2012/02/29 by Claudine Métral, Métral, Claudine, Nizar Ghoula +3
Computer Science · Engineering · Social Sciences · #3D Modeling in Geospatial Applications #Advanced Database Systems and Queries #Artificial Intelligence (cs.AI) #Data Management and Algorithms #Data Visualization and Analytics #FOS: Computer and information sciences #Geographic Information Systems Studies #Graphics (cs.GR) #Human-Computer Interaction (cs.HC)
paper · pdf · doi:10.48550/arxiv.1202.6609
openalex publication_date 2012/02/29 · openalex created_date 2022/08/31 · openalex updated_date 2026/08/01
3D city models - which represent in 3 dimensions the geometric elements of a\ncity - are increasingly used for an intended wide range of applications. Such\nuses are made possible by using semantically enriched 3D city models and by\npresenting such enriched 3D city models in a way that allows decision-making\nprocesses to be carried out from the best choices among sets of objectives, and\nacross issues and scales. In order to help in such a decision-making process we\nhave defined a framework to find the best visualization technique(s) for a set\nof potentially heterogeneous data that have to be visualized within the same 3D\ncity model, in order to perform a given task in a specific context. We have\nchosen an ontology-based approach. This approach and the specification and use\nof the resulting ontology of 3D visualization techniques are described in this\npaper.\n