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Approches sémantiques pour la prédiction de présence d'amiante dans les bâtiments : une approche probabiliste et une approche à base de règles. (Semantic approaches for predicting the presence of asbestos in buildings: a probabilistic approach and a rule-based approach).. University of Paris-Saclay, France, (2022)An Approach Toward a Prediction of the Presence of Asbestos in Buildings Based on Incomplete Temporal Descriptions of Marketed Products., , , и . K-CAP, стр. 239-242. ACM, (2019)Modular knowledge integration for smart building digital twins., , , , , , и . LDAC, том 3633 из CEUR Workshop Proceedings, стр. 123-138. CEUR-WS.org, (2023)CODE-ACCORD: A Corpus of Building Regulatory Data for Rule Generation towards Automatic Compliance Checking., , , , , , , , , и 4 other автор(ы). CoRR, (2024)Mining Contextual Rules to Predict Asbestos in Buildings., , , , и . ICCS, том 12879 из Lecture Notes in Computer Science, стр. 170-184. Springer, (2021)Approche de prédiction de présence d'amiante dans les bâtiments basée sur l'exploitation des descriptions temporelles incomplètes de produits commercialisés., , , и . IC, стр. 144-157. (2019)A Neighborhood Encoding for Subgraph Queries in Graph Databases., , , , и . DEXA (1), том 14146 из Lecture Notes in Computer Science, стр. 377-391. Springer, (2023)A semantic blockchain-based system for drug traceability., , , , , , и . IDEAS, стр. 115-118. ACM, (2023)Découverte de règles contextuelles pour prédire la présence d'amiante dans les bâtiments., , , , и . IC, стр. 81-88. (2021)Drug traceability system based on semantic blockchain and on a reputation method., , , , , , , и . World Wide Web (WWW), 27 (5): 62 (сентября 2024)