A system for spatial-temporal trajectory data integration and representation

Douglas Alves Peixoto*, Xiaofang Zhou, Nguyen Quoc Viet Hung, Dan He, Bela Stantic

*Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

Different GPS devices and transportation companies record and store their data using various formats. Even though GPS data often contains the same spatial-temporal and semantic attributes, describing the moving object’s trajectory, the integration of these datasets into a single format and storage platform is yet an issue. Therefore, we deliver a data integration system for simplified loading and preprocessing of trajectory data into a standard text platform; this facilitates data access and processing by any trajectory application using multiple and heterogeneous datasets.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Proceedings
EditorsJian Pei, Shazia Sadiq, Jianxin Li, Yannis Manolopoulos
PublisherSpringer Verlag
Pages807-812
Number of pages6
ISBN (Print)9783319914572
DOIs
Publication statusPublished - 2018
Externally publishedYes
Event23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018 - Gold Coast, Australia
Duration: 21 May 201824 May 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10828 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018
Country/TerritoryAustralia
CityGold Coast
Period21/05/1824/05/18

Bibliographical note

Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.

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