HBIM to VR. Semantic awareness and data enrichment interoperability for parametric libraries of historical architecture
| Autor: | Carlo Battini, Ramona Quattrini, Raissa Mammoli |
|---|---|
| Přispěvatelé: | R. Quattrini, C. Battini, MAMMOLI, RAISSA |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
lcsh:Applied optics. Photonics
Process (engineering) Interoperability Semantic modeling 0211 other engineering and technologies 02 engineering and technology Information System Virtual reality Aware 3D database 01 natural sciences lcsh:Technology Software portability Information system Semantic Modeling Parametric Intelligence Data Enrichment Aware 3D Database Visualization 021101 geological & geomatics engineering Visualization Planning and Development Geography business.industry lcsh:T 010401 analytical chemistry lcsh:TA1501-1820 Data enrichment 0104 chemical sciences Workflow lcsh:TA1-2040 Parametric intelligence Software engineering business lcsh:Engineering (General). Civil engineering (General) Data migration |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLII-2, Pp 937-943 (2018) |
| ISSN: | 2194-9034 |
| Popis: | Recently we assist to an increasing availability of HBIM models rich in geometric and informative terms. Instead, there is still a lack of researches implementing dedicated libraries, based on parametric intelligence and semantically aware, related to the architectural heritage. Additional challenges became from their portability in non-desktop environment (such as VR). The research article demonstrates the validity of a workflow applied to the architectural heritage, which starting from the semantic modeling reaches the visualization in a virtual reality environment, passing through the necessary phases of export, data migration and management. The three-dimensional modeling of the classical Doric order takes place in the BIM work environment and is configured as a necessary starting point for the implementation of data, parametric intelligences and definition of ontologies that exclusively qualify the model. The study also enables an effective method for data migration from the BIM model to databases integrated into VR technologies for AH. Furthermore, the process intends to propose a methodology, applicable in a return path, suited to the achievement of an appropriate data enrichment of each model and to the possibility of interaction in VR environment with the model. |
| Databáze: | OpenAIRE |
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