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
Meloni, Antonello, Angioni, Simone , Salatino, Angelo, Osborne, Francesco, Birukou, Aliaksandr,Reforgiato Recupero, Diego and Motta, Enrico(2023). AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape. In: The Semantic Web – ISWC 2023 (Payne, Terry R.; Presutti, Valentina; Qi, Guilin; Poveda-Villalón, María; Stoilis, Giorgos; Hollinl, Laura; Kaoudi, Zoi; Cheng, Gong and Li, Juanzi eds.), Lecture Notes in Computer Science, 14265, Springer, Cham, pp. 400–418.
Chessa, Alessandro, Fenu, Gianni,Motta, Enrico, Osborne, Francesco, Reforgiato Recupero, Diego,Salatino, Angelo and Secchi, Luca(2023). Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access, 11 pp. 67567–67599.
Meloni, Antonello, Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Reforgiato Recupero, Diego and Motta, Enrico(2023). Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE Access, 11 pp. 22468–22489.
Aggarwal, Tanay , Salatino, Angelo, Osborne, Francesco and Motta, Enrico(2022). R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary. Software Impacts, 14, article no. 100444.
Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Birukou, Aliaksandr,Recupero, Diego Reforgiato and Motta, Enrico(2022). Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. In: The Semantic Web – ISWC 2022 (Sattler, Ulrike; Hogan, Aidan; Keet, Maria; Presutti, Valentina; Almeida, João Paulo A.; Takeda, Hideaki; Monnin, Pierre; Pirrò, Giuseppe and d'Amato, Claudia eds.), Lecture Notes in Computer Science, Springer, Cham, pp. 735–752.
Manghi, Paolo, Mannocci, Andrea , Osborne, Francesco, Sacharidis, Dimitris,Salatino, Angelo and Vergoulis, Thanasis(2022). Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. In: Companion Proceedings of the Web Conference 2022, pp. 735–738.
Chessa, Alessandro, Fenu, Gianni,Motta, Enrico, Reforgiato Recupero, Diego,Osborne, Francesco, Salatino, Angelo and Secchi, Luca (2022). Enriching Data Lakes with Knowledge Graphs. In: 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge, TEXT2KG 2022 and MK 2022, 30 May 2022, Hersonissos, Crete; Greece.
Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Reforgiato Recupero, Diego and Motta, Enrico(2022). The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences. IEEE Access, 10 pp. 39471–39486.
Angioni, Simone,Salatino, Angelo, Osborne, Francesco, Recupero, Diego Reforgiato and Motta, Enrico(2022). AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry. Quantitative Science Studies, 2(4) pp. 1356–1398.
Manghi, Paolo, Mannocci, Andrea , Osborne, Francesco, Sacharidis, Dimitris,Salatino, Angelo and Vergoulis, Thanasis(2021). New Trends in Scientific Knowledge Graphs and Research Impact Assessment. Quantitative Science Studies, 2(4) pp. 1296–1300.
