- Publications listing on Open Research Online (ORO) – The Open University;
- DBLP listing. Fairly comprehensive;
- Citations on Google Scholar;
- ORCID: 0000-0002-4763-3943.
Here are my publications ordered by year:
2024 Angelo Antonio Salatino, Mehwish Alam, Femke Ongenae, Sahar Vahdati, Anna-Lisa Gentile, Tassilo Pellegrini, Shufan Jiang Knowledge Graphs in the Age of Language Models and Neuro-Symbolic AI. In Proceedings of the 20th International Conference on Semantic Systems, IOS Press, 2024 Enrico Motta, Francesco Osborne, Martino Pulici, Angelo Antonio Salatino, Iman Naja Capturing the Viewpoint Dynamics in the News Domain. In Knowledge Engineering and Knowledge Management 24th International Conference, EKAW 2024, Amsterdam, Netherlands, November 26–28, 2024, Proceedings, Springer (In press), 2024 Angelo Antonio Salatino, Andrea Mannocci, Francesco Osborne, Georg Rehm, Sonja Schimmler 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. In 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment @ ISWC 2024, CEUR, 2024 Tanay Aggarwal, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. In 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment @ ISWC 2024, CEUR, 2024 Alessia Pisu, Livio Pompianu, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta, Daniele Riboni, Diego Reforgiato Recupero Classifying Scientific Topic Relationships with SciBERT. In Joint Proceedings of Posters, Demos, Workshops, and Tutorials of the 20th International Conference on Semantic Systems (SEMANTiCS 2024), CEUR, 2024 Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. In Information, MDPI, 2024 Simone Balloccu, Alessandro Sebastian Podda, Livio Pompianu, Roberto Saia, Angelo Antonio Salatino HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. In Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization, pp. 406 - 409. ACM, 2024 Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access, 2024 Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. In SemTech4STLD24 workshop @ ESWC 2024, CEUR, 2024 Alessia Pisu, Livio Pompianu, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta, Daniele Riboni, Diego Reforgiato Recupero Leveraging Language Models for Generating Ontologies of Research Topics. In Text2KG workshop @ ESWC 2024, CEUR (in press), 2024 Jens Lehmann, Antonello Meloni, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Sahar Vahdati Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark. In Semantic Web - 21st International Conference, ESWC 2024, Springer, 2024 Eleonora Bernasconi, Andrea Mannocci, Antonella Poggi, Angelo Antonio Salatino, Gianmaria Silvello Proceedings of the 20th Conference on Information and Research science Connecting to Digital and Library science (formerly the Italian Research Conference on Digital Libraries). In IRCDL 2024, CEUR, 2024 Francisco Bolanos Burgos, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta Artificial Intelligence for Literature Reviews: Opportunities and Challenges. In Artificial Intelligence Review, Elsevier, 2024 Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi A Comparative Analysis of Knowledge Injection Strategies for Large Language Models in the Scholarly Domain. In Engineering Applications of Artificial Intelligence, Elsevier, 2024 2023 Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. In Deep Learning for Knowledge Graphs Workshop, co-located with the 22 Internation Semantic Web Conference, CEUR, 2023 Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi Enhancing Large Language Models with Knowledge Graphs for Classification Tasks in the Tourism Domain. In Deep Learning for Knowledge Graphs Workshop, co-located with the 22 Internation Semantic Web Conference, CEUR, 2023 Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape. In 22st International Semantic Web Conference, ISWC 2023, 6 - 10 November 2023, Athens, Greece, Springer, 2023 Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi Data-driven Methodology for Knowledge Graph Generation within the Tourism Domain. IEEE Access, 2023 Angelo Antonio Salatino, Simone Angioni, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta Diversity of Expertise is Key to Scientific Impact: a Large-Scale Analysis in the Field of Computer Science. In 27th International Conference on Science, Technology and Innovation Indicators (STI 2023), September 27-29, 2023 in Leiden (NL), 2023 Angelo Antonio Salatino, Yu Bu, Ying Ding, Ágnes Horvát, Yong Huang, Meijun Liu, Paolo Manghi, Andrea Mannocci, Francesco Osborne, Daniel Romero, Dimitris Sacharidis, Misha Teplitskiy, Thanasis Vergoulis, Feng Xia, Yujia Zhai 3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). In WWW '23 Companion: Companion Proceedings of the ACM Web Conference 2023, pp. 783. ACM, 2023 Enrico Motta, Angelo Antonio Salatino, Agnese Chiatti Untangling Robots' Cultural Norms. In ESWC 2043: Next 20 Years track at ESWC 2023, Zenodo, 2023 Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta Integrating Conversational Agents and Knowledge Graphs within the Scholarly Domain. IEEE Access, 2023 2022 Tanay Aggarwal, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta R-Classify: Extracting Research Papers' Relevant Concepts from a Controlled Vocabulary. In Software Impacts, Elsevier, 2022 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. In 21st International Semantic Web Conference, ISWC 2022, Hybrid Event, 23 – 27 October 2022, Hangzhou, China, Springer, 2022 Alessandra Belfiore, Angelo Antonio Salatino, Francesco Osborne Characterising Research Areas in the field of AI. In 51st Scientific Meeting of the Italian Statistical Society - SIS 2022 | Book of Short Papers, Pearson, 2022 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta The AIDA Dashboard: a Web Application for Assessing and Comparing Scientific Conferences. IEEE Access, 2022 Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo Antonio Salatino, Luca Secchi Enriching Data Lakes with Knowledge Graphs. In Knowledge Graph Generation from Text workshop, co-located with the Extended Semantic Web Conference, CEUR, 2022 Paolo Manghi, Andrea Mannocci, Francesco Osborne, Dimitris Sacharidis, Angelo Antonio Salatino, Thanasis Vergoulis Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. In Companion Proceedings of the Web Conference 2022 (WWW '22 Companion), April 25--29, 2022, Virtual Event, Lyon, France, pp. 4. ACM, 2022 2021 Paolo Manghi, Andrea Mannocci, Francesco Osborne, Dimitris Sacharidis, Angelo Antonio Salatino, Thanasis Vergoulis New trends in scientific knowledge graphs and research impact assessment. In Quantitative Science Studies, pp. 1296-1300. MIT Press, 2021 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry. In Quantitative Science Studies, pp. 1356-1398. MIT Press, 2021 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta Assessing Scientific Conferences through Knowledge Graphs. In (ISWC 2021 Posters & Demonstrations and Industry Tracks) @ The Semantic Web – ISWC 2021, 24-28 October 2021, CEUR Workshop, 2021 Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati, Francesco Osborne, Andrey Kravchenko, Simone Angioni, Angelo Antonio Salatino, Diego Reforgiato Recupero, Enrico Motta, Jens Lehmann Link Prediction of Weighted Triples for Knowledge Graph Completion within the Scholarly Domain. IEEE Access, 2021 Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. In (ISWC 2021 Posters & Demonstrations and Industry Tracks) @ The Semantic Web – ISWC 2021, 24-28 October 2021, CEUR Workshop, 2021 Angelo Antonio Salatino, Andrea Mannocci, Francesco Osborne Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs. In Predicting the Dynamics of Research Impact, Springer, 2021 Angelo Antonio Salatino, Francesco Osborne, Enrico Motta CSO Classifier 3.0: A Scalable Unsupervised Method for Classifying Documents in Terms of Research Topics. In International Journal on Digital Libraries, Springer, 2021 Mojtaba Nayyeri, Gokce Muge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo Antonio Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann Trans4E: Link Prediction on Scholarly Knowledge Graphs. In Neurocomputing, Elsevier, 2021 2020 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta The AIDA Dashboard: Analysing Conferences with Semantic Technologies. In (ISWC 2020 Posters & Demonstrations and Industry Tracks) @ The Semantic Web – ISWC 2020, 2-6 November 2020, Athens, Greece, CEUR Workshop, 2020 Angelo Antonio Salatino, Francesco Osborne, Enrico Motta ResearchFlow: Understanding the Knowledge Flow between Academia and Industry. In Knowledge Engineering and Knowledge Management – 22nd International Conference, EKAW 2020, Springer, 2020 Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Aliaksandr Birukou, Francesco Osborne, Enrico Motta The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas. In Data Intelligence Journal, MIT Press, 2020 Ladjel Bellatreche, Fadila Bentayeb, Mária Bieliková, Omar Boussaid, Barbara Catania, Paolo Ceravolo, Elena Demidova, Mirian Halfeld Ferrari, Maria Teresa Gomez Lopez, Carmem S. Hara, Slavica Kordić, Ivan Luković, Andrea Mannocci, Paolo Manghi, Francesco Osborne, Christos Papatheodorou, Sonja Ristić, Dimitris Sacharidis, Oscar Romero, Angelo Antonio Salatino, Guilaine Talens, Maurice van Keulen, Thanasis Vergoulis, Maja Zumer 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, pp. 3-20. Springer, 2020 Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. In ADBIS , TPDL and EDA 2020 Common Workshops and Doctoral Consortium, pp. 219-225. Springer, 2020 Angelo Antonio Salatino, Francesco Osborne, Enrico Motta Ontology Extraction and Usage in the Scholarly Knowledge Domain. In Applications and Practices in Ontology Design, Extraction, and Reasoning, IOSpress, 2020 2019 Angelo Antonio Salatino Early Detection of Research Trends. PhD thesis. The Open University, 2019 Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature. In (ISWC 2019 Posters & Demonstrations and Industry Tracks) @ The Semantic Web – ISWC 2019, 26-30 October 2019, Auckland, New Zeland, CEUR Workshop, 2019 Simone Angioni, Francesco Osborne, Angelo Antonio Salatino, Diego Reforgiato Recupero, Enrico Motta Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. In (ISWC 2019 Posters & Demonstrations and Industry Tracks) @ The Semantic Web – ISWC 2019, 26-30 October 2019, Auckland, New Zeland, CEUR Workshop, 2019 Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta Improving Editorial Workflow and Metadata Quality at Springer Nature. In The Semantic Web – ISWC 2019, 26-30 October 2019, Auckland, New Zeland, Springer, 2019 Angelo Antonio Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. In TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, September 9-12, Oslo, Norway, Springer, 2019 2018 Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta Classifying Research Papers with the Computer Science Ontology. In (ISWC 2018 Posters & Demonstrations and Industry Tracks) @ The 17th International Semantic Web Conference (ISWC 2018), 8-12 October 2018, Monterey, California, USA, 2018 Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas. In The 17th International Semantic Web Conference (ISWC 2018), 8-12 October 2018, Monterey, California, USA, Springer, 2018 Angelo Antonio Salatino, Francesco Osborne, Enrico Motta AUGUR: Forecasting the Emergence of New Research Topics. In JCDL ’18: The 18th ACM/IEEE Joint Conference on Digital Libraries, June 3–7, 2018, Fort Worth, TX, USA, ACM, 2018 2017 Andrea Mannocci, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta 2100 AI: Reflections on the mechanisation of scientific discovery. In Workshop Re-Coding Black Mirror, at International Semantic Web Conference (ISWC) 2017 , 21-25 October 2017, Vienna, Austria, 2017 Francesco Osborne, Angelo Antonio Salatino, Thiviyan Thanapalasingam, Aliaksandr Birukou, Enrico Motta Supporting Springer Nature Editors by means of Semantic Technologies. In International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria, 2017 Francesco Osborne, Thiviyan Thanapalasingam, Angelo Antonio Salatino, Aliaksandr Birukou, Enrico Motta Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products. In International Semantic Web Conference (ISWC) 2017, 21-25 October 2017, Vienna, Austria, 2017 Angelo Antonio Salatino, Francesco Osborne, Enrico Motta How are topics born? Understanding the research dynamics preceding the emergence of new areas. In PeerJ Computer Science, pp. e119. 2017 2016 Amparo E. Cano, Francesco Osborne, Angelo Antonio Salatino Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors. In 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), 19-23 November 2016, Bologna, Italy, Springer, 2016 Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou, Enrico Motta Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies. In (Poster and Demo session) @ The 15th International Semantic Web Conference (ISWC 2016), 17-21 October 2016, Kobe, Japan, 2016 Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou, Enrico Motta Automatic Classification of Springer Nature Proceedings with Smart Topic Miner. In The 15th International Semantic Web Conference (ISWC 2016), 17-21 October 2016, Kobe, Japan, Springer, 2016 Angelo Antonio Salatino, Enrico Motta Detection of Embryonic Research Topics by Analysing Semantic Topic Networks. In 2016 Workshop on "Semantics, Analytics and Visualization: Enhancing Scholarly Data" at 25th International World Wide Web Conference (WWW 2016), Montreal, Quebec (CA), Springer, 2016 2015 Angelo Antonio Salatino Early Detection and Forecasting of Research Trends. In Proceedings of the Doctoral Consortium at the 14th International Semantic Web Conference (ISWC 2015), pp. 49-56. 2015 Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Giacomo Tattoli, Domenico Buongiorno, Domenico Signorile, Claudio Babiloni, Claudio Del Percio, Antonio Ivano Triggiani, Loreto Gesualdo Advanced classification of Alzheimer’s disease and healthy subjects based on EEG markers. In 2015 International Joint Conference on Neural Networks (IJCNN), pp. 1-5. IEEE, 2015 2014 Mario Nicola Armenise, Vitoantonio Bevilacqua, Michele Bozzetti, Leonarda Carnimeo, Caterina Ciminelli, Marcello Di Marzo, Maria Grazia Dotoli, Maria Pia Fanti, Ivan Giannoccaro, Giuseppe Mastronardi, Michele Ottomanelli, Giulio Reina, Arcangelo Messina, Nicola Sasanelli, Lorenzo Abbatecola, Giuseppina Carlone, Massimiliano Dellisanti, Maripina De Palo, Filomena Innone, Angelo Antonio Salatino, Stefania Stipo, Teresa Tatoli, Marco Alessandris, Matteo Mottica, Alessandro Zizzari, Antonio Lorè, Salvatore Malerba Advanced Logistics for people and goods mobility: mathematical models and trials related to new protocols for mail delivery (LAMRECOR project). In Grandi progetti in atto – Ongoing research project: 1° Workshop sullo stato dell’arte delle ricerche nel Politecnico di Bari – 1st Workshop on the State of the Art and Challenges of Research Efforts at POLIBA, pp. 397. Gangemini Editore, 2014 Vitoantonio Bevilacqua, Angelo Antonio Salatino, Carlo Di Leo, Dario D'Ambruoso, Marco Suma, Donato Barone, Giacomo Tattoli, Domenico Campagna, Fabio Stroppa, Michele Pantaleo Evaluation of Resonance in Staff Selection through Multimedia Contents. In Intelligent Computing Methodologies, pp. 185-198. Springer Berlin Heidelberg, 2014 2013 Vitoantonio Bevilacqua, Pietro Guccione, Luigi Mascolo, Pasquale Pio Pazienza, Angelo Antonio Salatino, Michele Pantaleo First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition. In Intelligent Computing Theories and Technology, pp. 658-671. Springer Berlin Heidelberg, 2013 
My Co-Authorship Graph
Explore the Graph in another page
The publication list and the co-authorship graph is dynamically generated using XMLResearcherProfile (Github repo).
