CBR based problem diagnostics application as a decision support system in the cultural heritage objects restoration

In the field of Construction Industry (CI), identification of the appropriate activities for the built objects restoration, particularly cultural heritage objects depends highly on the previous experience of the involved workers and companies which is mainly transferred from one to the next generation in the form of tacit knowledge. The increasingly high number of restoration projects imposes a need to support experiencebased problem diagnostics and to facilitate identification of the appropriate restoration measures. It appears that Case-Based Reasoning (CBR), as a problem solving approach that uses specific knowledge of previous experiences for solving new problems, in a very similar way to how humans rely on their previous experience, is a very promising approach. A CBR-based problem diagnostics application, proposed here, is intended to support CI workers on the restoration site in problem solving in the specific area of the built stock restoration in a fashion resembling the experienced workers' approach.

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