Adaptive management of multigranular spatio-temporal object attributes

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Title: Adaptive management of multigranular spatio-temporal object attributes
Authors: Camossi, Elena
Bertino, Elisa
Guerrini, Giovanna
Bertolotto, Michela
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Date: 2009
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.
Funding Details: Science Foundation Ireland ; Irish Research Council for Science, Engineering & Technology
Type of material: Conference Publication
Publisher: Springer-Verlag
Copyright (published version): Springer-Verlag Berlin Heidelberg 2009
Keywords: Spatio-temporal multi-granularityEvolution of spatio-temporal objects
Subject LCSH: Object-oriented methods (Computer science)
Granular computing
DOI: 10.1007/978-3-642-02982-0_21
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Language: en
Status of Item: Peer reviewed
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
Conference Details: Paper presented at the 11th International Symposium on Spatial and Temporal Databases, July 8-10, 2009, Aalborg, Denmark
ISBN: 0302-9743 (Print)
1611-3349 (Online)
Appears in Collections:Computer Science Research Collection

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