Enabling semantic interoperability for risk and vulnerability analysis of public buildings

Abstract

The risk and vulnerability analysis of buildings identifies buildings with high exposure to natural hazards. It is crucial to prevent or reduce damage and economic loss for the construction and property management industry. The government, as well as private landowners, benefit from risk and vulnerability assessment of their real estate portfolio. In this paper, we propose a semantic-enhanced method to simplify the risk and vulnerability assessment process and improve interoperability of real estate and natural hazards data. The method relies on the publication and integration of data from various sources as linked data. Visualization of the integrated data is also presented, together with application scenarios.