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About Me
Simone Angioni is a PhD student at the Department of Mathematics and Computer Science of the University of Cagliari supervised by Diego Reforgiato Recupero. He got a Master Degree in Computer Science in 2020 with a thesis entitle: "AIDA: a Knowledge Graph about Research Dynamics in Academia and Industry”.
During his Ph.D., he is collaborating with the Knowledge Media Institute (KMi) at The Open University, Milton Keynes.
Publications (18)
| Document title | Author | Years | Source |
|---|---|---|---|
| Triplétoile: Extraction of knowledge from microblogging text | Zavarella V., Consoli S., Reforgiato Recupero D., Fenu G., Angioni S., Buscaldi D., Dessí D., Osborne F., | 2024 | Heliyon |
| Knowledge Graphs for Digital Transformation Monitoring in Social Media | Zavarella V., Recupero D.R., Consoli S., Fenu G., Angioni S., Buscaldi D., Dessí D., Osborne F., | 2024 | CEUR Workshop Proceedings |
| Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI | Angioni S., Consoli S., Dessí D., Osborne F., Recupero D.R., Salatino A., | 2024 | CEUR Workshop Proceedings |
| Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis | Angioni S., Consoli S., Dessi D., Osborne F., Reforgiato Recupero D., Salatino A., | 2024 | IEEE Access |
| AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape | Meloni A., Angioni S., Salatino A., Osborne F., Birukou A., Reforgiato Recupero D., Motta E., | 2023 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks | Angioni S., Lincoln-DeCusatis N., Ibba A., Recupero D.R., | 2023 | PeerJ Computer Science |
| Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain | Meloni A., Angioni S., Salatino A., Osborne F., Reforgiato Recupero D., Motta E., | 2023 | IEEE Access |
| AIDA: A knowledge graph about research dynamics in academia and industry | Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., | 2022 | Quantitative Science Studies |
| Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature | Angioni S., Salatino A., Osborne F., Birukou A., Recupero D.R., Motta E., | 2022 | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
| The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences | Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., | 2022 | IEEE Access |
| A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction | Angioni S., Carta S., Consoli S., Reforgiato Recupero D., Stanciu M.M., | 2021 | ACM International Conference Proceeding Series |
| Trans4E: Link prediction on scholarly knowledge graphs | Nayyeri M., Cil G.M., Vahdati S., Osborne F., Rahman M., Angioni S., Salatino A., Recupero D.R., Vassilyeva N., Motta E., Lehmann J., | 2021 | Neurocomputing |
| AIDA-bot: A conversational agent to explore scholarly knowledge graphs | Meloni A., Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., | 2021 | CEUR Workshop Proceedings |
| Assessing Scientific Conferences through Knowledge Graphs | Angioni S., Salatino A., Osborne F., Birukou A., Recupero D.R., Motta E., | 2021 | CEUR Workshop Proceedings |
| Link prediction of weighted triples for knowledge graph completion within the scholarly domain | Nayyeri M., Cil G.M., Vahdati S., Osborne F., Kravchenko A., Angioni S., Salatino A., Recupero D.R., Motta E., Lehmann J., | 2021 | IEEE Access |
| The AIDA dashboard: Analysing conferences with semantic technologies | Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., | 2020 | CEUR Workshop Proceedings |
| Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics | Angioni S., Salatino A.A., Osborne F., Recupero D.R., Motta E., | 2020 | Communications in Computer and Information Science |
| Integrating knowledge graphs for comparing the scientific output of academia and industry | Angioni S., Osborne F., Salatino A., Recupero D., Motta E., | 2019 | CEUR Workshop Proceedings |
Zavarella V., Consoli S., Reforgiato Recupero D., Fenu G., Angioni S., Buscaldi D., Dessí D., Osborne F., Triplétoile: Extraction of knowledge from microblogging text (2024), Heliyon
Zavarella V., Recupero D.R., Consoli S., Fenu G., Angioni S., Buscaldi D., Dessí D., Osborne F., Knowledge Graphs for Digital Transformation Monitoring in Social Media (2024), CEUR Workshop Proceedings
Angioni S., Consoli S., Dessí D., Osborne F., Recupero D.R., Salatino A., Investigating Environmental, Social, and Governance (ESG) Discussions in News: A Knowledge Graph Analysis Empowered by AI (2024), CEUR Workshop Proceedings
Angioni S., Consoli S., Dessi D., Osborne F., Reforgiato Recupero D., Salatino A., Exploring Environmental, Social, and Governance (ESG) Discourse in News: An AI-Powered Investigation Through Knowledge Graph Analysis (2024), IEEE Access
Meloni A., Angioni S., Salatino A., Osborne F., Birukou A., Reforgiato Recupero D., Motta E., AIDA-Bot 2.0: Enhancing Conversational Agents with Knowledge Graphs for Analysing the Research Landscape (2023), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Angioni S., Lincoln-DeCusatis N., Ibba A., Recupero D.R., A transformers-based approach for fine and coarse-grained classification and generation of MIDI songs and soundtracks (2023), PeerJ Computer Science
Meloni A., Angioni S., Salatino A., Osborne F., Reforgiato Recupero D., Motta E., Integrating Conversational Agents and Knowledge Graphs Within the Scholarly Domain (2023), IEEE Access
Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., AIDA: A knowledge graph about research dynamics in academia and industry (2022), Quantitative Science Studies
Angioni S., Salatino A., Osborne F., Birukou A., Recupero D.R., Motta E., Leveraging Knowledge Graph Technologies to Assess Journals and Conferences at Springer Nature (2022), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., The AIDA Dashboard: A Web Application for Assessing and Comparing Scientific Conferences (2022), IEEE Access
Angioni S., Carta S., Consoli S., Reforgiato Recupero D., Stanciu M.M., A Big Data framework based on Apache Spark for Industry-specific Lexicon Generation for Stock Market Prediction (2021), ACM International Conference Proceeding Series
Nayyeri M., Cil G.M., Vahdati S., Osborne F., Rahman M., Angioni S., Salatino A., Recupero D.R., Vassilyeva N., Motta E., Lehmann J., Trans4E: Link prediction on scholarly knowledge graphs (2021), Neurocomputing
Meloni A., Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., AIDA-bot: A conversational agent to explore scholarly knowledge graphs (2021), CEUR Workshop Proceedings
Angioni S., Salatino A., Osborne F., Birukou A., Recupero D.R., Motta E., Assessing Scientific Conferences through Knowledge Graphs (2021), CEUR Workshop Proceedings
Nayyeri M., Cil G.M., Vahdati S., Osborne F., Kravchenko A., Angioni S., Salatino A., Recupero D.R., Motta E., Lehmann J., Link prediction of weighted triples for knowledge graph completion within the scholarly domain (2021), IEEE Access
Angioni S., Salatino A., Osborne F., Recupero D.R., Motta E., The AIDA dashboard: Analysing conferences with semantic technologies (2020), CEUR Workshop Proceedings
Angioni S., Salatino A.A., Osborne F., Recupero D.R., Motta E., Integrating Knowledge Graphs for Analysing Academia and Industry Dynamics (2020), Communications in Computer and Information Science
Angioni S., Osborne F., Salatino A., Recupero D., Motta E., Integrating knowledge graphs for comparing the scientific output of academia and industry (2019), CEUR Workshop Proceedings