Multigranular spatio-temporal models : implementation challenges

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Title: Multigranular spatio-temporal models : implementation challenges
Authors: Camossi, Elena
Bertolotto, Michela
Bertino, Elisa
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Date: 7-Nov-2008
Online since: 2009-09-28T16:15:37Z
Abstract: Multiple granularities provide an essential support for extracting significant knowledge from spatio-temporal datasets at different levels of details. They enable to zoom-in and zoom-out spatio-temporal datasets, thus enhancing the data modelling flexibility and improving the analysis of information. In this paper we investigate the implementation issues arising when a data model and a query language are enriched with spatio-temporal multigranularity. We introduce appropriate representations for space and time dimensions, granularities, granules, and multi-granular values. Finally, we discuss how multigranular spatio-temporal conversions affect data usability and how such important property may be guaranteed.
Funding Details: Science Foundation Ireland; Irish Research Council for Science, Engineering & Technology
Type of material: Conference Publication
Publisher: Association for Computing Machinery (ACM)
Copyright (published version): 2008 ACM
Keywords: Spatio-temporal databasesSpatial and temporal granularitiesMultiresolutionMultirepresentation
Subject LCSH: Granular computing
Computer simulation
DOI: 10.1145/1463434.1463508
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Language: en
Status of Item: Peer reviewed
Is part of: Aref, W. G. ... et al (eds.) Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems (ACM GIS 2008)
Conference Details: Presented at the 16th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM GIS 2008), Irvine, CA, USA, 5-7 November 2008
ISBN: 978-1-60558-323-5/08/1
Appears in Collections:Computer Science Research Collection

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