Trajectory sequential patterns with regular expression constraints including spatial queries

"Moving object (MO) data representation and computing have received a fair share of attention over recent years from the database community. Replacing raw trajectory data (i.e., MO positions at different time instants) by sequences of application-dependent stops occurred at so-called places of...

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Autores principales: Gardella, Pablo, Gómez, Leticia Irene, Vaisman, Alejandro Ariel
Formato: Ponencias en Congresos acceptedVersion
Lenguaje:Inglés
Publicado: 2022
Materias:
BASES DE DATOS
OLAP
MOVIMIENTO
Acceso en línea:http://ri.itba.edu.ar/handle/123456789/3893
Aporte de:
Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA) de Instituto Tecnológico de Buenos Aires (ITBA)
id I32-R138-123456789-3893
record_format dspace
spelling I32-R138-123456789-38932022-12-07T14:13:37Z Trajectory sequential patterns with regular expression constraints including spatial queries Gardella, Pablo Gómez, Leticia Irene Vaisman, Alejandro Ariel BASES DE DATOS OLAP MOVIMIENTO "Moving object (MO) data representation and computing have received a fair share of attention over recent years from the database community. Replacing raw trajectory data (i.e., MO positions at different time instants) by sequences of application-dependent stops occurred at so-called places of interest (Pols) leads to the notion of semantic trajectories. Different techniques exist for sequential pattern analysis of trajectories defined in this way. One of them, RE-SPaM, expresses sequential patterns by means of regular expressions built not only over item identifiers, but also over constraints defined on the (temporal and non-temporal) attributes of the items to be analyzed. This analysis could be greatly enriched if spatial and non-spatial data associated with the MO are taken into account. In this paper we show how we can take advantage of the extensibility properties of RE-SPaM to augment its expressive power by allowing to include spatial queries in the constraints. For this, we make use of Piet, a framework allowing to integrate OLAP, GIS and MO data, and its associated query language denoted Piet-QL, providing a link between moving object data and their geographic environment." 2022-05-23T19:13:59Z 2022-05-23T19:13:59Z 2010-05 Ponencias en Congresos info:eu-repo/semantics/acceptedVersion http://ri.itba.edu.ar/handle/123456789/3893 en https://creativecommons.org/licenses/by/4.0/ application/pdf
institution Instituto Tecnológico de Buenos Aires (ITBA)
institution_str I-32
repository_str R-138
collection Repositorio Institucional Instituto Tecnológico de Buenos Aires (ITBA)
language Inglés
topic BASES DE DATOS
OLAP
MOVIMIENTO
spellingShingle BASES DE DATOS
OLAP
MOVIMIENTO
Gardella, Pablo
Gómez, Leticia Irene
Vaisman, Alejandro Ariel
Trajectory sequential patterns with regular expression constraints including spatial queries
topic_facet BASES DE DATOS
OLAP
MOVIMIENTO
description "Moving object (MO) data representation and computing have received a fair share of attention over recent years from the database community. Replacing raw trajectory data (i.e., MO positions at different time instants) by sequences of application-dependent stops occurred at so-called places of interest (Pols) leads to the notion of semantic trajectories. Different techniques exist for sequential pattern analysis of trajectories defined in this way. One of them, RE-SPaM, expresses sequential patterns by means of regular expressions built not only over item identifiers, but also over constraints defined on the (temporal and non-temporal) attributes of the items to be analyzed. This analysis could be greatly enriched if spatial and non-spatial data associated with the MO are taken into account. In this paper we show how we can take advantage of the extensibility properties of RE-SPaM to augment its expressive power by allowing to include spatial queries in the constraints. For this, we make use of Piet, a framework allowing to integrate OLAP, GIS and MO data, and its associated query language denoted Piet-QL, providing a link between moving object data and their geographic environment."
format Ponencias en Congresos
acceptedVersion
author Gardella, Pablo
Gómez, Leticia Irene
Vaisman, Alejandro Ariel
author_facet Gardella, Pablo
Gómez, Leticia Irene
Vaisman, Alejandro Ariel
author_sort Gardella, Pablo
title Trajectory sequential patterns with regular expression constraints including spatial queries
title_short Trajectory sequential patterns with regular expression constraints including spatial queries
title_full Trajectory sequential patterns with regular expression constraints including spatial queries
title_fullStr Trajectory sequential patterns with regular expression constraints including spatial queries
title_full_unstemmed Trajectory sequential patterns with regular expression constraints including spatial queries
title_sort trajectory sequential patterns with regular expression constraints including spatial queries
publishDate 2022
url http://ri.itba.edu.ar/handle/123456789/3893
work_keys_str_mv AT gardellapablo trajectorysequentialpatternswithregularexpressionconstraintsincludingspatialqueries
AT gomezleticiairene trajectorysequentialpatternswithregularexpressionconstraintsincludingspatialqueries
AT vaismanalejandroariel trajectorysequentialpatternswithregularexpressionconstraintsincludingspatialqueries
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