Implementation Challenges in Spatio-temporal Multigranularity

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Author

Elena Camossi, Michela Bertollo

Tech report number

CERIAS TR 2009-04

Entry type

article

Abstract

Multiple granularities are essential to extract significant knowledge from spatiotemporal datasets at different levels of detail. 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 discuss effective solutions to implementation issues arising when a data model and a query language are enriched with spatio-temporal multigranularity. We propose appropriate representations for space and time dimensions, granularities, granules, and multi-granular values. In particular the design of granularities and their relationships is illustrated with respect to the application of multigranular conversions for data access. Finally, we describe how multigranular spatio-temporal conversions affect data usability and how such important property may be guaranteed. In our discussion, we refer to an existing multigranular spatio-temporal model, whose design was previously proposed as extension of the ODMG data model.

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Date

2009 – 4 – 8

Institution

University College Dublin, Purdue University

Key alpha

Bertino

Affiliation

Elena Camossi. Michela Bertolotto, Elisa Bertino

Publication Date

2009-04-08

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@Article{ Bertino,
	title = "Implementation Challenges in Spatio-temporal Multigranularity",
	author = "Elena Camossi, Michela Bertollo",
	year = "2009",
	month = "4",
	institution = "University College Dublin, Purdue University",
	day = "8",
	abstract = "Multiple granularities are essential to extract significant knowledge from spatiotemporal datasets at different levels of detail. 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 discuss effective solutions to implementation
issues arising when a data model and a query language are enriched with spatio-temporal multigranularity. We propose appropriate representations for space and time dimensions, granularities, granules, and multi-granular values. In particular the design of granularities and their relationships is illustrated with respect to the application of multigranular conversions for data access. Finally, we describe how multigranular spatio-temporal conversions affect data usability and how such important property may be guaranteed. In our discussion, we refer to an existing
multigranular spatio-temporal model, whose design was previously proposed as extension of the ODMG data model.",
	affiliation = "Elena Camossi. Michela Bertolotto, Elisa Bertino",
}