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  5. Multi-granular spatio-temporal object models : concepts and research directions
 
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Multi-granular spatio-temporal object models : concepts and research directions

Author(s)
Bertino, Elisa  
Camossi, Elena  
Bertolotto, Michela  
Uri
http://hdl.handle.net/10197/1339
Date Issued
2009-07-03
Date Available
2009-08-06T15:53:56Z
Abstract
The capability of representing spatio-temporal objects is fundamental when analysing and monitoring the changes in the spatial configuration of a geographical area over a period of time. An important requirement when managing spatio-temporal objects is the support for multiple granularities. In this paper we discuss how the modelling constructs of object data models can be extended for representing and querying multi-granular spatio-temporal objects. In particular, we describe object-oriented formalizations for granularities, granules, and multi-granular values, exploring the issues of value conversions. Furthermore, we formally define an object-oriented multi-granular query language, and discuss the dynamic adapting of multi-granular data. Finally, we illustrate the current open research issues of multi-granular spatio-temporal data handling.
Sponsorship
Science Foundation Ireland ; Irish Research Council for Science, Engineering & Technology
Type of Material
Conference Publication
Publisher
Springer
Copyright (Published Version)
Springer-Verlag Berlin Heidelberg 2010
Subjects

Spatio-temporal multi...

Object oriented model...

Subject – LCSH
Object-oriented methods (Computer science)
Granular computing
DOI
10.1007/978-3-642-14681-7_8
Web versions
http://dx.doi.org/10.1007/978-3-642-14681-7_8
Language
English
Status of Item
Peer reviewed
Journal
M.C. Norrie and M. Grossniklaus (eds.). Object databases : Second International Conference, ICOODB 2009 Zurich, Switzerland, July 1-3, 2009 : Revised Papers, LNCS 5936
Conference Details
Paper presented at the International Conference on Object Databases, 1-3 July 2009, Zurich
ISBN
978-3-642-14680-0
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-sa/1.0/
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ICOODB09.pdf

Size

504.78 KB

Format

Adobe PDF

Checksum (MD5)

1b484a3279997a8d2ccf8f7569c18809

Owning collection
Computer Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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