ASTEP: Aau's spatio-temporal data analytics platform

Marc Beuchert*, Steffen Hald Jensen, Omar Ali Sheikh-Omar, Mathias Bach Svendsen, Bin Yang

*Corresponding author for this work

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

6 Citations (Scopus)

Abstract

We demonstrate aSTEP, a spatio-temporal data management and analytics platform developed at Aalborg University (a.k.a. aau) that aims at providing a range of core functionalities for outdoor location-based service, indoor locationbased service, and location-based social networks, which facilitates application developers to develop their own, specific locationbased services on top of aSTEP. aSTEP also consolidates many recent research results on spatio-temporal data management and analytics, and serves as a testbed for exploring advanced solutions to a range of challenges related to spatio-temporal data management and analytics, e.g., Mobility-as-a-Service, dataintensive routing. In addition, from education perspectives, every spring semester aSTEP accommodates some 30 to 40 software engineering students' group-based bachelor projects at the Department of Computer Science, Aalborg University.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 19th International Conference on Mobile Data Management, MDM 2018
Number of pages2
Volume2018-June
PublisherIEEE
Publication date13 Jul 2018
Pages278-279
ISBN (Electronic)9781538641330
DOIs
Publication statusPublished - 13 Jul 2018
Event19th IEEE International Conference on Mobile Data Management, MDM 2018 - Aalborg, Denmark
Duration: 25 Jun 201828 Jun 2018

Conference

Conference19th IEEE International Conference on Mobile Data Management, MDM 2018
Country/TerritoryDenmark
CityAalborg
Period25/06/201828/06/2018
SponsorAalborg University, Center for Data-Intensive Systems (DAISY), Aalborg University, IEEE, IEEE Technical Committee on Data Engineering (TCDE), Otto Monsted Foundation

Keywords

  • data analytics
  • data intensive routing
  • spatio temporal data
  • trajectories

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