ML System Engineering Supported by a Body of Knowledge

Juliette Mattioli, Dominique Tachet, Fabien Tschirhart, Henri Sohier, Loic Cantat, Boris Robert, Boris Robert

2024

Abstract

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.

Paper Citation

in Harvard Style

Mattioli J., Tachet D., Tschirhart F., Sohier H., Cantat L. and Robert B. (2024). ML System Engineering Supported by a Body of Knowledge. In Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS; ISBN 978-989-758-716-0, SciTePress, pages 331-338. DOI: 10.5220/0013048500003838

in Bibtex Style

@conference{kmis24,
author={Juliette Mattioli and Dominique Tachet and Fabien Tschirhart and Henri Sohier and Loic Cantat and Boris Robert},
title={ML System Engineering Supported by a Body of Knowledge},
booktitle={Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS},
year={2024},
pages={331-338},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013048500003838},
isbn={978-989-758-716-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 3: KMIS
TI - ML System Engineering Supported by a Body of Knowledge
SN - 978-989-758-716-0
AU - Mattioli J.
AU - Tachet D.
AU - Tschirhart F.
AU - Sohier H.
AU - Cantat L.
AU - Robert B.
PY - 2024
SP - 331
EP - 338
DO - 10.5220/0013048500003838
PB - SciTePress