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Authors: Yang Zheng ; Annies Ductan ; Devin Thomas and Mohamed Y. Eltabakh

Affiliation: Worcester Polytechnic Institute (WPI), United States

ISBN: 978-989-758-035-2

Keyword(s): Spatio-temporal Query Processing, Pattern-matching Queries, GIS, Query Optimization.

Related Ontology Subjects/Areas/Topics: Data Engineering ; Data Management and Quality ; Data Management for Analytics ; Databases and Data Security ; Nosql Databases ; Query Processing and Optimization

Abstract: The increasing complexity of spatio-temporal applications has caused the underlying queries to be more sophisticated and usually carry complex semantics. As a result, the traditional spatio-temporal query types, e.g., range, kNN, and aggregation queries, have become just building blocks in more complex query plans. In this paper, we present the STEPQ system, which is an extensible spatio-temporal query engine for complex pattern processing over spatio-temporal data. STEPQ enables full-fledged and optimized integration between spatiotemporal queries and complex event processing (CEP). This integration enables expressing complex queries that execute the desired application semantics without the need for indifferent middle-aware or application level support. The system is implemented using TerraLib module on top of PostgreSQL DBMSs. The experimental evaluation demonstrates the feasibility and practicality of the STEPQ system, and the efficiency of the proposed optimizations.

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Paper citation in several formats:
Zheng, Y.; Ductan, A.; Thomas, D. and Y. Eltabakh, M. (2014). Complex Patten Processing in Spatio-temporal Databases.In Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA, ISBN 978-989-758-035-2, pages 157-169. DOI: 10.5220/0004992401570169

@conference{data14,
author={Yang Zheng. and Annies Ductan. and Devin Thomas. and Mohamed Y. Eltabakh.},
title={Complex Patten Processing in Spatio-temporal Databases},
booktitle={Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,},
year={2014},
pages={157-169},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004992401570169},
isbn={978-989-758-035-2},
}

TY - CONF

JO - Proceedings of 3rd International Conference on Data Management Technologies and Applications - Volume 1: DATA,
TI - Complex Patten Processing in Spatio-temporal Databases
SN - 978-989-758-035-2
AU - Zheng, Y.
AU - Ductan, A.
AU - Thomas, D.
AU - Y. Eltabakh, M.
PY - 2014
SP - 157
EP - 169
DO - 10.5220/0004992401570169

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