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

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Aviation Data Mapping

ICARUS Data Management: Mapping Challenges

May 27, 2021August 19, 2021

In ICARUS, data mapping refers to the process of identifying the equivalent concept in the ICARUS common aviation data model […]

Blog, perspectives aviation data management, aviation data model, data mapping

ICARUS Aviation Data Model

January 22, 2020September 15, 2020

Today, lack of global standardization through globally agreed semantic aviation models and common aviation schemas that address the needs of […]

Blog, perspectives a-cdm, acris, aixm, aviation data model, ccts, ICARUS aviation ontology, ICARUS data model, NASA ATM ontology, ssim

Recent Posts

  • ICARUS Experience and Benefits for ISI
  • ICARUS Experience and Benefits for AIA
  • Market Opportunities and Positioning for the ICARUS Platform
  • Lessons Learnt and Adoption Guidelines based on the ICARUS Platform’s Experiences
  • Aviation’s Data Revolution: Flexing and Bending in A Pandemic

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About

ICARUS aims to deliver a novel framework and architecture that leverages data, primary or secondarily related to the aviation industry, to help companies and organisations whose operations are directly or indirectly linked to aviation (e.g. airports, airlines, IT aviation companies, aircraft equipment industries, extra-aviation service providers, tourist agencies, health and epidemics monitoring agencies, etc.) to simultaneously enhance their data reach, as well as to share / trade their existing data sources and intelligence, in order to gain better insights into airplanes’, airports’ and passengers’ quantified selves and contribute to improving their operations and increasing passengers’ safety and satisfaction.

Contact us

management@icarus2020.aero
Project Coordinator: Dr. Dimitris Alexandrou (UBITECH)
Technical Coordinator: Dr. Fenareti Lampathaki (Suite5)

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EU flag The ICARUS project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 780792.

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