This document provides an overview of the thematic analytic services which are developed as end-to-end data analytics workflows validating the use cases outlined in D1.1 “Use Case scenarios v1” and D1.2 “Use Case scenarios v2”. The purpose of the workflows here described is to provide scientifically sound scenarios to validate the technologies developed in the EO4wildlife project.
D3.6 provides an overview of the data analytics services which were reviewed during the second iteration of the document, and it describes the plan followed for their development and deployment within the platform developed in WP2. The services are here defined with their interface and functionalities.
This document is restricted to EO4wildlife Consortium. To know more about the deliverable, please place a request in the ‘Contact Us’ section. We reserve the right to decide how much we can disclose.
This document describes the overall aims and objective of using semantic services in support of the data mining and fusion analytics and it provides an overview of the architecture of semantic services to support these aims.
This is the second version of deliverable D3.3 Big Data Connectors and Catalogue Service v1 which was released in November 2017.
D3.7 document provides an overview of the thematic analytic services which are developed as end to end data analytics workflows validating the use cases previously outlined in the EO4wildlife project.
This document is restricted to EO4wildlife Consortium. To know more about the deliverable, please place a request in the ‘Contact Us’ section. We reserve the right to decide how much we can disclose.
D3.5 provides an overview of the data analytics services included in this first iteration and it provides a plan for their development and deployment within the platform developed in WP2. The services are here defined with their interface and functionalities.
This document is restricted to EO4wildlife Consortium. To know more about the deliverable, please place a request in the ‘Contact Us’ section. We reserve the right to decide how much we can disclose.
This document provides the description of data federation facilities for organising and accessing large distributed datasets (e.g. ARGOS datasets and Sentinel datasets) in order to serve high-level exploratory and predictive analytics.
D3.1 describes the overall aims and objective of using semantic services in support of the data mining and fusion analytics and it provides an overview of the architecture of semantic services to support these aims.
