Indexing the positions of continuously moving objects
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
A foundation for capturing and querying complex multidimensional data
Information Systems - Data warehousing
Computational data modeling for network-constrained moving objects
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Multidimensional data modeling for location-based services
The VLDB Journal — The International Journal on Very Large Data Bases
Querying about the Past, the Present, and the Future in Spatio-Temporal Databases
ICDE '04 Proceedings of the 20th International Conference on Data Engineering
Integrated data management for mobile services in the real world
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Warehousing the world: a few remaining challenges
Proceedings of the ACM tenth international workshop on Data warehousing and OLAP
Extended cascaded star schema and ECOLAP operations for spatial data warehouse
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
Extended cascaded star schema for distributed spatial data warehouse
PPAM'09 Proceedings of the 8th international conference on Parallel processing and applied mathematics: Part I
Cascaded star: a hyper-dimensional model for a data warehouse
DEXA'06 Proceedings of the 17th international conference on Database and Expert Systems Applications
A generic data model for moving objects
Geoinformatica
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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.