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Angelo Antonio SalatinoMember status icon

Research Associate
Angelo Antonio Salatino Photograph

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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: Enrico Motta, Francesco Osborne


08 Mar 2021

23 Feb 2021

11 Jan 2021

29 Oct 2020

10 Sep 2020

View all 20 Articles


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

Publications | Download PDF Publications | Visit External Site for Details  

Angioni, S., Salatino, A.A., Osborne, F., Birukou, A., Recupero, D. and Motta, E. (2021) Assessing Scientific Conferences through Knowledge Graphs, Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice, Virtual, Online

Publications | Visit External Site for Details Publications | doi 

Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Kravchenko, A., Angioni, S., Salatino, A.A., Recupero, D., Motta, E. and Lehmann, J. (2021) Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain, IEEE Access, 9, pp. 116002-116014

Publications | Visit External Site for Details Publications | doi 

Salatino, A.A., Osborne, F. and Motta, E. (2021) CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics, International Journal on Digital Libraries, pp. (Early Access)

Publications | Visit External Site for Details  

Salatino, A.A., Mannocci, A. and Osborne, F. (2021) Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs Prediction Dynamics of Research Impact, eds. Yannis Manolopoulos,Thanasis Vergoulis, Springer (In press)

View all 30 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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United Kingdom

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