Temporal logics in AI: semantical and ontological considerations
Artificial Intelligence
A homogeneous relational model and query languages for temporal databases
ACM Transactions on Database Systems (TODS)
The object data standard: ODMG 3.0
The object data standard: ODMG 3.0
A foundation for representing and querying moving objects
ACM Transactions on Database Systems (TODS)
A spatiotemporal database model and query language
Journal of Systems and Software
Time Granularities in Databases, Data Mining and Temporal Reasoning
Time Granularities in Databases, Data Mining and Temporal Reasoning
Supporting User-Defined Granularities in a Spatiotemporal Conceptual Model
Annals of Mathematics and Artificial Intelligence
Temporal Aggregation over Data Streams Using Multiple Granularities
EDBT '02 Proceedings of the 8th International Conference on Extending Database Technology: Advances in Database Technology
Managing Time in GIS: An Event-Oriented Approach
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
The Tripod spatio-historical data model
Data & Knowledge Engineering
Handling Expiration of Multigranular Temporal Objects
Journal of Logic and Computation
Journal of Intelligent Information Systems
Ontology-driven map generalization
Journal of Visual Languages and Computing
Multi-granular spatio-temporal object models: concepts and research directions
ICOODB'09 Proceedings of the Second international conference on Object databases
Journal of Systems and Software
When Spatial Analysis Meets OLAP: Multidimensional Model and Operators
International Journal of Data Warehousing and Mining
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The integrated management of both spatial and temporal components of information is crucial in order to extract significant knowledge from datasets concerning phenomena of interest to a large variety of applications. Moreover, multigranularity, i.e., the capability of representing information at different levels of detail, enhances the data modelling flexibility and improves the analysis of information, enabling to zoom-in and zoom-out spatio-temporal datasets. Relying on an existing multigranular spatio-temporal extension of the ODMG data model, in this paper we describe the design of a multigranular spatio-temporal query language. We extend OQL value comparison and object navigation in order to access spatio-temporal objects with attribute values defined at different levels of detail.