Luc Lavoie
Co-founder and scientific co-director of the GRIIS
Associate professor of computer science at Université de Sherbrooke
Luc Lavoie is scientific co-director of the GRIIS. With the help of students, he pursues several research projects related to the analysis, specification, development and maintenance of computerized systems for small and medium organizations. Databases are at the center of his interests in both research and teaching. He leads Μῆτις, a think-tank and sharing group on computer science education.
In the field of databases, Luc Lavoie is interested in the semantics of new definition and exploitation languages. He explores the foundations of relational theory, type theory and temporal data modeling. He collaborates in the development of new relational languages (e.g. Tutorial D) and relational-temporal languages (e.g. Discipulus). In requirement engineering, his work focuses on the systematization of processes with respect to configuration verification, validation and management. In project management, he concentrates on process-driven planning.
Education
M.Sc., Université de Montréal, computer science
Supervision
Publications
2298129
Journal Article
Luc Lavoie
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Khnaisser C, Looten V, Lavoie L, Burgun A, Ethier J-F (2024) Building ontology-based temporal databases for data reuse: An applied example on hospital organizational structures. Health Informatics J 30. Cite
Khnaisser C, Lavoie L, Fraikin B, Barton A, Dussault S, Burgun A, Ethier J-F (2022) Using an ontology to derive a sharable and interoperable relational data model for heterogeneous healthcare data and various applications. Methods Inf Med 61:e73–e88. https://doi.org/10.1055/a-1877-9498 Cite Download
Ecarot T, Fraikin B, Lavoie L, McGilchrist M, Ethier J-F (2021) A Sensitive Data Access Model in Support of Learning Health Systems. Computers 10:25. https://doi.org/10.3390/computers10030025 Cite Download
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Luc Lavoie
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Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data warehouse design methods review: Trends, challenges and future directions for the healthcare domain. In: Morzy T, Valduriez P, Bellatreche L (eds) New Trends in Databases and Information Systems. Springer International Publishing, pp 76–87 Cite Download Download
2298129
Conference Paper
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Lavoie L
2565
https://griis.ca/wp-content/plugins/zotpress/
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Ecarot T, Fraikin B, Lavoie L, McGilchrist MM, Ethier J-F (2021) Learning health systems: An anonymous network routing protocol. In: Almeida JR, Gonzalez AR, Shen L, Kane B, Soda P, Oliveira JL (eds) Proceedings of the IEEE Symposium on Computer-Based Medical Systems. pp 562–567 Cite
Barton A, Fabry P, Lavoie L, Ethier J-F (2019) LABO: An ontology for laboratory test prescription and reporting. In: Proceedings of the Joint Ontology Workshops 2019 (JOWO 2019). Graz, Autriche, pp 1–9 Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2017) Past Indeterminacy in Data Warehouse Design. In: Benslimane D, Damiani E, Grosky WI, Hameurlain A, Sheth A, Wagner RR (eds) Database and Expert Systems Applications. Springer, Cham, pp 90–100 Cite Download
Khnaisser C, Lavoie L, Ethier J-F (2017) Unified bitemporal modelling framework for automatic data warehouse design. In: 28th International Conference on Database and Expert Systems Applications DEXA 2017. Lyon, France Cite
Barton A, Khnaisser C, Lavoie L, Ethier J-F (2017) Ambiguities in medical bitemporalized relational databases: A referent tracking view. In: Proceedings of the Joint Ontology Workshops 2017. Boeker, M., Herre, H., Jansen, L., Loebe, F., & Shober, D., Bolzano, Italie, pp 1–5 Cite Download
Ethier J-F, Taseen R, Lavoie L, Barton A (2016) Improving the semantics of drug prescriptions with a realist ontology. In: Jaiswal P, Hoehndorf R, Arighi C, Meier A (eds) Proceedings of the Joint International Conference on Biological Ontology and BioCreative. Oregon, États-Unis, p IT603:1-6 Cite Download
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data Warehouse Design Methods Review: Trends, Challenges and Future Directions for the Healthcare Domain. In: Morzy T, Valduriez P, Bellatreche L (eds) New Trends in Databases and Information Systems. Springer International Publishing, pp 76–87 Cite
2298129
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Lavoie L
2565
https://griis.ca/wp-content/plugins/zotpress/
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Bungama PA, Lavoie L (2021) Optimisation des requêtes relatives aux trajectoires de soin Cite
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Architecture et méthode de construction d’entrepôts de données au coeur des systèmes informationnels régionaux de santé. Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2015) Étude comparative des modèles temporels BCDM et DDLM dans le contexte d’entrepôt de données. Cite
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2014) Génération automatisée de schémas relationnels bitemporels dans un contexte d’entrepôt de données Cite
2298129
Report
Luc Lavoie
https://www.zotero.org/styles/springer-basic-author-date-no-et-al
50
date
desc
year
1
1
title
Lavoie L
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Khnaisser C, Lavoie L, Fraikin B, Barton A, Burgun A, Ethier J-F (2019) Generating a relational database for heterogeneous data using an ontology Cite Download
Khnaisser C, Lavoie L, Burgun A, Ethier J-F (2017) Unified bitemporal historicization framework. Université de Sherbrooke (GRIIS), Sherbrooke, Canada Cite
Khnaisser C, Lavoie L, Diab H, Ethier J-F (2015) Data warehouse design methods review for the healthcare domain. Université de Sherbrooke, Sherbrooke, Canada Cite Download
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