Deliverables
This deliverable presents the quality assurance and risk management plan.
Delivers a report detailing the specifications of the ice mapping service and the data to be used.
Provides design, integration and validation guidelines for developers and data scientists using the Hops data platform. Describes how to integrate applications and deep learning workflows in the Hops data platform. This deliverable will also include the new frameworks to support end-to-end deep learning workflows in Hops, with data preparation, experimentation, training, validation, and serving.
This deliverable presents the first report on dissemination and communication activities.
Delivers a report detailing the specifications of the Food Security service and the data to be used.
Presents the dissemination material and prepares the relevant infrastructure.
Designs and implements the semantic catalogue of the platform.
This deliverable presents the plan for dissemination and communication activities
This is the final deliverable for the Hops data platform. It provides design, integration and validation guidelines for developers and data scientists using the Hops data platform. Describes how to integrate applications and deep learning workflows in the Hops data platform. This deliverable will also include the new frameworks to support end-to-end deep learning workflows in Hops, with data preparation, experimentation, training, validation, and serving.
Provides the global platform design (services, APIs), and defines the resources provisioning plan addressing the partner needs, together with the related operational scenarios. Together wtih D1.6, this deliverable will include new versions of the Hops Data platform with support for the features defined in Task 1.1, including erasure-coded replication, support for lower-resolution satellite image files in the metadata layer.
This deliverable presents the first version of the research data management plan.
This deliverable will deliver the large training database to be used to train the deep architectures for both use cases.
Delivers the first version of the Polar use case running on the Polar TEP and DIAS.
Implements the platform functionality required for the integration of WP2 and WP3 components and the development of the use cases.
Delivers the first version of the distributed implementation of Strabon and its evaluation.
Delivers the new version of GeoTriples implemented on top of Hops and its evaluation.
Delivers the new version of JedAI and its evaluation on big geospatial RDF sources.
Delivers the new version of the federation engine SemaGrow and its evaluation.
Searching for OpenAIRE data...
Publications
Author(s): C. O. Dumitru, V. Andrei, G. Schwarz, M. Datcu
Published in: ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Issue XLII-2/W16, 2019, Page(s) 83-89, ISSN 2194-9034
DOI: 10.5194/isprs-archives-XLII-2-W16-83-2019
Author(s): George Papadakis, Leonidas Tsekouras, Emmanouil Thanos, George Giannakopoulos, Themis Palpanas, Manolis Koubarakis
Published in: ACM SIGMOD Record, Issue 48/4, 2020, Page(s) 30-36, ISSN 0163-5808
DOI: 10.1145/3385658.3385664
Author(s): George Papadakis; George Mandilaras; Luca Gagliardelli; Giovanni Simonini; Emmanouil Thanos; George Giannakopoulos; Sonia Bergamaschi; Themis Palpanas; Manolis Koubarakis
Published in: Information Systems, Issue 2, 2020, ISSN 0306-4379
DOI: 10.5281/zenodo.3941653
Author(s): George Papadakis; Dimitrios Skoutas; Emmanouil Thanos; Themis Palpanas
Published in: ACM Computing Surveys, Issue 7, 2020, ISSN 0360-0300
DOI: 10.5281/zenodo.3941563
Author(s): Moritz Meister; Sina Sheikholeslami; Robin Andersson; Alexandru A. Ormenisan; Jim Dowling
Published in: Issue 3, 2020
DOI: 10.5281/zenodo.3941640
Author(s): Dumitru Octavian; Schwarz Gottfried; Eltoft Torbjørn; Kræmer Thomas; Wagner Penelope; Hughes Nick; Arthus David; Fleming Andrew; Koubarakis Manolis; Datcu Mihai
Published in: Issue 2, 2019
DOI: 10.5281/zenodo.3941573
Author(s): George Papadakis; Ekaterini Ioannou; Themis Palpanas
Published in: Issue 1, 2020
DOI: 10.5441/002/edbt.2020.85
Author(s): Alexandru A. Ormenisan; Mahmoud Ismail; Seif Haridi; Jim Dowling
Published in: Issue 2, 2020
DOI: 10.5281/zenodo.3941628
Author(s): Manolis Koubarakis; Konstantina Bereta; Dimitris Bilidas; Konstantinos Giannousis; Theofilos Ioannidis; Despina-Athanasia Pantazi; George Stamoulis; Seif Haridi; Vladimir Vlassov; Lorenzo Bruzzone; Claudia Paris; Torbjørn Eltoft; Thomas Krämer; Angelos Charalabidis; Vangelis Karkaletsis; Stasinos Konstantopoulos; Jim Dowling; Theofilos Kakantousis; Mihai Datcu; Corneliu Octavian Dumitru; Florian
Published in: Issue 2, 2019
DOI: 10.5441/002/edbt.2019.88
Author(s): George Mandilaras; Despina-Athanasia Pantazi; Manolis Koubarakis; Nick Hughes; Alistair Everett; Ashild Kiærbech
Published in: Issue 3, 2020
DOI: 10.5281/zenodo.3941661
Author(s): George Papadakis; Leonidas Tsekouras; Manos Thanos; Nikiforos Pittaras; Giovanni Simonini; Dimitrios Skoutas; Paul Isaris; George Giannakopoulos; Themis Palpanas; Manolis Koubarakis
Published in: Issue 2, 2020
DOI: 10.5441/002/edbt.2020.74
Author(s): Vlad Andrei; Octavian Dumitru; Mihai Datcu
Published in: Issue 2, 2019
DOI: 10.5281/zenodo.3944444
Author(s): C.O. Dumitru, G. Schwarz, G. Dax, V. Andrei, D. Ao, and M. Datcu
Published in: Active and Machine Learning for Earth Observation Image Analysis with Traditional and Innovative Approaches, 2020, Page(s) 207-231
DOI: 10.1007/978-3-030-43981-1