ABSTRACT
Although, catalogues and collections exist which contain knowledge about damage and common patterns that could enable the application of software assessment methods, recorded damage data must still be evaluated by experts. For this reason, an approach is developed and discussed in this article that allows the semi-automatic conclusion of damage causations by the input of inspection data and vice versa. Therefore, an ontology is created by using the Web Ontology Language (OWL) which is structured in the three knowledge domains for+ damage-, structure-, and causational elements, so that unidentified information could be retrieved by using semantic reasoning. Furthermore, the damage is structured in reference damage patterns which allow computer-aided modelling of damage based on predefined conditions or parameters. Additionally, retrieved data can be mapped to a generic damage model, which can be linked with external data sources such as measurement datasets as well as BIM models.
