An algebraic framework for temporal attribute characteristics
Annals of Mathematics and Artificial Intelligence
Querying Multigranular Spatio-temporal Objects
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Adaptive Management of Multigranular Spatio-Temporal Object Attributes
SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases
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A well-known problem of temporal databases is that the amount of stored data tends to increase very fast. Moreover, detailed data are useful when they are acquired but they often become less relevant after some time. In most cases, after a period of time only summarized data need to be kept, whereas detailed data expire and can be removed from the database. Multigranular temporal databases enhance the expressive power of temporal databases by supporting temporal attributes at different levels of detail. However, in existing approaches the level of detail of an attribute, that is its granularity, depends only on the attribute semantics and does not depend on how recent the attribute values are. This paper proposes an approach supporting the aggregation of different portions of the value of a temporal attribute at different levels of detail, and the deletion or the transfer to tertiary storage of old values at a given level of detail, in order to minimize disk storage occupancy. In the proposed multigranular temporal object-oriented data model, the expiration of attribute values at a given granularity can be specified, together with the action to take when data expire: either aggregation to a coarser granularity, or deletion of values, or both.