Spatio-Temporal Data Integration for Knowledge-Driven Analysis of Historic Built Heritage Conservation State

Abstract. The conservation process of a historic architectural building has the objective of a continuum of knowledge that originates in the past and must persist into the future (ISPC CNR, 2021), in the logic by which the components of architecture are internal to evolutionary processes that leave a tangible trace (Moioli and Baldioli, 2018). Thus, the digitisation of an architectural asset is a progression of knowledge capture and management. Its flow of information moves from observation to processing of data up to their contextualized digital representation. The next step is the ability to produce predictive content. This article explores the in-progress experimentation of a doctoral thesis. It is proposing a methodological contribution for the optimization of the information flow continuity within a digitisation process functional to a conservation strategy for the Historical Built Heritage. The instrumental result of the experiment is a query, visualization and inference environment optimized for the analysis of building transformation over time, to support diagnostic activities through multidimensional representation and access to a structured knowledge base. The integration between virtualization and descriptive information improves the understanding of the asset framed in a space-time system. The methodology was applied to the ecosystem of data on the conservation state of the church of San Giovannello di Gerace (RC) and considering the main transformations that have affected it over time.