ML System engineering supported by a body of knowledge - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

ML System engineering supported by a body of knowledge

Juliette Mattioli
Dominique Tachet
  • Fonction : Auteur
Fabien Tschirhart
  • Fonction : Auteur
  • PersonId : 1418025
Henri Sohier
  • Fonction : Auteur
  • PersonId : 1054948
Loic Cantat
  • Fonction : Auteur
  • PersonId : 751231
  • IdHAL : loic-cantat

Résumé

A body of knowledge (BoK) can be defined as the comprehensive set of concepts, terminology, standards, and activities that facilitate the dissemination of knowledge about a specific field, providing guidance for practice or work. This paper presents a methodology for the construction of a body of knowledge (BoK) based on knowledge-based artificial intelligence. The process begins with the identification of relevant documents and data, which are then used to capture concepts, standards, best practices, and state-of-the-art. These knowledge items are then fused into a knowledge graph, and finally, query capacities are provided. The overall process of knowledge collection, storage, and retrieval is implemented with the objective of supporting a trustworthy machine learning (ML) end-to-end engineering methodology, through the ML Engineering BoK.
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Dates et versions

hal-04725316 , version 1 (08-10-2024)

Identifiants

  • HAL Id : hal-04725316 , version 1

Citer

Juliette Mattioli, Dominique Tachet, Fabien Tschirhart, Henri Sohier, Loic Cantat, et al.. ML System engineering supported by a body of knowledge. 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (KMIS), Nov 2024, Porto (Portugal), France. ⟨hal-04725316⟩
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