Design and Implementation of Falling Star - A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores

Ibtisam Ferrahi, Sandro Bimonte, Myoung-Ah Kang, Kamel Boukhalfa

2017

Abstract

In the era of Spatial Big Data, some NoSQL spatial DBMSs have been developed to deal with the Spatiality, Velocity, Variety, and Volume of Spatial Big Data. In this context, some works recently study NoSQL logical Data Warehouse (DW) models. However, these proposals do not investigate storing and querying spatial data. Therefore, in this paper we propose a new logical model for document Spatial DWs. Moreover, motivated by the expressivity, readability and interoperability offered by UML profile, we represent our model using a UML profile. Finally, we present an implementation in document Spatial DBMSs

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Paper Citation


in Harvard Style

Ferrahi I., Bimonte S., Kang M. and Boukhalfa K. (2017). Design and Implementation of Falling Star - A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores . In Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-247-9, pages 343-350. DOI: 10.5220/0006353803430350


in Bibtex Style

@conference{iceis17,
author={Ibtisam Ferrahi and Sandro Bimonte and Myoung-Ah Kang and Kamel Boukhalfa},
title={Design and Implementation of Falling Star - A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores},
booktitle={Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2017},
pages={343-350},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006353803430350},
isbn={978-989-758-247-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 19th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Design and Implementation of Falling Star - A Non-Redudant Spatio-Multidimensional Logical Model for Document Stores
SN - 978-989-758-247-9
AU - Ferrahi I.
AU - Bimonte S.
AU - Kang M.
AU - Boukhalfa K.
PY - 2017
SP - 343
EP - 350
DO - 10.5220/0006353803430350