STAH-TREE: Quality tests of hybrid index for spatio-temporal aggregation

Marcin Gorawski; Michał Gorawski; Michał Faruga

doi:10.3233/978-1-58603-904-2-115

STAH-TREE: Quality tests of hybrid index for spatio-temporal aggregation

Marcin Gorawski
, Michał Gorawski
, Michał Faruga

Department of Applied Informatics (RAU/RAU7)

Silesian University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

This paper presents a new method for storage and access to spatiotemporal data. That is spatial objects that have some non-spatial attributes updated asynchronously. An example of such objects may be water meters. Proposed method is a hybrid of well documented dedicated solutions for spatial, temporal, spatial aggregate and temporal aggregate data processing. Thanks to that it was possible to achieve high performance for detailed and aggregate query processing without usage of approximation. Index name (i.e. STAH-tree) is English abbreviation and can be extended as Spatio-Temporal Aggregation Hybrid Tree. Part of this work aims in creation of cost model checked against experimental results of system performance. Some other experiments that verify system behavior were also performed.

Original language	English
Title of host publication	New Trends in Multimedia and Network Information Systems
Publisher	IOS Press BV
Pages	115-124
Number of pages	10
Edition	1
ISBN (Print)	9781586039042
DOIs	https://doi.org/10.3233/978-1-58603-904-2-115
Publication status	Published - 2008

Publication series

Name	Frontiers in Artificial Intelligence and Applications
Number	1
Volume	181
ISSN (Print)	0922-6389
ISSN (Electronic)	1879-8314

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 1 No Poverty
SDG 6 Clean Water and Sanitation

Keywords

data warehousing
distributed data warehouse
spatio-temporal data warehouse
spatio-temporal indexing

ASJC Scopus subject areas

Artificial Intelligence

Access to Document

10.3233/978-1-58603-904-2-115

Cite this

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abstract = "This paper presents a new method for storage and access to spatiotemporal data. That is spatial objects that have some non-spatial attributes updated asynchronously. An example of such objects may be water meters. Proposed method is a hybrid of well documented dedicated solutions for spatial, temporal, spatial aggregate and temporal aggregate data processing. Thanks to that it was possible to achieve high performance for detailed and aggregate query processing without usage of approximation. Index name (i.e. STAH-tree) is English abbreviation and can be extended as Spatio-Temporal Aggregation Hybrid Tree. Part of this work aims in creation of cost model checked against experimental results of system performance. Some other experiments that verify system behavior were also performed.",

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STAH-TREE: Quality tests of hybrid index for spatio-temporal aggregation. / Gorawski, Marcin; Gorawski, Michał; Faruga, Michał.
New Trends in Multimedia and Network Information Systems. 1. ed. IOS Press BV, 2008. p. 115-124 (Frontiers in Artificial Intelligence and Applications; Vol. 181, No. 1).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

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AU - Gorawski, Michał

AU - Faruga, Michał

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Y1 - 2008

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KW - data warehousing

KW - distributed data warehouse

KW - spatio-temporal data warehouse

KW - spatio-temporal indexing

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M3 - Chapter

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ER -

STAH-TREE: Quality tests of hybrid index for spatio-temporal aggregation

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this