A general methodology for building multiple aspect trajectories-Reference-Cited by-同舟云学术

A general methodology for building multiple aspect trajectories

Published:2023-03-27 Issue: Volume: Page:
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Container-title:Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
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Author:

Lettich Francesco¹^ORCID,Pugliese Chiara¹^ORCID,Renso Chiara¹^ORCID,Pinelli Fabio²^ORCID

Affiliation:

1. ISTI CNR, Pisa, Italy

2. IMT Lucca, Lucca, Italy

Funder

MASTER

SoBigdata++

MOBIDATALAB

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3555776.3577832

Reference6 articles.

1. L. Ehrlinger and W. Wöß . Towards a definition of knowledge graphs . In Joint Proceedings of the Posters and Demos Track of SEMANTiCS2016 and SuCCESS'16 , volume 1695 of CEUR Workshop Proceedings. CEUR-WS.org , 2016 . L. Ehrlinger and W. Wöß. Towards a definition of knowledge graphs. In Joint Proceedings of the Posters and Demos Track of SEMANTiCS2016 and SuCCESS'16, volume 1695 of CEUR Workshop Proceedings. CEUR-WS.org, 2016.

2. From GPS to semantic data: how and why—a framework for enriching smartphone trajectories

3. Master: A multiple aspect view on trajectories;Mello R. d. S.;Transactions in GIS,2019

4. FrameSTEP: A framework for annotating semantic trajectories based on episodes

5. MAT-Builder: a System to Build Semantically Enriched Trajectories

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