loading
Documents

Research.Publish.Connect.

Paper

Authors: George Kakaletris 1 ; Panagiota Koltsida 2 ; Manos Kouvarakis 1 and Konstantinos Apostolopoulos 1

Affiliations: 1 Communications & Information Technologies Experts S.A., Greece ; 2 University of Athens, Greece

ISBN: 978-989-758-294-3

Keyword(s): Query Language, Array Databases, Coverages, Metadata.

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 b uilds 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. (More)

PDF ImageFull Text

Download
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 54.225.59.14

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:
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

@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},
}

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

Login or register to post comments.

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