Formal methods for knowledge extraction and reuse from heterogeneous sources: applications to the semantic interoperability of distributed architectures
Ficha técnica
| Título: | Formal methods for knowledge extraction and reuse from heterogeneous sources: applications to the semantic interoperability of distributed architectures |
| Alumno: | Leutwyler Nicolás |
| Inicio: | 24 Noviembre 2021 |
| Dirección: | Diego Torres, Mario Lezoche, Hervé Panetto |
| Co-Dirección: | |
| Participantes (del LIFIA) | Diego Torres |
Resumen
Publicaciones
Nicolas Leutwyler, Mario Lezoche, Diego Torres, Hervé Panetto. Multi-relational and Concept Analysis based Knowledge extraction in the Industry 4.0: A systematic mapping. 22nd IFAC World Congress, Jul 2023, Yokohama, Japan. pp.7909-7920. ⟨hal-04189347⟩
Nicolás Leutwyler, Mario Lezoche, Diego Torres and Hervé Panetto: Towards a Flexible and Scalable Data Stream Algorithm in FCA. In: Graph-Based Representation and Reasoning. (2023), 104--117
Proyectos
Collaborative Group Decision for knowledge acquisition in agriculture using AI techniques. Financiado por STIC AmSud. Duración: 1/3/2022-1/3/2023
Soporte semántico para mejorar la calidad de los requerimientos. Financiado por Facultad de Informática - Programa I+D+i con alumnos. Dirigido por Diego Torres, Leandro Antonelli. Duración: 1/3/2022-31/12/2022
AGROFAIR – Agro-Knowledge Integration: Developing a FAIR data science approach for adding value to the agricultural supply chain. Financiado por Programa SticAmSud. Duración: 1/1/2021-31/12/2022