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Adaptive management of multigranular spatio-temporal object attributes
Date Issued
2009
Date Available
2009-08-07T15:53:12Z
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.
Sponsorship
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
Subject – LCSH
Object-oriented methods (Computer science)
Granular computing
Web versions
Language
English
Status of Item
Peer reviewed
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)
This item is made available under a Creative Commons License
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