Mining Contextual Rules to Predict Asbestos in Buildings
Résumé
In the context of the work conducted at CSTB (French Scientific and Technical Center for Building), the need for a tool providing assistance in the identification of asbestos-containing materials in buildings was identified. To this end, we have developed an approach, named CRA-Miner, that mines logical rules from a knowledge graph that describes buildings and asbestos diagnoses. Since the specific product used is not defined, CRA-Miner considers temporal data, product types, and contextual information to find a set of candidate rules that maximizes the confidence. These rules can then be used to identify building elements that may contain asbestos and those that are asbestos-free. The experiments conducted on an RDF graph provided by the CSTB show that the proposed approach is promising and a satisfactory accuracy can be obtained.
Domaines
Sciences de l'ingénieur [physics]
Fichier principal
Mining contextual rules to predict asbestos in buildings_ICCS_2021.pdf (470.43 Ko)
Télécharger le fichier
Origine | Fichiers produits par l'(les) auteur(s) |
---|