CORDIS oferuje możliwość skorzystania z odnośników do publicznie dostępnych publikacji i rezultatów projektów realizowanych w ramach programów ramowych HORYZONT.
Odnośniki do rezultatów i publikacji związanych z poszczególnymi projektami 7PR, a także odnośniki do niektórych konkretnych kategorii wyników, takich jak zbiory danych i oprogramowanie, są dynamicznie pobierane z systemu OpenAIRE .
Rezultaty
A report documenting the plan for the development of the pilots and the methodology and materials for the pilot trials.
Scalability and Robustness Experimental Methodology (odnośnik otworzy się w nowym oknie)A document describing the methodology, the performance criteria, the protocols for the experiments, and the technical infrastructure requirements.
BigDataGrapes Software Stack Design (odnośnik otworzy się w nowym oknie)A report of the overall design of the BigDataGrapes software stack, including functional specifications, communication standards, external tools and underlying frameworks.
Use Cases & Technical Requirements Specification (odnośnik otworzy się w nowym oknie)A report presenting in detail the BigDataGrapes use cases and their interpretation with respect to technical and infrastructural requirements.
Data Management Plan & Support Pack (odnośnik otworzy się w nowym oknie)This deliverable will be a report that will specify how data will be collected, processed, monitored, catalogued, and disseminated during the project lifetime. It will also include a Support Pack with guidelines for the project coordinator and the partners, explaining how they should practically apply the guidelines during their activities, which software tools and services they should use, and how they can align the project requirements with their institutions’ standard practices and systems.
Experimental Report on Projected Datasets (odnośnik otworzy się w nowym oknie)A document with the experimental results after testing the BigDataGrapes components over the two foreseen dataset projections (2020 and 2030).
Evaluation Report and KPI Assessment (odnośnik otworzy się w nowym oknie)A report on the results of the application piloting sessions, inline with the defined experimental protocols and in accordance with the evaluation methodology produced in the context of T8.2.
Annual Public Report (odnośnik otworzy się w nowym oknie)A report summarising the achievements and outcomes of the project for the reporting period, targeted to the general public. It will be made available via the project’s website.
Experimental Report on Current Datasets (odnośnik otworzy się w nowym oknie)A document with the experimental results after the execution of the methodology over the data sets that were contributed to the project by the data partners.
Experimental Protocols and Evaluation Methodology (odnośnik otworzy się w nowym oknie)A report describing the experiments to be conducted and their parameters, along with the methodology for assessing the results of the experiments in accordance with the piloting plan.
Dissemination and Awareness Report (odnośnik otworzy się w nowym oknie)A report documenting the various dissemination, awareness and outreach activities and results for the respective period.
A deployment of the Integrated BigDataGrapes Software Stack in the cloud, providing access and documentation for the APIs of the different components comprising the stack.
Data Ingestion and Integration Components (odnośnik otworzy się w nowym oknie)The software components for carrying out data ingestion in the BigDataGrapes ecosystem, along with their documentation.
Methods and Tools for Distributed Inference (odnośnik otworzy się w nowym oknie)Software assets the implement the distributed inference mechanisms envisioned in the project. They will be accompanied by a report providing details on the adopted methodology and by the documentation of the software.
Resource Optimization Methods and Algorithms (odnośnik otworzy się w nowym oknie)Software assets the implement the novel resource optimization techniques envisioned in the project. They will be accompanied by a report providing details on the adopted methodology and by the documentation of the software.
Data Modelling and Linking Components (odnośnik otworzy się w nowym oknie)A tool for creating, maintaining and linking semantic data, customized to serve the needs of the relevant grapevine-powered industries.
Uncertainty-aware Visual Analytics Components (odnośnik otworzy się w nowym oknie)Software assets the implement the novel uncertainty-aware visual analytics mechanisms envisioned in the project. They will be accompanied by a report providing details on the adopted methodologies and by the documentation of the software.
Linguistic Pipelines for Semantic Enrichment (odnośnik otworzy się w nowym oknie)A set of cooperating components carrying out different NLP tasks in an organized fashion in order to extract knowledge from unstructured text and use the results to semantically annotate relevant BigDataGrapes data.
Distributed Indexing Components (odnośnik otworzy się w nowym oknie)Software assets the implement the novel Big Data indexing mechanisms envisioned in the project. They will be accompanied by a report providing details on the adopted methodology and by the documentation of the software.
Methods and Tools for Predictive Analytics over Extremely Large Datasets (odnośnik otworzy się w nowym oknie)Software assets the implement the novel predictive analytics methods envisioned in the project. They will be accompanied by a report providing details on the adopted methodology and by the documentation of the software.
Analytics & Processing Layer (odnośnik otworzy się w nowym oknie)Software assets the implement the novel distributed processing mechanisms envisioned in the project. They will be accompanied by a report providing details on the adopted methodology and by the documentation of the software.
Interactive Visualization Components (odnośnik otworzy się w nowym oknie)A library of interactive visualisation components adjusted to the handling of Big Data and incorporating interaction and parameterisation techniques. The software will be accompanied by a detailed documentation and a summary of the novel methods implemented within the components.
Trust-aware Decision Support Systems (odnośnik otworzy się w nowym oknie)Decision support component that incorporates the novel trust-aware recommendation components envisioned in the project. They will be accompanied by a report providing details on the adopted methodologies and by the documentation of the software.
A Farm Management System prototype incorporating the appropriate functionalities of the BigDataGrapes software stack, which will be used in the relevant piloting sessions.
Integration and Operation with real-life Practices (odnośnik otworzy się w nowym oknie)A dashboard targeting industry-level decision makers and practitioners that incorporates the appropriate functionalities of the BigDataGrapes software stack, which will be used in the relevant piloting sessions.
Setup and maintenance plan for the project’s web site, social media accounts, blogs, forums, etc.
Publikacje
Autorzy:
Alexiev, Vladimir
Opublikowane w:
Numer 1, 2018
Wydawca:
European Commission
DOI:
10.5281/zenodo.1482757
Autorzy:
Zervas, Panagiotis; Konstantinidis, Sotiris; Koukourikos, Antonis
Opublikowane w:
Numer 1, 2018
Wydawca:
European Commission
DOI:
10.5281/zenodo.1482751
Autorzy:
Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 2057-2060, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401268
Autorzy:
Leopoldo Soares de Melo Junior, Franco Maria Nardini, Chiara Renso, Jose Antonio Fernandes de Macedo
Opublikowane w:
2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA), 2019, Strona(/y) 747-754, ISBN 978-1-7281-4550-1
Wydawca:
IEEE
DOI:
10.1109/icmla.2019.00133
Autorzy:
Leopoldo Melo, Franco Maria Nardini, Chiara Renso, Jose Antonio Macedo
Opublikowane w:
2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI), 2019, Strona(/y) 424-431, ISBN 978-1-7281-3798-8
Wydawca:
IEEE
DOI:
10.1109/ictai.2019.00066
Autorzy:
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 529-538, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401094
Autorzy:
Franco Maria Nardini, Roberto Trani, Rossano Venturini
Opublikowane w:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019, Strona(/y) 815-824, ISBN 9781450361729
Wydawca:
ACM
DOI:
10.1145/3331184.3331227
Autorzy:
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 49-58, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401093
Autorzy:
Simon Gog, Giulio Ermanno Pibiri, Rossano Venturini
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 2271-2280, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401432
Autorzy:
Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Salvatore Trani
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 2033-2036, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401256
Autorzy:
Lucchese, Claudio; Nardini, Franco Maria; Perego, Raffaele; Trani, Roberto; Venturini, Rossano
Opublikowane w:
Numer 24, 2018, ISBN 978-1-4503-6014-2
Wydawca:
Association for Computing Machinery (ACM)
DOI:
10.5281/zenodo.2668248
Autorzy:
Catena, Matteo; Frieder, Ophir; Tonellotto, Nicola
Opublikowane w:
Numer 25, 2018, ISBN 978-1-4503-6014-2
Wydawca:
Association for Computing Machinery (ACM)
DOI:
10.5281/zenodo.2710863
Autorzy:
Claudio Lucchese, Franco Maria Nardini, Raffaele Perego, Salvatore Orlando, Salvatore Trani
Opublikowane w:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval - SIGIR '18, 2018, Strona(/y) 155-164, ISBN 9781-450356572
Wydawca:
Association for Computing Machinery (ACM )
DOI:
10.1145/3209978.3210048
Autorzy:
Bacco, Manlio; Catena, Matteo; de Cola, Tomaso; Gotta, Alberto; Tonellotto, Nicola
Opublikowane w:
Numer 2, 2018, ISBN 978-1-5386-4727-1
Wydawca:
IEEE
DOI:
10.5281/zenodo.2705727
Autorzy:
Verbert, Katrien; Gutiérrez, Francisco; Htun, Nyi-Nyi
Opublikowane w:
Numer 7, 2018, Strona(/y) 339-345, ISBN 978-1-4503-5941-2
Wydawca:
ACM Transactions on Information Systems
DOI:
10.5281/zenodo.3267211
Autorzy:
Matteo Catena, Nicola Tonellotto
Opublikowane w:
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019, Strona(/y) 937-940, ISBN 9781450361729
Wydawca:
ACM
DOI:
10.1145/3331184.3331297
Autorzy:
Sean MacAvaney, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Nazli Goharian, Ophir Frieder
Opublikowane w:
Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2020, Strona(/y) 1573-1576, ISBN 9781450380164
Wydawca:
ACM
DOI:
10.1145/3397271.3401262
Autorzy:
Giulio Ermanno Pibiri, Rossano Venturini
Opublikowane w:
Software: Practice and Experience, 2020, ISSN 0038-0644
Wydawca:
John Wiley & Sons Inc.
DOI:
10.1002/spe.2918
Autorzy:
Giulio Ermanno Pibiri, Rossano Venturini
Opublikowane w:
IEEE Transactions on Knowledge and Data Engineering, 2019, Strona(/y) 1-1, ISSN 1041-4347
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tkde.2019.2911288
Autorzy:
Giulio Ermanno Pibiri, Raffaele Perego, Rossano Venturini
Opublikowane w:
IEEE Transactions on Knowledge and Data Engineering, 2020, Strona(/y) 1-1, ISSN 1041-4347
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tkde.2020.2966609
Autorzy:
Giulio Ermanno Pibiri, Rossano Venturini
Opublikowane w:
ACM Computing Surveys, Numer 53/6, 2021, Strona(/y) 1-36, ISSN 0360-0300
Wydawca:
Association for Computing Machinary, Inc.
DOI:
10.1145/3415148
Autorzy:
Lucchese, Claudio; Nardini, Franco Maria; Orlando, Salvatore; Perego, Raffaele; Silvestri, Fabrizio; Trani, Salvatore
Opublikowane w:
ACM Transactions on Intelligent Systems and Technology (TIST), Numer 8, 2018, ISSN 2157-6904
Wydawca:
Association for Computing Machinery (ACM)
DOI:
10.5281/zenodo.2668361
Autorzy:
Francesco Lettich, Claudio Lucchese, Franco Maria Nardini, Salvatore Orlando, Raffaele Perego, Nicola Tonellotto, Rossano Venturini
Opublikowane w:
IEEE Transactions on Parallel and Distributed Systems, 2018, Strona(/y) 1-1, ISSN 1045-9219
Wydawca:
Institute of Electrical and Electronics Engineers
DOI:
10.1109/tpds.2018.2860982
Autorzy:
Gutiérrez, Francisco; Verbert, Katrien; Seipp, Karsten; Ochoa, Xavier
Opublikowane w:
Journal of Computer Languages, Numer 19, 2018, ISSN 2590-1184
Wydawca:
ELSEVIER
DOI:
10.5281/zenodo.3258001
Autorzy:
Ermanno Pibiri, Giulio; Venturini, Rossano
Opublikowane w:
ACM Transactions on Information Systems, Numer 25, 2019, ISSN 1046-8188
Wydawca:
Association for Computing Machinary, Inc.
DOI:
10.5281/zenodo.3257995
Autorzy:
Gutiérrez, Francisco; Htun, Nyi-Nyi; Schlenz, Florian; Kasimati, Aikaterini; Verbert, Katrien
Opublikowane w:
Computers and Electronics in Agriculture, Numer 15, 2019, ISSN 0168-1699
Wydawca:
Elsevier BV
DOI:
10.5281/zenodo.3267196
Autorzy:
Tonellotto, Nicola; Macdonald, Craig; Ounis, Iadh
Opublikowane w:
Foundations and Trends® in Information Retrieval, Numer 37, 2018, Strona(/y) 319-500, ISSN 1554-0677
Wydawca:
NOW
DOI:
10.5281/zenodo.3268359
Autorzy:
Lorenzo Beretta, Franco Maria Nardini, Roberto Trani, Rossano Venturini
Opublikowane w:
String Processing and Information Retrieval - 26th International Symposium, SPIRE 2019, Segovia, Spain, October 7–9, 2019, Proceedings, Numer 11811, 2019, Strona(/y) 267-273, ISBN 978-3-030-32685-2
Wydawca:
Springer International Publishing
DOI:
10.1007/978-3-030-32686-9_19
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