Dr. Angelo Salatino is a Research Fellow at the Scholarly Knowledge team (SKM3), 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.
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
Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies (2024-07-10)
Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo and Secchi, Luca
Information, 15, Article 398(7)
A comparative analysis of knowledge injection strategies for large language models in the scholarly domain (2024-07)
Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca
Engineering Applications of Artificial Intelligence, 133, Article 108166
Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis (2024)
Angioni, Simone; Consoli, Sergio; Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego and Salatino, Angelo
IEEE Access, 12 (pp. 77269-77283)
Artificial intelligence for literature reviews: opportunities and challenges (2024)
Bolanos Burgos, Francisco; Salatino, Angelo; Osborne, Francesco and Motta, Enrico
Artificial Intelligence Review, 57, Article 259(9)
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain (2023-07-04)
Chessa, Alessandro; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca
IEEE Access, 11 (pp. 67567-67599)
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain (2023-03-09)
Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
IEEE Access, 11 (pp. 22468-22489)
The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences (2022-03-29)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
IEEE Access, 10 (pp. 39471-39486)
AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry (2022-02-04)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Recupero, Diego Reforgiato and Motta, Enrico
Quantitative Science Studies, 2(4) (pp. 1356-1398)
R-classify: Extracting research papers’ relevant concepts from a controlled vocabulary (2022)
Aggarwal, Tanay; Salatino, Angelo; Osborne, Francesco and Motta, Enrico
Software Impacts, 14, Article 100444
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain (2021-08-26)
Nayyeri, Mojtaba; Müge Cil, Gökce; Vahdati, Sahar; Osborne, Francesco; Kravchenko, Andrey; Angioni, Simone; Salatino, Angelo; Reforgiato Recupero, Diego; Motta, Enrico and Lehmann, Jens
IEEE Access, 9 (pp. 116002-116014)
Trans4E: Link Prediction on Scholarly Knowledge Graphs (2021)
Nayyeri, Mojtaba; Cil, Gokce Muge; Vahdati, Sahar; Osborne, Francesco; Rahman, Mahfuzur; Angioni, Simone; Salatino, Angelo; Recupero, Diego Reforgiato; Vassilyeva, Nadezhda; Motta, Enrico and Lehmann, Jens
Neurocomputing, 461 (pp. 530-542)
CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics (2021)
Salatino, Angelo; Osborne, Francesco and Motta, Enrico
International Journal on Digital Libraries, 23 (pp. 91-110)
New Trends in Scientific Knowledge Graphs and Research Impact Assessment (2021)
Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Sacharidis, Dimitris; Salatino, Angelo and Vergoulis, Thanasis
Quantitative Science Studies, 2(4) (pp. 1296-1300)
The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas (2020-07-24)
Salatino, Angelo; Thanapalasingam, Thiviyan; Mannocci, Andrea; Birukou, Aliaksandr; Osborne, Francesco and Motta, Enrico
Data Intelligence, 2(3) (pp. 379-416)
How are topics born? Understanding the research dynamics preceding the emergence of new areas (2017-06-19)
Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico
PeerJ Computer Science(3) (e119)
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs (2021)
Salatino, Angelo A.; Mannocci, Andrea and Osborne, Francesco
In: Manolopoulos, Yannis and Vergoulis, Thanasis eds. Prediction Dynamics of Research Impact (pp. 225-252)
Publisher : Springer
Ontology Extraction and Usage in the Scholarly Knowledge Domain (2020)
Salatino, Angelo; Osborne, Francesco and Motta, Enrico
In: Cota, Giuseppe; Daquino, Marilena and Pozzato, Gian Luca eds. Applications and Practices in Ontology Design, Extraction, and Reasoning. Studies on the Semantic Web (pp. 91-106)
Publisher : IOS Press
Capturing the Viewpoint Dynamics in the News Domain (2024-11-26)
Motta, Enrico; Osborne, Francesco; Pulici, Martino M. L.; Salatino, Angelo and Naja, Iman
In : Proceedings of the 24th International Conference on Knowledge Engineering and Knowledge Management (EKAW-24) (26-28 Nov 2024, Amsterdam, Netherlands)
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation (2024-06-28)
Balloccu, Simone; Podda, Alessandro Sebastian; Pompianu, Livio; Saia, Roberto and Salatino, Angelo Antonio
In : UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization (1-4 Jul 2024, Cagliari, Italy)
Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI (2024)
Angioni, Simone; Consoli, Sergio; Dessì, Danilo; Osborne, Francesco; Reforgiato Recupero, Diego and Salatino, Angelo
In : 2nd International Workshop on Semantic Technologies and Deep Learning Models for Scientific, Technical and Legal Data, SemTech4STLD 2024 (26 May 2024, Hersonissos)
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark (2024)
Lehmann, Jens; Meloni, Antonello; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo Antonio and Vahdati, Sahar
In : ESWC 2024 (26-30 May 2024, Hersonissos, Greece) (pp. 199-217)
Leveraging Language Models for Generating Ontologies of Research Topics (2024)
Pisu, Alessia; Pompianu, Livio; Salatino, Angelo; Osborne, Francesco; Riboni, Daniele; Motta, Enrico and Recupero, Diego Reforgiato
In : Text2KG 2024: International Workshop on Knowledge Graph Generation from Text (28 May 2024, Hersonissos, Crete, Greece)
Classifying Scientific Topic Relationships with SciBERT (2024)
Pisu, Alessia; Pompianu, Livio; Salatino, Angelo; Osborne, Francesco; Riboni, Daniele; Motta, Enrico and Reforgiato Recupero, Diego
In : Joint Proc. of Posters, Demos, Workshops, and Tutorials of the 20th Int.l Conf. on Semantic Systems (SEMANTiCS 2024) (17-19 Sep 2024, Amsterdam)
AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape (2023-12)
Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Reforgiato Recupero, Diego and Motta, Enrico
In : ISWC 2023 - 22nd International Semantic Web Conference (6-10 Nov 2023, Athens, Greece) (pp. 400-418)
Leveraging Knowledge Graphs with Large Language Models for Classification Tasks in the Tourism Domain (2023-11-22)
Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Reforgiato Recupero, Diego; Salatino, Angelo and Secchi, Luca
In : Deep Learning for Knowledge Graphs 2023 (6-10 Nov 2023, Athens)
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models (2023-11-21)
Cadeddu, Andrea; Chessa, Alessandro; De Leo, Vincenzo; Fenu, Gianni; Motta, Enrico; Osborne, Francesco; Recupero, Diego Reforgiato; Salatino, Angelo and Secchi, Luca
In : Deep Learning for Knowledge Graphs 2023 (6 Nov 2023, Athens)
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023) (2023-04-30)
Salatino, Angelo Antonio; Bu, Yi; Ding, Ying; Horvát, Ágnes; Huang, Yong; Liu, Meijun; Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Romero, Daniel; Sacharidis, Dimitris; Teplitskiy, Misha; Vergoulis, Thanasis; Xia, Feng and Zhai, Yujia
In : WWW '23: The ACM Web Conference 2023 (30 Apr - 04 May 2023, Austin TX USA) (p 783)
Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment (2022-04)
Manghi, Paolo; Mannocci, Andrea; Osborne, Francesco; Sacharidis, Dimitris; Salatino, Angelo and Vergoulis, Thanasis
In : WWW '22: The ACM Web Conference 2022 (25 Apr - 29 Apr 2022, Lyon, France (Virtual)) (pp. 735-738)
Enriching Data Lakes with Knowledge Graphs (2022)
Chessa, Alessandro; Fenu, Gianni; Motta, Enrico; Reforgiato Recupero, Diego; Osborne, Francesco; Salatino, Angelo and Secchi, Luca
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)
Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature (2022)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Recupero, Diego Reforgiato and Motta, Enrico
In : 21st International Semantic Web Conference, ISWC 2022 (23-27 Oct 2022, Hangzhou, China) (pp. 735-752)
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs (2021-10)
Meloni, Antonello; Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
In : International Semantic Web Conference (ISWC) 2021: Posters, Demos, and Industry Tracks (24-28 Oct 2021, Virtual, Online)
Assessing Scientific Conferences through Knowledge Graphs (2021-10)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr; Recupero, Diego Reforgiato and Motta, Enrico
In : Proceedings of the ISWC 2021 Posters, Demos and Industry Tracks: From Novel Ideas to Industrial Practice (24-28 Oct 2021, Virtual, Online)
The AIDA Dashboard: Analysing Conferences with Semantic Technologies (2020-11)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
In : 19th International Semantic Web Conference (ISWC 2020) (2-6 Nov 2020, Athens (Greece) - Virtual)
Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics (2020)
Angioni, Simone; Salatino, Angelo; Osborne, Francesco; Reforgiato Recupero, Diego and Motta, Enrico
In : 1st Workshop on Scientific Knowledge Graphs (25 Aug 2020, Lyon, France)
ResearchFlow: Understanding the Knowledge Flow between Academia and Industry (2020)
Salatino, Angelo; Osborne, Francesco and Motta, Enrico
In : 22nd International Conference on Knowledge Engineering and Knowledge Management (EKAW 2020) (16-20 Sep 2020, Bolzano (Italy) (Online)) (pp. 219-236)
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium (2020)
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
In : ADBIS, TPDL and EDA 2020 (25-27 Aug 2020, Lyon, France) (pp. 3-20)
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles (2019)
Salatino, Angelo; Osborne, Francesco; Thanapalasingam, Thiviyan and Motta, Enrico
In : TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries (9-12 Sep 2019, Oslo, Norway) (pp. 296-311)
Improving Editorial Workflow and Metadata Quality at Springer Nature (2019)
Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico
In : The 18th International Semantic Web Conference (ISWC 2019) (26-30 Oct 2019, Auckland, New Zealand) (pp. 507-525)
Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature (2019)
Salatino, Angelo; Osborne, Francesco; Birukou, Aliaksandr and Motta, Enrico
In : 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks (26-30 Oct 2019, Auckland, New Zeeland)
Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry (2019)
Angioni, Simone; Osborne, Francesco; Salatino, Angelo; Reforgiato Recupero, Diego and Motta, Enrico
In : 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks (26-30 Oct 2019, Auckland, New Zeeland)
Classifying Research Papers with the Computer Science Ontology (2018-10-09)
Salatino, Angelo; Thanapalasingam, Thiviyan; Mannocci, Andrea; Osborne, Francesco and Motta, Enrico
In : International Semantic Web Conference 2018 (8-12 Oct 2018, Monterey, CA (USA))
The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas (2018-10)
Salatino, Angelo A.; Thanapalasingam, Thiviyan; Mannocci, Andrea; Osborne, Francesco and Motta, Enrico
In : International Semantic Web Conference 2018 (8-12 Oct 2018, Monterey, California, USA) (pp. 187-205)
AUGUR: Forecasting the Emergence of New Research Topics (2018-05-23)
Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico
In : JCDL ’18: The 18th ACM/IEEE Joint Conference on Digital Libraries (3-7 Jun 2018, Fort Worth, TX, USA) (pp. 303-312)
Supporting Springer Nature Editors by means of Semantic Technologies (2017)
Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr; Thanapalasingam, Thiviyan and Motta, Enrico
In : International Semantic Web Conference (ISWC) 2017 (21-25 Oct 2017, Vienna, Austria)
Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products (2017)
Osborne, Francesco; Thanapalasingam, Thiviyan; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico
In : International Semantic Web Conference (ISWC) 2017 (21-25 Oct 2017, Vienna, Austria)
2100 AI: Reflections on the mechanisation of scientific discovery (2017)
Mannocci, Andrea; Salatino, Angelo A.; Osborne, Francesco and Motta, Enrico
In : Recoding Black Mirror @ ISWC '17 (21-25 Oct 2017, Wien, Austria)
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner (2016)
Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico
In : The 15th International Semantic Web Conference (17-21 Oct 2016, Kobe, Japan)
Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies (2016)
Osborne, Francesco; Salatino, Angelo; Birukou, Aliaksandr and Motta, Enrico
In : International Semantic Web Conference (ISWC 2016) (17-21 Oct 2016, Kobe, Japan)
Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors (2016)
Cano Basave, Amparo; Osborne, Francesco and Salatino, Angelo
In : 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) (19-23 Nov 2016, Bologna, Italy (forthcoming)) (pp. 51-67)
Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors (2016)
Cano Basave, Amparo; Osborne, Francesco and Salatino, Angelo
In : 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016) (19-23 Nov 2016, Bologna, Italy)
Early Detection and Forecasting of Research Trends (2015-10-12)
Salatino, Angelo
In : 14th International Semantic Web Conference (11-15 Oct 2015, Bethlehem (PA), USA)
Early Detection of Research Trends (2019-10-09)
Salatino, Angelo
PhD thesis The Open University