Dr. Angelo Salatino is a Research Fellow at the Scholarly Knowledge (SKM) 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).

He is currently working on several projects, including: i) new technologies for classifying...

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

Balloccu, S., Podda, A., Pompianu, L., Saia, R. and Salatino, A.A. (2024) HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation, UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization, Cagliari, Italy

Lehmann, J., Meloni, A., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Vahdati, S. (2024) Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark, ESWC 2024, Hersonissos, Greece

Chessa, A., Fenu, G., Motta, E., Osborne, F., Recupero, D., Salatino, A.A. and Secchi, L. (2023) Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain, IEEE Access, 11, pp. 67567-67599, Institute of Electrical and Electronics Engineers (IEEE)

Salatino, A.A., (2023) 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023), WWW '23: The ACM Web Conference 2023, Austin TX USA

Meloni, A., Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2023) Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain, IEEE Access, 11, pp. 22468-22489, Institute of Electrical and Electronics Engineers (IEEE)

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)

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

Aggarwal, T., Salatino, A.A., Osborne, F. and Motta, E. (2022) R-classify: Extracting research papers' relevant concepts from a controlled vocabulary, Software Impacts, 14

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

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

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

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)

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)

Nayyeri, M., Cil, G., Vahdati, S., Osborne, F., Rahman, M., Angioni, S., Salatino, A.A., Recupero, D., Vassilyeva, N., Motta, E. and Lehmann, J. (2021) Trans4E: Link Prediction on Scholarly Knowledge Graphs, Neurocomputing, pp. (Early Access)

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) The AIDA Dashboard: Analysing Conferences with Semantic Technologies, 19th International Semantic Web Conference (ISWC 2020), Athens (Greece) - Virtual

Salatino, A.A., Osborne, F. and Motta, E. (2020) ResearchFlow: Understanding the Knowledge Flow between Academia and Industry, 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020), Bolzano (Italy) (Online)

Bellatreche, L., Bentayeb, F., Bieliková, M., Boussaid, O., Catania, B., Ceravolo, P., Demidova, E., Ferrari, M., Lopez, M., Hara, C., Kordić, S., Luković, I., Mannocci, A., Manghi, P., Osborne, F., Papatheodorou, C., Ristić, S., Sacharidis, D., Romero, O., Salatino, A.A., Talens, G., Keulen, M., Vergoulis, T. and Zumer, M. (2020) Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium, ADBIS, TPDL and EDA 2020, Lyon, France

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Birukou, A., Osborne, F. and Motta, E. (2020) The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas, Data Intelligence, 2, 2, pp. 379-416

Angioni, S., Salatino, A.A., Osborne, F., Recupero, D. and Motta, E. (2020) Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics, 1st Workshop on Scientific Knowledge Graphs, Lyon, France

Salatino, A.A., Osborne, F. and Motta, E. (2020) Ontology Extraction and Usage in the Scholarly Knowledge Domain Applications and Practices in Ontology Design, Extraction, and Reasoning, eds. Giuseppe Cota,Marilena Daquino,Gian Luca Pozzato, IOS Press

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand

Salatino, A.A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Angioni, S., Osborne, F., Salatino, A.A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Salatino, A.A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Osborne, F. and Motta, E. (2018) Classifying Research Papers with the Computer Science Ontology, Poster at International Semantic Web Conference, Posters & Demonstrations and Industry Tracks, MONTEREY, CALIFORNIA, USA

Salatino, A.A., Thanapalasingam, T., Mannocci, A., Osborne, F. and Motta, E. (2018) The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas, The International Semantic Web Conference 2018, Monterey, California, USA

Salatino, A.A., Osborne, F. and Motta, E. (2018) AUGUR: Forecasting the Emergence of New Research Topics, Joint Conference on Digital Libraries 2018, Fort Worth, Texas

Mannocci, A., Salatino, A.A., Osborne, F. and Motta, E. (2017) 2100 AI: Reflections on the mechanisation of scientific discovery, Workshop: Re-coding Black Mirror at The 16th International Semantic Web Conference (ISWC '17), Wien

Salatino, A.A., Osborne, F. and Motta, E. (2017) How are topics born? Understanding the research dynamics preceding the emergence of new areas, PeerJ Computer Science

Osborne, F., Salatino, A.A., Birukou, A., Thanapalasingam, T. and Motta, E. (2017) Supporting Springer Nature Editors by means of Semantic Technologies, International Semantic Web Conference 2017 (Industry Track)

Osborne, F., Thanapalasingam, T., Salatino, A.A., Birukou, A. and Motta, E. (2017) Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products, Poster at International Semantic Web Conference 2017

Basave, A., Osborne, F. and Salatino, A.A. (2016) Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016)

Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Automatic Classification of Springer Nature Proceedings with Smart Topic Miner, 15th International Semantic Web Conference, Kobe, Japan

Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies, Demo at International Semantic Web Conference 2016, Kobe, Japan

Salatino, A.A. and Motta, E. (2016) Detection of Embryonic Research Topics by Analysing Semantic Topic Networks, Workshop: 2016 WORKSHOP ON "SEMANTICS, ANALYTICS AND VISUALISATION: ENHANCING SCHOLARLY DATA" at 25th International World Wide Web Conference (WWW 2016), Montreal, Quebec (CA), Springer

Salatino, A.A. (2015) Early Detection and Forecasting of Research Trends, Workshop: Doctoral Consortium at The 14th International Semantic Web Conference (ISWC), Bethlehem (PA)