Capturing complex multidimensional data in location-based data warehouses
Igor Timko, Torben Bach Pedersen · 2004
Motivated by the increasing need to handle complex multidimensional data in location-based data warehouses, this paper proposes a powerful data model that is able to capture the complexities of such data. The model provides a foundation for handling complex transportation infrastructures and the attached static and dynamic content, and performing queries on this data. The model is motivated with a comprehensive real-world case study, based on our collaboration with a leading Danish vendor of location-based services.