From Big Data to Big Information and Big Knowledge - the Case of Earth Observation Data

© 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.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.EC/H2020/759764/EU/Accurate and Scalable Processing of Big Data in Earth Observation/BigEarthEC/H2020/730124/EU/Stimulating wider uptake of Copernicus Services by making them available as linked open data/Copernicus App La