Deliverables
Ready to download
Dissemination Level
Public
Authors
Petar Kochovski, Ilias Gerostathopoulos, Keerthiga Rajenthiram, Eleni Zarogianni, Tomas Bures, Petr Hnetynka, Andrews Cordolino Sobral, Marcela Tuler de Olivera, Orestis Almpanoudis, Yiannis Verginadis and Dimitris Apostolou.
Abstract
This deliverable documents the intermediate status of the core ExtremeXP framework services responsible for designing, configuring, and deploying experimentation workflows. Moreover, it describes the current status of the secure and distributed management of datasets and knowledge pertaining the experimentation-based workflows, as well as the data authorisation mechanism supporting the ExtremeXP framework. The deliverable includes links to the software code and libraries that implement the aforementioned services. It also documents their implementation and provides usage Information.
Keywords
Experiment Planning, Experiment Execution, Knowledge Management, Access Control.
Dissemination Level
Public
Authors
Maxime Compastié
Abstract
To demonstrate the advancements of the experiment-driven analytics paradigm, the ExtremeXP project features five different use cases tackling five different application domains: (i) crisis-management, (ii) cybersecurity, (iii) public safety, (iv) transportation and (v) manufacturing. This deliverable elicits, analyses, and consolidates the different requirements framing the preparation of use case pilots and defines their technical design. For each use case, this deliverable will cover aspects pertaining to the selection of adequate datasets, domain modelling, variability points identification, the specification of experiment models, the elicitation of user intents, and the determination of the technical settings for evaluation.
Keywords
Requirements Elicitations, Use Case, Pilot Architecture, Validation Environment, Experiment Modelling.
Document in progress...
Dissemination Level
Sensitive
Authors
George Papastefanatos, Giorgos Giannopoulos, Stavros Maroulis, Thanassis Mantes, Vlado Stankovski, Petar Kochovski, Rihan Hai, Erik G. Nilsson, Amela Karahasanovic, Ilias Gerostathopoulos, Eleni Zarogianni, Hiba Alili and Iyad Alshabani
Abstract
ExtremeXP proposes an experimentation-driven analytics framework, that it puts the end user at the center of complex analytics processes from data discovery to novel interactions, proposing a human-in-the-loop, experimentation approach for gaining knowledge and making decisions from data with varying and extreme characteristics. This deliverable summarizes the scope and the main targets of the project and prescribes the guidelines and processes towards achieving them. These include communication and collaboration protocols, quality assurance processes, risk mitigation strategies, and ethics guidelines.
Keywords
Project scope, Objectives, Work packages, Tasks, Communication and Collaboration, KPIs, Risk mitigation, Ethics.
Dissemination Level
Sensitive
Authors
George Papastefanatos, Giorgos Giannopoulos, Stavros Maroulis, Thanassis Mantes, Yasmine Boulfani, Jacques Coves, Sonu Preetam, Maxime Compastié, Sergi Sales, Laureant Drouglazet, Alain Dubois, Athina Tsirimpa, Konstantinos Mavromatis, Borja Tornos and Gorka Gutierrez Eizaguirre
Abstract
The purpose of Deliverable D1.3: Data Management Plan is to describe the data management life cycle for the data to be collected, processed and/or generated by the ExtremeXP project. In more detail, the report lays out the ExtremeXP Data management to elaborate; presents an overview of the datasets used by the use cases of the project; specifies FAIRness both for the use case data to and for the methods, tools and data produced by ExtremeXP; lists the data management activities to consider; and it introduces all the necessary principles to comply with GDPR EU Data Act.
Keywords
Data Management Plan, Use Cases, Fairness, Allocation of resources, Data Security, Ethics.
Dissemination Level
Public
Authors
Orestis Almpanoudis, Iyad Alshabani, Tomas Bures, Petr Hnetynka, Ilias Gerostathopoulos, Elyas Khorasani, Petar Kochovski, Marcela Tuler de Oliveira, Vlado Stankovski, Kristina Veljković, and Yiannis Verginadis
Abstract
This deliverable presents the modelling language and the initial design of the architecture of the ExtremeXP framework. It first presents the main concepts and the overall approach towards a next-generation experimentation framework. It introduces a novel meta-model describing the experimentation process for optimizing complex analytics as well as a probabilistic approach, which complements the meta-model, by providing assurances, options ranking, and verification of ExtremeXP configurations. It then provides the foundations for the trustworthiness and traceability layer and final presents the initial software architecture of the ExtremeXP framework.
Keywords
Experiments, workflows, user-in-the-loop, fit-for-purpose, meta-models, stochastic processes, access-control, blockchain, architecture of experimentation framework.
Dissemination Level
Public
Authors
Rihan Hai, Danning Zhan, Hamid Bouchachia, Albert Calvo Ibanez, Konstantinos Alexis, Nikolas Stamatopoulos, Vassilis Stamatopoulos, Giorgos Alexiou, Santiago Escuder Folch, Giorgos Giannopoulos and George Papastefanatos
Abstract
D3.1 presents our progress on developing the complex analytics methods for the ExtremeXP framework, focusing on methods for dataset selection, data integration and data augmentation. This progress comprises novel research methods, code libraries and respective publications.
Keywords
Data selection, data integration, data augmentation, complex analytics.
Dissemination Level
Public
Authors
Petar Kochovski, Ilias Gerostathopoulos, Keerthiga Rajenthiram, Eleni Zarogianni, Tomas Bures, Petr Hnetynka, Andrews Cordolino Sobral, Marcela Tuler de Olivera, Orestis Almpanoudis, Yiannis Verginadis and Dimitris Apostolou.
Abstract
This deliverable documents the intermediate status of the core ExtremeXP framework services responsible for designing, configuring, and deploying experimentation workflows. Moreover, it describes the current status of the secure and distributed management of datasets and knowledge pertaining the experimentation-based workflows, as well as the data authorisation mechanism supporting the ExtremeXP framework. The deliverable includes links to the software code and libraries that implement the aforementioned services. It also documents their implementation and provides usage Information.
Keywords
Experiment Planning, Experiment Execution, Knowledge Management, Access Control.
Dissemination Level
Public
Authors
Maxime Compastié
Abstract
To demonstrate the advancements of the experiment-driven analytics paradigm, the ExtremeXP project features five different use cases tackling five different application domains: (i) crisis-management, (ii) cybersecurity, (iii) public safety, (iv) transportation and (v) manufacturing. This deliverable elicits, analyses, and consolidates the different requirements framing the preparation of use case pilots and defines their technical design. For each use case, this deliverable will cover aspects pertaining to the selection of adequate datasets, domain modelling, variability points identification, the specification of experiment models, the elicitation of user intents, and the determination of the technical settings for evaluation.
Keywords
Requirements Elicitations, Use Case, Pilot Architecture, Validation Environment, Experiment Modelling.