Research Article
Proposing Spatial - Temporal - Semantic Data Model Managing Genealogy and Space Evolution History of Objects in 3D Geographical Space
@INPROCEEDINGS{10.1007/978-3-030-67101-3_13, author={Dang Van Pham}, title={Proposing Spatial - Temporal - Semantic Data Model Managing Genealogy and Space Evolution History of Objects in 3D Geographical Space}, proceedings={Context-Aware Systems and Applications, and Nature of Computation and Communication. 9th EAI International Conference, ICCASA 2020, and 6th EAI International Conference, ICTCC 2020, Thai Nguyen, Vietnam, November 26--27, 2020, Proceedings}, proceedings_a={ICCASA \& ICTCC}, year={2021}, month={1}, keywords={Spatial - temporal - semantic data model STSDM Spatial evolutionary history Spatial queries Space objects}, doi={10.1007/978-3-030-67101-3_13} }- Dang Van Pham
Year: 2021
Proposing Spatial - Temporal - Semantic Data Model Managing Genealogy and Space Evolution History of Objects in 3D Geographical Space
ICCASA & ICTCC
Springer
DOI: 10.1007/978-3-030-67101-3_13
Abstract
Managing construction projects in new urban areas is an essential work for construction contractors as well as authorities at all levels. In this management, managing the spatial evolutionary history of two-dimensional (2D), two-point-five-dimensional (2.5D) and three-dimensional (3D) spatial objects over time and semantics in 3D geographical space is an urgent and extremely important work. This paper proposes a spatial - temporal - semantic data model (STSDM), spatial queries over time and semantics, and algorithms finding the ancestors and descendants of space objects (ASA and DSA). The paper presents some empirical results about the spatial evolutionary history of spatial objects over time and semantics. The experimental results show that it can completely be used to trace the space evolution history of bridges, houses and apartments at a given time or in a given period in new urban management applications.
