Level: PhD

Formal methods for knowledge extraction and reuse from heterogeneous sources: applications to the semantic interoperability of distributed architectures

Timeline: Nov 2021 – Oct 2024

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100% Progress

Thesis Abstract

No description or abstract summary has been set for this thesis.

Related Publications

Leutwyler, N., Lezoche, M., Franciosi, C., Panetto, H., Teste, L., & Torres, D. (2024). Methods for concept analysis and multi-relational data mining: a systematic literature review. Knowledge and Information Systems, 66, 5113–5150. https://doi.org/10.1007/s10115-024-02139-x
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Leutwyler, N., Lezoche, M., Torres, D., & Panetto, H. (2023). Towards a Flexible and Scalable Data Stream Algorithm in FCA. In Graph-Based Representation and Reasoning (pp. 104–117). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-40960-8_9
inbook
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Leutwyler, N., Lezoche, M., Panetto, H., & Torres, D. (2023). Software genérico para benchmarking del Análisis Conceptual Formal: Integración de Orange3. Electronic Journal of SADIO (EJS), 22(3), 28–40. https://publicaciones.sadio.org.ar/index.php/EJS/article/view/597
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#software engineering
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Nicolás, L., Mario, L., Diego, T., & Hervé, P. (2023). Multi-relational and Concept Analysis based Knowledge extraction in the Industry 4.0: A systematic mapping. IFAC-PapersOnLine, 56(2), 7318–7329. https://doi.org/https://doi.org/10.1016/j.ifacol.2023.10.345
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#industry 4.0
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Thesis Profile

Student
Nicolás Leutwyler
Career / Program
Doctorado de la Universidad de Lorena y Doctorado de la UNQ
Director
Diego Torres, Mario Lezoche, Hervé Panetto
Thesis Completion Milestone
100%

Involved lab members

Scientific Keywords

Keywords:

Relational Concept Analysis, Big Data, Knowledge Discovering

#formal methods
#semantic web