DA SILVEIRA Marcos

Unit: Human Centered AI, Data & Software

Group: Human Modelling and Knowledge Engineering

Social links: ORCID  /  github  /  LinkedIn

Languages: English, French, Portuguese

Contact

About

I'm a researcher in computer science at LIST for more than 15 years. My interests cover the intersection between knowledge graphs, generative AI, and ontologies. These areas offer a unique opportunity to explore the nature of knowledge and its representation for human and machines interpretation. I contribute to innovate on the development of methods and algorithms that can effectively capture and utilize complex knowledge from various sources. Understanding how to represent and reason with knowledge is essential for building intelligent systems that can tackle real-world problems in areas such as healthcare, education, and natural language processing. We are all affected by these technologies today, for instance, when you ask Alexia to play a music, or Google show a news. I am investigating the potential of these technologies to improve our lives and advance our understanding of the world.

Mission

- Senior researcher in the IT for Innovative Services - PhD (co-)supervision (5) - Post-doc supervision (5) - Project leader in Knowledge Management - Scientific Publications (100+) - Patent Publication (2) - Transfer of technologies to Spinoff (1)

Skills and expertise

  • Knowledge Graphs
  • Web Semantics
  • Generative AI
  • Application domains: Health, Space, Chemistry, History

Latest Publications

Deepening citation understanding in scientific literature via LLM-powered context extraction

Nguyen T.H., Pruski C., Silveira M.D.

Scientometrics, vol. 131, n° 5, pp. 3379-3410, 2026

Semantic change characterization with LLMs using rhetorics

De Sa J.M.C., Lee J., Pruski C., Da Silveira M.

Eacl 2026 6th International Workshop on Computational Approaches to Language Change Lchange 2026 Proceedings of the Workshop, pp. 110-123, 2026

Survey in characterizing semantic change

De Sá J.M.C., Da Silveira M., Pruski C.

Natural Language Processing, 2026

Evaluating ESCO skill classifiers

Marconi G., Baer I., Da Silveira M., Gallais M., Pruski C.

Statistical Journal of the Iaos, vol. 41, n° 4, pp. 1038-1057, 2025

Bridging Skill Gaps: Combining Generative and Symbolic AI for Personalized Lifelong Learning Pathways

Pruski C., da Costa Pereira C., Da Silveira M., Marconi G., Gallais M., Tettamanzi A.

Lecture Notes in Computer Science, vol. 15882 LNAI, pp. 19-27, 2025

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