Towards Ontology-Driven Verification of Car Claims Settlement
Ładowanie...
Data
2023
Autorzy
Tytuł czasopisma
ISSN czasopisma
Tytuł tomu
Wydawca
Wydawnictwo Politechniki Łódzkiej
Lodz University of Technology Press
Lodz University of Technology Press
Abstrakt
In the paper, we outline an intelligent tool enabling the users to
automatize the process of verification of the car claims settlement. Two data
sources power the tool. The first one is the source of car images in which
damaged elements are recognized. The second one is the source of PDF
files in which cost estimates are extracted. The designed ontology of car
repair, described in the paper, is used both in the pre-processing step and in
recognition of a typical situations.
Opis
Słowa kluczowe
OWL, ontology of car repairing, deep learning, image recognition, claims settlement, OWL, ontologia naprawy samochodów, głębokie uczenie się, rozpoznawanie obrazu, likwidacja szkód
Cytowanie
Pancerz K., Wolski J., Towards Ontology-Driven Verification of Car Claims Settlement. W: Progress in Polish Artificial Intelligence Research 4, Wojciechowski A. (Ed.), Lipiński P. (Ed.)., Seria: Monografie Politechniki Łódzkiej Nr. 2437, Wydawnictwo Politechniki Łódzkiej, Łódź 2023, s. 219-224, ISBN 978-83-66741-92-8, doi: 10.34658/9788366741928.35.