A conceptual spatio-temporal multidimensional model
Today, thanks to global positioning systems technologies and mobile devices equipped with tracking sensors, and a lot of data about moving objects can be collected, e.g., spatio-temporal data related to the movement followed by objects. On the other hand, data warehouses, usually modeled using a mul...
- Autores:
-
Moreno, Francisco
Echeverri Arias, Jaime Alberto
Manrique Losada, Bell
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2010
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- spa
- OAI Identifier:
- oai:repository.udem.edu.co:11407/817
- Acceso en línea:
- http://hdl.handle.net/11407/817
- Palabra clave:
- Data warehouses
multidimensional models
conceptual modeling
moving objects
- Rights
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/
| Summary: | Today, thanks to global positioning systems technologies and mobile devices equipped with tracking sensors, and a lot of data about moving objects can be collected, e.g., spatio-temporal data related to the movement followed by objects. On the other hand, data warehouses, usually modeled using a multidimensional view of data, are specialized databases to support the decision-making process. Unfortunately, conventional data warehouses are mainly oriented to manage alphanumeric data. In this article, we incorporate temporal elements to a conceptual spatial multidimensional model resulting in a spatio-temporal multidimensional model. We illustrate our proposal with a case study related to animal migration. |
|---|