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Main Title: From Big Data to Big Information and Big Knowledge - the Case of Earth Observation Data
Author(s): Bereta, Konstantina
Manolis, Koubarakis
Manegold, Stefan
Stamoulis, George
Demir, Begüm
Type: Conference Object
Language Code: en
Abstract: The tutorial is aimed at database, information retrieval and knowledge management researchers who would like to understand the state of the art and open problems in data science pipelines for EO data and linked geospatial data, and practitioners who would like to develop applications using existing tools. The tutorial assumes familiarity with RDF, SPARQL and geospatial data.
Issue Date: 2018
Date Available: 21-Nov-2019
DDC Class: 004 Datenverarbeitung; Informatik
Subject(s): semantic web
linked geo spatial data
Earth observation data
Copernicus program
Sponsor/Funder: EC/H2020/759764/EU/Accurate and Scalable Processing of Big Data in Earth Observation Fact Sheet/BigEarth
EC/H2020/730124/EU/Stimulating wider uptake of Copernicus Services by making them available as linked open data/Copernicus App Lab
Proceedings Title: Proceedings of the 27th ACM International Conference on Information and Knowledge Management
Publisher: Association for Computing Machinery (ACM)
Publisher Place: New York, NY
Publisher DOI: 10.1145/3269206.3274270
Page Start: 2293
Page End: 2294
ISBN: 978-1-4503-6014-2
Notes: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Appears in Collections:FG Remote Sensing Image Analysis Group » Publications

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