Fabrizio APOLLONIO
(Department of Architecture, University of Bologna Italy)
Keywords: Digital reconstruction, Uncertainty visualization, Semantic structure
Abstract:
A scientific hypothetical reconstruction requires a scientific methodology concerning to reconstruction process and its documentation. An appropriate theoretical and analytical study of virtual reconstruction practice of architectural/archaeological heritage artefacts no longer existing and partially documented, as well as a methodological approach to display the data‐processing behind the 3D modelling practice are strictly necessary in order to cover the gap between the interpretation and the original data.
In order to validate the 3D modelling reconstruction process and to facilitate the exchange and reuse of information and collaboration between experts in various disciplines we maybe have to look at new standards due to reusability and accessibility of knowledge of 3D digital models: for a better interpretation of digital heritage artefacts we need a comprehensive interpretive method. Because many hypothetical reconstructions are the result of highly complex design decision we decide to focus attention to the cognitive-process.
The process of reconstruction is essentially composed by decisions based on various set of input data that are interpreted and integrated. This subjectivity, if not correctly reported, compromises the validity of a whole virtual reconstruction. As “The London Charter for the computer based visualization of Cultural Heritage” asserts, in order to set up principles for visualization methods and its outcomes in heritage contexts, we need to prescribe a specific method, and to define a guideline for the use of computer-based visualization in relation to intellectual integrity, reliability, documentation, sustainability and access of heritage artefacts.
The results concern the definition of a new approach to Paradata Documentation creating a conceptual scheme able to clarify the relationship between research sources, implicit knowledge, explicit reasoning, and visualisation-based outcomes, and the aim to establish a “model validation” process, able to define a common and agreed upon standards.