Spatiotemporal Data-Cube Retrieval and Processing with xWCPS

George Kakaletris, Panagiota Koltsida, Manos Kouvarakis, Konstantinos Apostolopoulos

2018

Abstract

Management and processing of big data is inherently interweaved with the exploitation of their metadata, also "big" on their own, not only due to the increased number of datasets that get generated with continuously increased rates, but also due to the need for deeper and wider description of those data, which yields metadata of higher complexity and volume. Taking into account that generally data cannot be processed unless enough description is provided on their structure, origin, etc, accessing those metadata becomes crucial not only for locating the appropriate data but also for consuming them. The instruments to access those metadata shall be tolerant to their heterogeneity and loose structure. In this direction, xWCPS (XPath-enabled WCPS) is a novel query language that targets the spatiotemporal data cubes domain and tries to bring together metadata and multidimensional data processing under a single syntax paradigm limiting the need of using different tools to achieve this. It builds on the domain-established WCPS protocol and the widely adopted XPath language and yields new facilities to spatiotemporal datacubes analytics. Currently in its 2nd release, xWCPS, represents a major revision over its predecessor aiming to deliver improved, clearer, syntax and to ease implementation by its adopters.

Paper Citation

in Harvard Style

Kakaletris G., Koltsida P., Kouvarakis M. and Apostolopoulos K. (2018). Spatiotemporal Data-Cube Retrieval and Processing with xWCPS.In Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-294-3, pages 148-156. DOI: 10.5220/0006814601480156

in Bibtex Style

@conference{gistam18,
author={George Kakaletris and Panagiota Koltsida and Manos Kouvarakis and Konstantinos Apostolopoulos},
title={Spatiotemporal Data-Cube Retrieval and Processing with xWCPS},
booktitle={Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2018},
pages={148-156},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006814601480156},
isbn={978-989-758-294-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - Spatiotemporal Data-Cube Retrieval and Processing with xWCPS
SN - 978-989-758-294-3
AU - Kakaletris G.
AU - Koltsida P.
AU - Kouvarakis M.
AU - Apostolopoulos K.
PY - 2018
SP - 148
EP - 156
DO - 10.5220/0006814601480156