loading
Papers

Research.Publish.Connect.

Paper

Authors: Patrick Wiener 1 ; Viliam Simko 2 and Jens Nimis 1

Affiliations: 1 Karlsruhe University of Applied Sciences, Germany ; 2 FZI Research Center for Information Technology, Germany

ISBN: 978-989-758-252-3

Keyword(s): Big Data, Geographic Information Systems, Software Architectures, Software Design Patterns, Data Pipelines.

Abstract: In the era of spatio-temporal big data, geographic information systems have to deal with a myriad of big data induced challenges such as scalability, flexibility or fault-tolerance. Furthermore, the rapid evolution of the underlying, occasionally competing big data ecosystems inevitably needs to be taken into account from the early system design phase. In order to generate valuable knowledge from spatio-temporal big data, a holistic approach manifested in an appropriate architectural design is necessary, which is a non-trivial task with regards to the tremendous design space. Therefore, we present the conceptual architectural framework of BigGIS, a predictive and prescriptive spatio-temporal analytics platform, that integrates big data analytics, semantic web technologies and visual analytics methodologies in our continuous refinement model.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.239.160.113

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Wiener, P.; Simko, V. and Nimis, J. (2017). Taming the Evolution of Big Data and its Technologies in BigGIS - A Conceptual Architectural Framework for Spatio-Temporal Analytics at Scale.In Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-252-3, pages 90-101. DOI: 10.5220/0006334200900101

@conference{gistam17,
author={Patrick Wiener. and Viliam Simko. and Jens Nimis.},
title={Taming the Evolution of Big Data and its Technologies in BigGIS - A Conceptual Architectural Framework for Spatio-Temporal Analytics at Scale},
booktitle={Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2017},
pages={90-101},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006334200900101},
isbn={978-989-758-252-3},
}

TY - CONF

JO - Proceedings of the 3rd International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Taming the Evolution of Big Data and its Technologies in BigGIS - A Conceptual Architectural Framework for Spatio-Temporal Analytics at Scale
SN - 978-989-758-252-3
AU - Wiener, P.
AU - Simko, V.
AU - Nimis, J.
PY - 2017
SP - 90
EP - 101
DO - 10.5220/0006334200900101

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.