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Please use this identifier to cite or link to this item: http://hdl.handle.net/10197/1340
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Title: Adaptive management of multigranular spatio-temporal object attributes
Author: Camossi, Elena
Bertino, Elisa
Guerrini, Giovanna
Bertolotto, Michela
Date: 2009
Publisher: Springer-Verlag
Is part of: Mamoulis, N. ... [et al.] (eds.). Advances in Spatial and Temporal Databases : 11th International Symposium, SSTD 2009 Aalborg, Denmark, July 8-10, 2009, Proceedings
Type of material: Conference Publication
Abstract: In applications involving spatio-temporal modelling, granularities of data may have to adapt according to the evolving semantics and significance of data. In this paper we define ST2 ODMGe, a multigranular spatio-temporal model supporting evolutions, which encompass the dynamic adaptation of attribute granularities, and the deletion of attribute values. Evolutions are specified as Event - Condition - Action rules and are executed at run-time. The event, the condition, and the action may refer to a period of time and a geographical area. The evolution may also be constrained by the attribute values. The ability of dynamically evolving the object attributes results in a more flexible management of multigranular spatio-temporal data but it requires revisiting the notion of object consistency with respect to class definitions and access to multigranular object values. Both issues are formally investigated in the paper.
Conference details: Paper presented at the 11th International Symposium on Spatial and Temporal Databases, July 8-10, 2009, Aalborg, Denmark
Web link to reference this item: http://hdl.handle.net/10197/1340
ISBN: 0302-9743 (Print)
1611-3349 (Online)
DOI: 10.1007/978-3-642-02982-0_21
Keywords: Spatio-temporal multi-granularityEvolution of spatio-temporal objects
Subject Heading: Object-oriented methods (Computer science)Granular computing
Other web versions: Publisher's version
Status of Item: Peer reviewed
Availability: Full text available
Appears in Collections:CSI Research Collection



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