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Authors: Marcin Gorawski and Michał Faruga

Affiliation: Institute of Computer Science, Silesian University of Technology, Poland

Keyword(s): Spatial databases, temporal databases, aggregation index, multi-version access methods.

Related Ontology Subjects/Areas/Topics: Data Warehouses and OLAP ; Databases and Information Systems Integration ; Enterprise Information Systems

Abstract: This paper presents a new index that stores spatiotemporal data and provides efficient algorithms for processing range and time aggregation queries where results are precise values not an approximation. In addition, this technology allows to reach detailed information when they are required. Spatiotemporal data are defined as static spatial objects with non spatial attributes changing in time. Range aggregation query computes aggregation over set of spatial objects that fall into query window. Its temporal extension allows to define additional time constraints. Index name (i.e. STAH-tree) is English abbreviation and can be extended as Spatio-Temporal Aggregation Hybrid Tree. STAH-tree is based on two well known indexing techniques. R– and aR–tree for storing spatial data and MVB-tree for storing non-spatial attributes values. These techniques were extended with new functionality and adopted to work together. Cost model for node accesses was also developed.

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Paper citation in several formats:
Gorawski, M. and Faruga, M. (2007). STAH-TREE - Hybrid Index for Spatio Temporal Aggregation. In Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS; ISBN 978-972-8865-88-7; ISSN 2184-4992, SciTePress, pages 113-118. DOI: 10.5220/0002386601130118

@conference{iceis07,
author={Marcin Gorawski. and Michał Faruga.},
title={STAH-TREE - Hybrid Index for Spatio Temporal Aggregation},
booktitle={Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS},
year={2007},
pages={113-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002386601130118},
isbn={978-972-8865-88-7},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the Ninth International Conference on Enterprise Information Systems - Volume 3: ICEIS
TI - STAH-TREE - Hybrid Index for Spatio Temporal Aggregation
SN - 978-972-8865-88-7
IS - 2184-4992
AU - Gorawski, M.
AU - Faruga, M.
PY - 2007
SP - 113
EP - 118
DO - 10.5220/0002386601130118
PB - SciTePress