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Angelo A. Salatino
Angelo Antonio Salatino
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- affiliation (PhD): Open University, Knowledge Media Institute (KMi), Milton Keynes, UK
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2020 – today
- 2024
- [j15]Simone Angioni
, Sergio Consoli
Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis. IEEE Access 12: 77269-77283 (2024) - [j14]Francisco Bolaños, Angelo A. Salatino, Francesco Osborne, Enrico Motta:
Artificial intelligence for literature reviews: opportunities and challenges. Artif. Intell. Rev. 57(9): 259 (2024) - [j13]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo
A comparative analysis of knowledge injection strategies for large language models in the scholarly domain. Eng. Appl. Artif. Intell. 133: 108166 (2024) - [j12]Andrea Cadeddu, Alessandro Chessa
Optimizing Tourism Accommodation Offers by Integrating Language Models and Knowledge Graph Technologies. Inf. 15(7): 398 (2024) - [c37]Enrico Motta
Capturing the Viewpoint Dynamics in the News Domain. EKAW 2024: 18-34 - [c36]Jens Lehmann
Large Language Models for Scientific Question Answering: An Extensive Analysis of the SciQA Benchmark. ESWC (1) 2024: 199-217 - [c35]Alessia Pisu, Livio Pompianu, Angelo A. Salatino, Francesco Osborne, Daniele Riboni, Enrico Motta, Diego Reforgiato Recupero:
Classifying Scientific Topic Relationships with SciBERT. SEMANTiCS (Posters, Demos, Workshops & Tutorials) 2024 - [c34]Tanay Aggarwal, Angelo A. Salatino, Francesco Osborne, Enrico Motta:
Identifying Semantic Relationships Between Research Topics Using Large Language Models in a Zero-Shot Learning Setting. Sci-K@ISWC 2024 - [c33]Simone Angioni, Sergio Consoli, Danilo Dessì, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino:
Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI. SemTech4STLD@ESWC 2024: 49-60 - [c32]Enrico Motta, Angelo A. Salatino, Francesco Osborne, Livio Pompianu, Alessia Pisu, Diego Reforgiato Recupero, Daniele Riboni:
Leveraging Language Models for Generating Ontologies of Research Topics. TEXT2KG/DQMLKG@ESWC 2024: 11 - [c31]Simone Balloccu
HUMAD 2024: International Workshop on Human-Centered Modeling and Adaptation for Digital Transformation. UMAP (Adjunct Publication) 2024 - [e3]Angelo A. 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 - Proceedings of the 20th International Conference on Semantic Systems, 17-19 September 2024, Amsterdam, The Netherlands. Studies on the Semantic Web 60, IOS Press 2024, ISBN 978-1-64368-537-3 [contents] - [e2]Eleonora Bernasconi, Andrea Mannocci, Antonella Poggi, Angelo A. 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), Bressanone, Brixen, Italy - 22-23 February 2024. CEUR Workshop Proceedings 3643, CEUR-WS.org 2024 [contents] - [e1]Angelo A. Salatino, Andrea Mannocci, Francesco Osborne, Sonja Schimmler, Georg Rehm:
Proceedings of the 4th International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment co-located with 23rd International Semantic Web Conference (ISWC 2024), Baltimore, Maryland, USA, November 12, 2024. CEUR Workshop Proceedings 3780, CEUR-WS.org 2024 [contents] - [i12]Francisco Bolaños, Angelo A. Salatino, Francesco Osborne, Enrico Motta:
Artificial Intelligence for Literature Reviews: Opportunities and Challenges. CoRR abs/2402.08565 (2024) - [i11]Angelo A. Salatino, Tanay Aggarwal, Andrea Mannocci, Francesco Osborne, Enrico Motta:
A Survey on Knowledge Organization Systems of Research Fields: Resources and Challenges. CoRR abs/2409.04432 (2024) - [i10]Tanay Aggarwal, Angelo A. Salatino, Francesco Osborne, Enrico Motta:
Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field. CoRR abs/2412.08258 (2024) - 2023
- [j11]Antonello Meloni
Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain. IEEE Access 11: 22468-22489 (2023) - [j10]Alessandro Chessa, Gianni Fenu, Enrico Motta
Data-Driven Methodology for Knowledge Graph Generation Within the Tourism Domain. IEEE Access 11: 67567-67599 (2023) - [c30]Andrea Cadeddu, Alessandro Chessa, Vincenzo De Leo, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Large Language Models with Knowledge Graphs for Classification Tasks in the Tourism Domain. DL4KG@ISWC 2023 - [c29]Vincenzo De Leo, Andrea Cadeddu, Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enhancing Scholarly Understanding: A Comparison of Knowledge Injection Strategies in Large Language Models. DL4KG@ISWC 2023 - [c28]Antonello Meloni
AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape. ISWC 2023: 400-418 - [c27]Angelo Antonio Salatino
3rd International Workshop on Scientific Knowledge Representation, Discovery, and Assessment (Sci-K 2023). WWW (Companion Volume) 2023: 783 - [i9]Angelo A. 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. CoRR abs/2306.15344 (2023) - 2022
- [j9]Simone Angioni
The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences. IEEE Access 10: 39471-39486 (2022) - [j8]Angelo A. Salatino
CSO Classifier 3.0: a scalable unsupervised method for classifying documents in terms of research topics. Int. J. Digit. Libr. 23(1): 91-110 (2022) - [j7]Tanay Aggarwal, Angelo A. Salatino
R-classify: Extracting research papers' relevant concepts from a controlled vocabulary. Softw. Impacts 14: 100444 (2022) - [c26]Alessandro Chessa, Gianni Fenu, Enrico Motta, Francesco Osborne, Diego Reforgiato Recupero, Angelo A. Salatino, Luca Secchi:
Enriching Data Lakes with Knowledge Graphs (short paper). TEXT2KG/MK@ESWC 2022: 123-131 - [c25]Simone Angioni, Angelo A. Salatino
Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature. ISWC 2022: 735-752 - [c24]Paolo Manghi
Sci-K 2022 - International Workshop on Scientific Knowledge: Representation, Discovery, and Assessment. WWW (Companion Volume) 2022: 735-738 - [i8]Alessandra Belfiore
Characterising Research Areas in the field of AI. CoRR abs/2205.13471 (2022) - 2021
- [j6]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne
Link Prediction of Weighted Triples for Knowledge Graph Completion Within the Scholarly Domain. IEEE Access 9: 116002-116014 (2021) - [j5]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne
Trans4E: Link prediction on scholarly knowledge graphs. Neurocomputing 461: 530-542 (2021) - [j4]Paolo Manghi
New trends in scientific knowledge graphs and research impact assessment. Quant. Sci. Stud. 2(4): 1296-1300 (2021) - [j3]Simone Angioni
AIDA: A knowledge graph about research dynamics in academia and industry. Quant. Sci. Stud. 2(4): 1356-1398 (2021) - [c23]Simone Angioni, Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Diego Reforgiato Recupero, Enrico Motta:
Assessing Scientific Conferences through Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [c22]Antonello Meloni, Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
AIDA-Bot: A Conversational Agent to Explore Scholarly Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [p2]Angelo A. Salatino
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs. Predicting the Dynamics of Research Impact 2021: 225-252 - [i7]Angelo A. Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta:
Improving Editorial Workflow and Metadata Quality at Springer Nature. CoRR abs/2103.13527 (2021) - [i6]Angelo A. Salatino, Francesco Osborne, Thiviyan Thanapalasingam, Enrico Motta:
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. CoRR abs/2104.00948 (2021) - [i5]Angelo A. Salatino, Andrea Mannocci, Francesco Osborne:
Detection, Analysis, and Prediction of Research Topics with Scientific Knowledge Graphs. CoRR abs/2106.12875 (2021) - [i4]Mojtaba Nayyeri, Gökce Müge Cil, Sahar Vahdati, Francesco Osborne, Mahfuzur Rahman, Simone Angioni, Angelo A. Salatino, Diego Reforgiato Recupero, Nadezhda Vassilyeva, Enrico Motta, Jens Lehmann:
Trans4E: Link Prediction on Scholarly Knowledge Graphs. CoRR abs/2107.03297 (2021) - 2020
- [j2]Angelo A. Salatino
The Computer Science Ontology: A Comprehensive Automatically-Generated Taxonomy of Research Areas. Data Intell. 2(3): 379-416 (2020) - [c21]Ladjel Bellatreche, Fadila Bentayeb, Mária Bieliková, Omar Boussaid, Barbara Catania, Paolo Ceravolo, Elena Demidova, Mírian Halfeld Ferrari
Databases and Information Systems in the AI Era: Contributions from ADBIS, TPDL and EDA 2020 Workshops and Doctoral Consortium. ADBIS/TPDL/EDA Workshops 2020: 3-20 - [c20]Simone Angioni
Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics. ADBIS/TPDL/EDA Workshops 2020: 219-225 - [c19]Angelo A. Salatino
ResearchFlow: Understanding the Knowledge Flow Between Academia and Industry. EKAW 2020: 219-236 - [c18]Simone Angioni, Angelo Antonio Salatino, Francesco Osborne, Diego Reforgiato Recupero, Enrico Motta:
The AIDA Dashboard: Analysing Conferences with Semantic Technologies. ISWC (Demos/Industry) 2020: 271-276 - [p1]Angelo A. Salatino
Ontology Extraction and Usage in the Scholarly Knowledge Domain. Applications and Practices in Ontology Design, Extraction, and Reasoning 2020: 91-106 - [i3]Angelo Antonio Salatino, Francesco Osborne, Enrico Motta:
Ontology Extraction and Usage in the Scholarly Knowledge Domain. CoRR abs/2003.12611 (2020)
2010 – 2019
- 2019
- [c17]Angelo Antonio Salatino
The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles. TPDL 2019: 296-311 - [c16]Simone Angioni, Francesco Osborne, Angelo Antonio Salatino, Diego Reforgiato Recupero, Enrico Motta:
Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry. ISWC (Satellites) 2019: 85-88 - [c15]Angelo Antonio Salatino, Francesco Osborne, Aliaksandr Birukou, Enrico Motta:
Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature. ISWC (Satellites) 2019: 161-164 - [c14]Angelo Antonio Salatino
Improving Editorial Workflow and Metadata Quality at Springer Nature. ISWC (2) 2019: 507-525 - [i2]Angelo Antonio Salatino:
Early Detection of Research Trends. CoRR abs/1912.08928 (2019) - 2018
- [c13]Angelo Antonio Salatino
AUGUR: Forecasting the Emergence of New Research Topics. JCDL 2018: 303-312 - [c12]Angelo Antonio Salatino
The Computer Science Ontology: A Large-Scale Taxonomy of Research Areas. ISWC (2) 2018: 187-205 - [c11]Angelo Antonio Salatino, Thiviyan Thanapalasingam, Andrea Mannocci, Francesco Osborne, Enrico Motta:
Classifying Research Papers with the Computer Science Ontology. ISWC (P&D/Industry/BlueSky) 2018 - 2017
- [j1]Angelo Antonio Salatino
How are topics born? Understanding the research dynamics preceding the emergence of new areas. PeerJ Comput. Sci. 3: e119 (2017) - [c10]Andrea Mannocci, Angelo Antonio Salatino, Francesco Osborne, Enrico Motta:
2100 AI: Reflections on the Mechanisation of Scientific Discovery. BlackMirror@ISWC 2017 - [c9]Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou, Thiviyan Thanapalasingam, Enrico Motta:
Supporting Springer Nature Editors by means of Semantic Technologies. ISWC (Posters, Demos & Industry Tracks) 2017 - [c8]Francesco Osborne, Thiviyan Thanapalasingam, Angelo Antonio Salatino, Aliaksandr Birukou, Enrico Motta:
Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products. ISWC (Posters, Demos & Industry Tracks) 2017 - 2016
- [c7]Amparo Elizabeth Cano Basave, Francesco Osborne
Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction Based on Innovation-Adoption Priors. EKAW 2016: 51-67 - [c6]Francesco Osborne, Angelo Antonio Salatino, Aliaksandr Birukou, Enrico Motta:
Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies. ISWC (Posters & Demos) 2016 - [c5]Francesco Osborne
Automatic Classification of Springer Nature Proceedings with Smart Topic Miner. ISWC (2) 2016: 383-399 - [i1]Angelo Antonio Salatino
How are topics born? Understanding the research dynamics preceding the emergence of new areas. PeerJ Prepr. 4: e2306 (2016) - 2015
- [c4]Vitoantonio Bevilacqua
Advanced classification of Alzheimer's disease and healthy subjects based on EEG markers. IJCNN 2015: 1-5 - [c3]Angelo Antonio Salatino:
Early Detection and Forecasting of Research Trends. DC@ISWC 2015 - 2014
- [c2]Vitoantonio Bevilacqua
Evaluation of Resonance in Staff Selection through Multimedia Contents. ICIC (2) 2014: 185-198 - 2013
- [c1]Vitoantonio Bevilacqua
First Progresses in Evaluation of Resonance in Staff Selection through Speech Emotion Recognition. ICIC (2) 2013: 658-671
Coauthor Index
[j15] [j14] [j13] [j12] [c37] [c36] [c35] [c34] [c33] [c32] [e1] [i12] [i11] [i10] [j11] [j10] [c30] [c29] [c28] [c27] [i9] [j9] [j8] [j7] [c26] [c25] [c24] [i8] [j6] [j5] [j4] [j3] [c23] [c22] [p2] [i7] [i6] [i5] [i4] [j2] [c21] [c20] [c19] [c18] [p1] [i3] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [i1]
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