QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm

Fuente: arXiv

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Autori principali:	Minervino, Carlos, Campelo, Claudio, Oliveira, Maxwell, Silva, Salatiel
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Databases
Accesso online:	Acceder al recurso
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_version_	1866911633628987392
author	Minervino, Carlos Campelo, Claudio Oliveira, Maxwell Silva, Salatiel
author_facet	Minervino, Carlos Campelo, Claudio Oliveira, Maxwell Silva, Salatiel
contents	The Spatial Pattern Matching (SPM) query allows for the retrieval of Points of Interest (POIs) based on spatial patterns defined by keywords and distance criteria. However, it does not consider the connectivity between POIs. In this study, we introduce the Qualitative and Quantitative Spatial Pattern Matching (QQ-SPM) query, an extension of the SPM query that incorporates qualitative connectivity constraints. To answer the proposed query type, we propose the QQESPM algorithm, which adapts the state-of-the-art ESPM algorithm to handle connectivity constraints. Performance tests comparing QQESPM to a baseline approach demonstrate QQESPM's superiority in addressing the proposed query type.
format	Preprint
id	arxiv_https___arxiv_org_abs_2312_08992
institution	arXiv
publishDate	2023
record_format	arxiv
spellingShingle	QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm Minervino, Carlos Campelo, Claudio Oliveira, Maxwell Silva, Salatiel Databases The Spatial Pattern Matching (SPM) query allows for the retrieval of Points of Interest (POIs) based on spatial patterns defined by keywords and distance criteria. However, it does not consider the connectivity between POIs. In this study, we introduce the Qualitative and Quantitative Spatial Pattern Matching (QQ-SPM) query, an extension of the SPM query that incorporates qualitative connectivity constraints. To answer the proposed query type, we propose the QQESPM algorithm, which adapts the state-of-the-art ESPM algorithm to handle connectivity constraints. Performance tests comparing QQESPM to a baseline approach demonstrate QQESPM's superiority in addressing the proposed query type.
title	QQESPM: A Quantitative and Qualitative Spatial Pattern Matching Algorithm
topic	Databases
url	https://arxiv.org/abs/2312.08992

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