Secchi, L. (2022) Enriching Data Lakes with Knowledge Graphs, Knowledge Graph Generation from Text Workshop, Creete, Greece

Publications | Visit External Site for Details  

Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2021) AIDA-Bot: A Conversational Agent to ExploreScholarly Knowledge Graphs, The International Semantic Web Conference, Online

View all 32 publications

Tech Reports

View AbstractDownload PDF

Early Detection and Forecasting of Research Trends
Techreport ID: kmi-15-02
Date: 2015
Author(s): Angelo Antonio Salatino

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Knowledge Media Institute
The Open University
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