Skip to main content

Aviation-driven Data Value Chain for Diversified Global and Local Operations

Deliverables

Architecture, Core Data and Value Added Services Bundles Specifications-v2.00

Formed by T3.1-T3.5. Incremental updated of designs and specifications, based on the feedback received by the project’s development and demonstrator activities.

Architecture, Core Data and Value Added Services Bundles Specifications-v3.00

Formed by T3.1-T3.5. Incremental updated of designs and specifications, based on the feedback received by the project’s development and demonstrator activities.

ICARUS Architecture, APIs Specifications and Technical and User Requirements

Formed by T3.1-T3.3. A first version of the system architecture, including technical and user requirements.

Core Data Service Bundles and Value Added Services Designs

Formed by T3.4,T3.5. Design specifications of the Core Data Service and the Value Added Services Bundles.

Architecture, Core Data and Value Added Services Bundles Specifications-v4.00

Formed by T3.1-T3.5. Incremental updated of designs and specifications, based on the feedback received by the project’s development and demonstrator activities.

Final Report on Dissemination, Communication and Stakeholder Engagement

Formed by T6.1-6.3. Report on the dissemination, communication and stakeholder engagement and standardisation liaison activities performed during the different periods of the project. D6.4 will also include a plan for the 2nd period of the project, while D6.5 activities to undertake right after the end of the project.

Final Evaluation, Impact Assessment and Adoption

Formed by T5.2-T5.6. Final Evaluation report, lessons learnt, and methodological adoption guidelines.

Report on Dissemination and Communication for Period 1 and Updated Plan for Period 2

Formed by T6.1-6.3. Report on the dissemination, communication and stakeholder engagement and standardisation liaison activities performed during the different periods of the project. D6.4 will also include a plan for the 2nd period of the project, while D6.5 activities to undertake right after the end of the project.

Updated ICARUS Methodology and MVP

Formed by T1.1-T1.4. An update from all tasks, suggesting new technology developments, an updated version of the ICARUS methodology and value chain definition and the final version of the platforms MVP.

Updated ICARUS Data Management, Analytics and Data Policy Methods

Formed by T2.1-T2.4. An update of the data handling methods, the core analytics and the final data policy and brokerage framework, based on feedback received during the initial development and piloting phases.

Data Management and Value Enrichment Methods

Formed by T2.1, T2.2. A report including the data handling methods, the updated data schemas, the semantic representations and linked data vocabularies necessary for describing the data that will be on the platform.

The ICARUS Methodology and MVP

Formed by T1.4. The integrated ICARUS integrated methodology, revealing how components and concepts interrelate and displaying high level usage scenarios of the concept, formulating the platform’s MVP that will provide input to the use cases, the architecture and specification tasks in WP2 and Wp3.

Domain Landscape Review and Data Value Chain Definition

Formed by T1.1, T1.2, T1.3. A state-of-play analysis of the big data landscape in terms of tools and methodologies, recognising the ones for inclusion in ICARUS based on initial stakeholder needs. Also, the ICARUS data value chain elaboration, accompanied with the first big set of information/data sources needed.

ICARUS Demonstrators and Platform Evaluation Framework

Formed by T5.1. The ICARUS evaluation framework, data exploitation and value chain validation methodology.

Intuitive Analytics Algorithms and Data Policy Framework

Formed by T2.3, T2.4. A report of the analytics and intelligence extraction algorithms, alongside with the Data Policy and Brokerage Frameworks that power the secure and trustworthy exchange of data and services.

Plan for Dissemination, Communication and Stakeholder Engagement

Formed by T6.1. A detailed plan, constantly updated online, for all dissemination, standardisation liaison and communication activities for the first period of the project (until M18).

Demonstrators Execution Scenarios and Readiness Documentation

Formed by T5.2. Scenarios to run during each demonstrator, including the KPIs indicators and the overall time plan; as well as a fully detailed documentation manual for the operation of the demonstrators

ICARUS Platform - Release 1.00

Formed by T4.1-T4.4. Stable releases of the ICARUS platform and tools, with supporting documentation.

ICARUS Platform - Beta Version

Formed by T4.1-T4.4. A low fidelity beta version of the platform’s backbone with improved features.

ICARUS Platform - Release 2.00

Formed by T4.1-T4.4. Stable releases of the ICARUS platform and tools, with supporting documentation.

ICARUS Platform - Release 1.50

Formed by T4.1-T4.4. Stable releases of the ICARUS platform and tools, with supporting documentation.

Project Data Management Plan

Formed by T6.4. The Data Management Plan detailed which data will be collected and generated during the project and how it will be shared and opened.

Project Website and Web 2.0 Channels Setup

Formed by T6.3. The website and the social media channels to be used during the project for communication.

Publications

The ICARUS Ontology - A general aviation ontology developed using a multi-layer approach

Author(s): Dimosthenis Stefanidis, Chrysovalantis Christodoulou, Moysis Symeonidis, George Pallis, Marios Dikaiakos, Loukas Pouis, Kalia Orphanou, Fenareti Lampathaki, Dimitrios Alexandrou
Published in: Proceedings of the 10th International Conference on Web Intelligence, Mining and Semantics, 2020, Page(s) 21-32
DOI: 10.1145/3405962.3405983

Query-Driven Descriptive Analytics for IoT and Edge Computing

Author(s): Moysis Symeonides, Demetris Trihinas, Zacharias Georgiou, George Pallis, Marios D. Dikaiakos
Published in: 2019

Digital Transformation in Aeronautics through the ICARUS Aviation Data and Intelligence Marketplace

Author(s): Fenareti Lampathaki, Michele Sesana, Dimitrios Alexandrou
Published in: 9th EASN International Conference on Innovation in Aviation and Space, 2019

Designing a Trusted Data Brokerage Framework in the Aviation Domain

Author(s): Fenareti Lampathaki, Dimitrios Alexandrou
Published in: 20th Working Conference on Virtual Enterprises (PRO-VE 2019), Issue Volume 568 of IFIP Advances in Information and Communication Technology, 2019

The ICARUS Ontology: A multi-layer approach of a general aviation ontology

Author(s): Dimosthenis Stephanidis, Lukas Pouis, Kalia Orfanou, Moysis Symeonidis, George Pallis, Marios Dikaiakos, Fenareti Lampathaki, Dimitrios Alexandrou
Published in: 2019

ALIDA: a Novel Micro-service Based Platform for Composition, Deployment and Execution of Big Data Applications

Author(s): Davide Profeta, Nicola Masi, Domenico Messina, Davide Dalle Carbonare, Susanna Bonura, Vito Morreale
Published in: Conference on Software Engineering and Advanced Applications (SEAA 2019), 2019

A Big Data Intelligence Marketplace and Secure Analytics Experimentation Platform for the Aviation Industry

Author(s): Dimitrios Miltiadou, Stamatis Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis
Published in: Big Data Technologies and Applications - 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020, Proceedings, Issue 371, 2021, Page(s) 48-62
DOI: 10.1007/978-3-030-72802-1_4

A Secure Experimentation Sandbox for the Design and Execution of Trusted and Secure Analytics in the Aviation Domain

Author(s): Dimitrios Miltiadou, Stamatis Pitsios, Dimitrios Spyropoulos, Dimitrios Alexandrou, Fenareti Lampathaki, Domenico Messina, Konstantinos Perakis
Published in: Security and Privacy in New Computing Environments - Third EAI International Conference, SPNCE 2020, Lyngby, Denmark, August 6-7, 2020, Proceedings, Issue 344, 2021, Page(s) 120-134
DOI: 10.1007/978-3-030-66922-5_8