Rule-based inferencing diagnosis in HBIM

Bruno, S. and Musicco, A. and Galantucci, R.A. and Fatiguso, F. (2020) Rule-based inferencing diagnosis in HBIM. Archeologia e Calcolatori, 31 (2). pp. 269-280. ISSN 1120-6861

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Abstract

The aim of this paper is the implementation of a methodological workflow for the diagnosis of masonry settlings, within the HBIM approach, developing a rule-based logical inference tool in Visual Programming Language. The rule-based inferencing diagnosis is a guided process, which increases the confidence factor about settlings and actual causes, on the basis of surveyors’ technical insights and evidences. The final step is the suggestion of appropriate interventions. The results show that inference logic is directly applicable to the diagnosis problem; their efficacy depends on i) the structured parametric and data modelling of decay patterns in the HBIM model and ii) the knowledge base training. The application has been validated on a case study, Masseria Don Cataldo (Bari, South Italy).

Item Type: Article
Additional Information: in Caravale A., Moscati P. (eds.), Logic and computing. The underlying basis of digital archaeology. Proceedings of the MetroArchaeo 2019 Special Session, 2019 IMEKO TC-4 International Conference on Metrology for Archaeology and Cultural Heritage (Florence, 4-6 December 2019)
Uncontrolled Keywords: Virtual Reality and 3D Modelling; Conservation and restoration
Subjects: 900 Storia, Geografia e discipline ausiliarie > 930 Storia dei mondo antico fino al 499 ca. > 930.1 Archeologia (Classificare qui la Storia fino al 4000 a.C., l'Archeologia preistorica, le opere interdisciplinari sull'Archeologia) > 930.102 Archeologia - Opere miscellanee > 930.1028 Archeologia – Tecniche, metodologie, apparecchi e strumenti (comprende: Archeometria) > 930.10285 Archeologia – Applicazioni informatiche (comprende: tecniche di datazione)
Depositing User: Dott.ssa Paola Moscati
Date Deposited: 22 Mar 2024 10:59
Last Modified: 22 Mar 2024 10:59
URI: http://eprints.bice.rm.cnr.it/id/eprint/20495

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