Dr. Angelo Antonio Salatino

Research 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.

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).

Keywords

Semantic Web, Semantic Publishing, Data Mining, User Modelling, Knowledge Extraction, Ontologies, Scholarly Data.


Publications

Salatino, Angelo, Mannocci, Andrea and Osborne, Francesco Salatino, Angelo ; Mannocci, Andrea and Osborne, Francesco In: Manolopoulos, Yannis and Vergoulis, Thanasis eds. Prediction Dynamics of Research Impact. Springer.

Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Reforgiato Recupero, Diego and Motta, Enrico(2020). The AIDA Dashboard: Analysing Conferences with Semantic Technologies. In: 19th International Semantic Web Conference (ISWC 2020), 2-6 Nov 2020, Athens (Greece) - Virtual.

Bellatreche, Ladjel, Bentayeb, Fadila, Bieliková, Mária, Boussaid, Omar, Catania, Barbara, Ceravolo, Paolo, Demidova, Elena, Halfeld Ferrari, Mirian, Gomez Lopez, Maria Teresa, S. Hara, Carmem, Kordić, Slavica, Luković, Ivan, Mannocci, Andrea , Manghi, Paolo,Osborne, Francesco, Papatheodorou, Christos, Ristić, Sonja, Sacharidis, Dimitris, Romero, Oscar,Salatino, Angelo, Talens, Guilaine, van Keulen, Maurice, Vergoulis, Thanasis and Zumer, Maja ,(2020). Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium. In: ADBIS, TPDL and EDA 2020 Common Workshops and Doctoral Consortium, Communications in Computer and Information Science book series (CCIS), pp. 3–20.

Salatino, Angelo, Osborne, Francesco and Motta, Enrico(2020). Ontology Extraction and Usage in the Scholarly Knowledge Domain. In: Cota, Giuseppe; Daquino, Marilena and Pozzato, Gian Luca eds. Applications and Practices in Ontology Design, Extraction, and Reasoning. Studies on the Semantic Web. IOS Press, pp. 91–106.

Salatino, Angelo, Osborne, Francesco and Motta, Enrico(2020). ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. In: Proceedings of the 22nd International Conference on Knowledge Engineering and Knowledge Management (Keet, C. Maria and Dumontier, Michel eds.), Springer, (In Press).

Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Reforgiato Recupero, Diego and Motta, Enrico(2020). Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. In: 1st​ Workshop on Scientific Knowledge Graphs, 25 Aug 2020, Lyon, France.

Salatino, Angelo, (2019). Early Detection of Research Trends. PhD thesis The Open University.

Salatino, Angelo, Thanapalasingam, Thiviyan , Mannocci, Andrea , Birukou, Aliaksandr,Osborne, Francesco and Motta, Enrico(2020). The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas. Data Intelligence, 2(3) pp. 379–416.

Angioni, Simone,Osborne, Francesco, Salatino, Angelo, Reforgiato Recupero, Diego and Motta, Enrico(2019). Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS.

Salatino, Angelo, Osborne, Francesco, Birukou, Aliaksandr and Motta, Enrico(2019). Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature. In: 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, 26-30 Oct 2019, Auckland, New Zeeland, CEUR WS, (In Press).