The ICARUS Aviation Data Sharing and Intelligence framework was presented by Mr. Nikolaos Papagiannopoulos from Athens International Airport (AIA) at the 27th ACRIS Meeting, which was held in London on February 25th-27th, 2020.

1. Co-funded by the European Commission
Horizon 2020 - Grant # 780792
Aviation Data Sharing and Intelligence: How
ACRIS is leveraged in ICARUS?
Nikos Papagiannopoulos
Senior Project Manager - IT&T Business Applications and Technology, Information Technology & Telecommunications,
Athens International Airport
Dr. Fenareti Lampathaki
ICARUS Technical Coordinator, Suite5 Technical Director
Aviation-driven Data Value Chain for Diversified Global and Local Operations
ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation
27th ACRIS Meeting, London, February 25th-27th, 2020
http://www.icarus2020.aero

2. Aviation-driven Data Value Chain for Diversified Global and Local Operations
Horizon 2020 Topic: ICT-14-2016-2017 Big Data PPP: cross-sectorial and cross-lingual
data integration and experimentation
Start Date
01/01/2018
36 Months
Innovation Action
Summary ICARUS Facts
11 Partners
4Demonstrators
5Countries

3. Key Data Challenges within and beyond
the scope of ICARUS
Who owns and controls the data?
How to trust and enforce data sharing contracts on a blockchain instead of traditional
bilateral agreements?
How to promote data standardization among highly fragmented data and actors?
How to facilitate data integration in a flexible manner for business users who lack the
required expertise and resources?
How to generalize algorithms?
How to avoid any bias imposed by the training data?
How to promote interpretability of the AI results?
How to lower the barrier entry for small companies in the aviation value chain?
I. Trusted and Fair Data Sharing
II. Affordable and Cost-efficient Data Linking
III. Insightful and Understandable Data Analytics

4. Aviation Data Value Chain
UAV Operators
Ground Handlers
OEM Manufacturers
Helicopters Operators
Cargo Handling Agents
Air Traffic Control
Aircraft Leasing Companies
Aviation Authorities
UAV Operators
Aviation Data Aggregators
Air Navigation Services
Maintenance, Repair &
Overhaul Providers
Ground Service Equipment
Providers
Concessionaires
& Contractors
Parking Operators
Catering Suppliers
OEM Suppliers
Aviation Data Sharing at Ecosystem Level
1stTier:CoreAviation
Stakeholders
Airports
Airlines
Global Distribution Service
Providers
2ndTier:Extra-Aviation
Stakeholders
AviationDataSharingatGlobalLevel
3rd Tier: Aviation-
related Stakeholders
TravelAgencies&Operators
HealthOrganizations
EnvironmentalInstitutions
Transportation
Organizations
CarRentalCompanies
PrivateSecurity
Companies
PublicAuthorities
Target Users: Data Providers & Data Consumers; Business Users & Data Analysts (without coding)

5. ICARUS in a nutshell
Trusted data sharing for creating, signing and validating smart data contracts in
an immutable manner to acquire aviation-related data,
End-to-end data security allowing to encrypt and check-in data through an on-
premise environment
Advanced access control to regulate access to the private data assets through
declarative authorization policies,
Intuitive data exploration in order to find, understand & explore aviation-
related data,
Effortless data linking that aims at curating, mapping and linking the private
data assets with external data based on a common data model
Secure and private analytics spaces for designing and executing analytics and
“applications” in private sandbox environments, spawn on demand,
4
2 CORE WORKFLOWS1 NOVEL ICARUS ASPECTS
3 ICARUS ECOSYSTEM
CORE PLATFORM
ON-PREMISE
ENVIRONMENT
SECURE & PRIVATE
SPACES
DATA CHECKIN
DATA SEARCH &
ACQUISITION
DATA ANALYTICS
ICARUS DIFFERENTIATING POINTS

6. Aviation Data Standards Landscape
Different aviation-specific data standards are available from international
standardization organizations, e.g.:
– ACRIS (ACI Airport Community Recommended Information Services),
– A-CDM (Airport Collaborative Decision Making Manual),
– AIXM (Aeronautical Information Exchange Model),
– SSIM (Standard Schedules Information Manual),
New standards are often built on top of generic purpose standards, such as
the UN/CEFACT Core Components Technical Specification (also used by ACRIS)
that promotes reusability of generic data structures, Core Components, and
industry-specific data structures, Business Information Entities that build on
Core Components.
Solving the “data standards dilemma” and selecting which standard to follow
when there are data from multiple stakeholders that model different aspects
of the aviation industry (e.g. focusing on the airport perspective, the flight
perspective or the aircraft perspective) is not a straightforward process.
4 March, 2020 27th ACRIS Meeting, London 6

7. ICARUS Common Aviation Data
Model
Built taking into consideration the modelling performed in: ACRIS, A-CDM, SSIM, AIXM,
UN/ CEFACT CCTS
Bringing together different aviation data standards rather than adopting one due to the
diverse ICARUS stakeholders (from different domains within and beyond aviation) and
the need to capture complementary information (such as if there is a need for
encryption or anonymization in the specific column) to facilitate the integration efforts
Currently containing over 620 concepts (that extend to over 5000 concepts taking into
consideration the nested concepts)
13 main entities: Aircraft, Airport, Baggage, Booking, Carrier, Crew, Flight, FlightLeg,
Fuel, Location, Passenger, Product, Weather + 1 complementary entity Provenance
Data (to keep the history of all entities)
Defined in JSON for flexibility purposes in the ICARUS platform since it contains the
following metadata per concept: "definition“, "related_terms“,
"standards", "date_added“, "date_deprecated", "version",
"children“, "facet“ (including "encryption", "multiple",
"ordered", "sensitive“, “measurementType“,
“measurementUnit“, “timezone“)
4 March, 2020 27th ACRIS Meeting, London 7

8. Benefits of Data Mapping to the
ICARUS Aviation Data Model
To address the inherent data standard incompatibility problems
To ensure that datasets that come from diverse stakeholders in the
aviation data value chain are semantically enriched, harmonized and put
to the appropriate context prior to their storage (in an encrypted or
unencrypted format)
To facilitate dataset integration within ICARUS and between ICARUS
datasets & external datasets
To make the data easier discoverable and searchable prior to their
acquisition through the ICARUS data brokerage and sharing mechanisms
To be able to search for data that span over multiple datasets - Note:
feature not yet available in the ICARUS platform
To extract the data in the preferred aviation standard (among the ones
included in the data model) - Note: feature not yet available in the ICARUS
platform
4 March, 2020 27th ACRIS Meeting, London 8

9. How Data Mapping works with the
help of the ICARUS data model?
Based on the sample a data provider has uploaded in the platform, the semi-
automatic mapping (i.e. proposal of the mapping of each column to the ICARUS
aviation data model) is calculated based on fuzzy matching and machine learning
techniques.
The proposed mapping has a certain confidence level depending on whether
there was an exact match with a concept in the ICARUS data model.
The data provider must manually confirm the proposed data mapping (or add it, if
it was not possible to be automatically calculated) and provides the
supplementary information anticipated in the ICARUS data model, e.g. the
measurement unit that which the data currently have (in order for ICARUS to make
the appropriate transformations to the baseline measurement unit of the ICARUS
aviation data model).
The data provider can suggest new concepts to the ICARUS data model that are
moderated by an administrator, if he/she cannot find the concept that their data
column(s) represent.
The administrator takes appropriate action for the data model evolution to
ensure backwards compatibility, to the extent it’s possible.
9
Model Evolution actions: PROP | PROMPT | BLOCK

10. Icarus Platform Demo
4 March, 2020 Periodic Review Meeting, Luxembourg 10

11. ICARUS restricted beta release online from
April 2020! (https://platform.icarus2020.aero)
4 March, 2020 Periodic Review Meeting, Luxembourg 11

12. ICARUS Demonstrators as the alpha
platform users
Airport Capacity Planning
Pollution Data Analysis and Massive Route
Network Analysis
Aviation Related Disease Spreading -
GLEAM
Enhancing Passenger Experience
I II
III IV

13. Athens International Airport (AIA)
4 March, 2020 27th ACRIS Meeting, London 13
• An Airport city (Aerotropolis) hosting more than 370 companies with more than 16.000
employees servicing approx. 100.000 passengers and 800 flights per day during peak
periods.
• Athens International Airport is the largest airport in Greece. Current traffic is about
25,573,993 an annual increase of 6% over 2018. Total ATMs for 2019, 225,628 an annual
increase of 3.9% over 2018.
• Athens International Airport hit its first capacity threshold in 2008. In addition, before
hitting the 25 million passenger volume trigger, the airport constructing an additional
terminal, new gates, as well as improvements to the baggage system.

14. What is the interest of AIA in ICARUS?
1/2
Business Perspective: To improve the Planned Airport’s airside capacity
Using Airport data sources to gather usage data from Runway, Apron, Aircraft
Stands and Gates to enable one to understand current airfield performance
and baseline capacity.
To enable capacity enhancement decisions that are targeted appropriately to
relevant airport resources.
Analysis will include data for: the runway, considering also taxiways, aprons,
gates, terminals & local airspace usage.
Delay (actual or predicted) can be used as a KPI performance indicator that
highlights an imbalance between demand and capacity.
AIA eventually expects to strengthen its win-win collaborations with relevant
aviation stakeholders (i.e. airlines and ground handlers) through the provision
of renovated, or even new data-driven intelligence services as emerging from
its demonstrator results.
4 March, 2020 27th ACRIS Meeting, London 14

15. What is the interest of AIA in ICARUS?
2/2
Technical Perspective: To increase its readiness in the Data era
Acquire know-how in data analytics, augmenting its baseline data analysis that
is already performed in its IT infrastructure with advanced machine learning
and deep learning analytics to improve its operational efficiency.
Further embrace data-related technologies and increase its overall data
readiness in terms of data sharing
increase its data reach in an effortless manner, by finding and exploring
additional data “on-the-go” while performing or trying to improve an analysis.
Reach bilateral data sharing agreements between the airport and its relevant
parties with less effort and in less time, in order to complement its data
availability with different data assets that have been identified and could be
leveraged by the airport in scenarios beyond the airport capacity planning.
Deeper knowledge of aviation data standards like ACRIS
4 March, 2020 27th ACRIS Meeting, London 15

16. Conclusions
The ACRIS initiative holds tremendous potential for airports as it provides
from semantic models to API specifications.
The ICARUS aviation data model has leveraged the ACRIS outcomes and
has created the mappings to its Basic-Associated-Aggregate Business
Information Entities. Such mappings are used under the hood in the
ICARUS platform.
Key learning from ICARUS and AIA so far:
– A data model needs to be always “designed for change” with the purpose of efficiently
managing its whole lifecycle and effectively anticipating its consistent evolution
– Data sharing requires hard efforts and synergies between all parties in the value chain as
they are typically reluctant to expose their data to third party platforms
– Strong Data sharing agreements need to be in place in order to provide assurance to
third parties to share their data
Next steps: to establish liaisons with ACRIS (to ensure that the latest ACRIS
standards are supported in ICARUS).
4 March, 2020 27th ACRIS Meeting, London 16
Access to the ICARUS beta platform to become available to interested users in April 2020!
Are you interested to join? Register to the platform or send us an email to grant you access!

17. Co-funded by the European Commission
Horizon 2020 - Grant # 780792
Thank you for your attention !
Aviation-driven Data Value Chain for Diversified Global and Local Operations
ICT-14-2017: Big Data PPP: cross-sectorial and cross-lingual data integration and experimentation
Nikos Papagiannopoulos (AIA) - Papagiannopn@aia.gr
Dr. Fenareti Lampathaki (Suite5) - fenareti@suite5.eu
27th ACRIS Meeting, London, February 25th-27th, 2020
http://www.icarus2020.aero