Assumption of undetected construction damages by utilizing description logic and fuzzy set theory in a semantic web environment
Al-Hakam Hamdan, Raimar J. Scherer
Abstract
Within the scope of non-destructive inspections, it frequently happens that damages within the construction structure or at inaccessible areas are not detected. Thus, human experts must assume these damages by evaluating relevant information about the construction and its surroundings, which could become a time consuming and error prone task. For this reason, a new approach is presented in this paper, in which a knowledge system has been developed utilizing Semantic Web Technologies to automatically infer new infor mation about potential undetected damage areas. Thereby, ontological models for defining information about the affected construction and the already inspected damages are used as data input and reasoned by applying predefined rules formalized in Description Logic. Furthermore, the possibility for occurrence of each assumed damage is determined by utilizing fuzzy set theory.