The aim of this research line is to investigate and develop methods to efficiently store and maintain 3DTOP10NL in a database, and to disseminate it to practitioners. The existing open-source database solutions for managing 3D volumetric objects will be tested with massive datasets and improved, if necessary.
The biggest challenge is the management of massive TINs (triangulated irregular networks) in a database. We will investigate, design and develop new data structures (eg based on this and that), implement them, and compare different alternatives (in terms of storage space, query time, etc).
Furthermore, a prototype download service that generates 3D datasets tailored to specific applications will be explored, eg WFS for 3D objects and massive triangulations.