This document describes application of the Airport community knowledge, implemented as a knowledge graph to solve Aviation community data quality issues, enable agile business intelligence solution development at low costs and enable planning for new digital solutions based on cognitive computing technologies.

1. Segun Alayande
ACI ACRIS Semantic Model.
Airport Ecosystem Knowledge Representation
21st ACI ACRIS Working Group Meeting. Geneva
21st - 23rd March 2017

2. Overview
• Airport Objectives for Knowledge Management
• Airport Knowledge Management and Business Performance
• The ACI ACRIS Semantic Model, Structure and Development Process
• Use of the ACI ACRIS Semantic Model at Heathrow
• Key Benefits of the ACRIS Semantic Model
• Key Activities in 2017

3. Airport objectives for knowledge management
Enable the design and provision of
custom services tailored to customer
segments
Enable the reduction in missing bags and
improvement of baggage system resilience
Enable the operation of a sustainable
Airport
Enable improvements in Aircraft
turnaround performance

4. Airports and Collaboration Partners want a 360 degree view
of business operations through an integrated Airport
Operations Control Centre (APOC)
To support Heathrow APOC, we are actively involved in the following community initiatives
• We developed the ACI ACRIS Semantic Model
• We contributed to the EUROCARE A-CDM Community Specifications.
• The SESAR APOC initiative and the Total Airport Management (TAM).
• We contributed to the ICAO Flight Exchange Information Model (FIXM)
• We contributed to the IATA PADIS Airline Industry Data Model (AIDM)

5. Airports want to predict future technologies that may disrupt
existing business models for business growth
Airport knowledge when digitised enables the following future technologies:
• Artificial Intelligence and Cognitive computing
• Virtual Reality
• Intelligent Internet of Everything

6. Efficient Airport & Technology Management requires that
Airport knowledge is organised as “stories” – Rudyard Kipling’s
5W & 1H
Airport Knowledge
A CIOs strategy for
rethinking
“Messy BI”.
PwC
Technology
Forecast
magazine.
2009.
Know-What
• Bags.
• ULDs.
• Terminal
Buildings
Know-Where
• Baggage Reclaim Area
Know-When
• Operating Times
Know- How
• Checkin
• Security
Know-Why
• Plans
• Contracts
• Policies
Know-Who
• Passengers.
• Airlines.
• Airports
Airport Knowledge

7. Who is developing commercial knowledge models?
Microsoft Satori & LinkedIn Economic Graph
Google Graph
Facebook
Entity
Graph
Yahoo Knowledge Graph

8. ACI ACRIS Semantic Model is the formal representation of
business knowledge required by Airport Management
ACRISSemanticModel Airport Language
Airport Knowledge
Airport Data
Element Standards
Technology
Realisations

9. Key Requirements for the ACI ACRIS Semantic Model
1. Must handle structured and unstructured data for video, text and speech analytics.
2. Must integrate business knowledge across Aviation and non-Aviation domains.

10. Approach to semantic modelling
Upper
Ontology
AIDX AIRM AIDM
Top down
Bottom
upAODB
Data Exchange Schema
Motivators EntitiesMoments
Agreements
Database Schema Documents
Controls Plans CasesEventsInteractions
Motivation
1. IBM Information Framework (IFW).
2. USAF Organisation Domain Modelling.
3. Australian Govt. Information Architecture
Parties Places Resources Offerings

11. ACRIS Semantic Model development process
Term Extraction
& Glossary
Development
Knowledge
Representation
Data Element
Names
Standards
Development
Technology
Realisation
• Business documents, Natural
Language Processing (NLP).
• Existing implementation
Schema.
• Enterprise Domain
Modelling (ODM).
• Faceted Classification.
• OMG UML for Notation.
• OMG SVBR for fact
statements.
• Object Modelling &
Design (Peter Coad).
• XML Schema Design
Modelling
(UN/CEFACT).
• Relational Data
Modelling (IE/ERD)
ISO 11179
Parts 4 & 5

12. How do we compare to similar commercial initiatives?

13. ACI ACRIS Semantic Model Content
These do not
map directly to
Enterprise
Architecture
frameworks
Data Element
LibraryData
Element
Names
Component
Relational Data
Model - ERD
XML Data Model
– UN/CEFACT
Object Data
Model – Peter
Coad
Ontology Data
Model –
OWL/RDF
Technology
Components
Language
Component
Term
Glossary
Semantic
Knowledge
Graph
Component
Concept
Lattices
Shared
Facts
Concept

14. Party
Movement
State
Information Content
Location
Transport
Facility
Work Effort
Air Traffic Control monitors Arriving Flight
Ground
Handling
Status
has
Ground
Handling
Work
Flightmay consist ofPhase
Airport Operator monitors Airport GroundAirport Operator
allocates
Parking Stand
Aerodrome
is site of
Airport
Ground
Handler
starts
Ramp
Operations
Airport Location
is site of
Airport Site
AircraftperformsAircraft
Pushback
Work
Aircraft
involved in
Towing Movement
Airport Operator
confirms
Flight
Ready
Status
Air
Traffic
Control
refines
Departure
Sequence
Message
Ground Movementoccurs onTaxiway
Destination Aerodrome
is destination
for
Outbound Flight
Air
Traffic
Control
controls
Aircraft
Startup
Aircraft
assigned to
Flight
Aircraft
used inAircraft Movement
Airport
is site of Airport
Flight Message
is produced for
Flight
Aircraft
used in
Flight
Flighttravels toDestination
Departure Aerodrome
is origin for
Inbound Flight
Flightis operated byAircraft Operator
SESAR A-CDM –
Aircraft Turnaround
Model View

15. Movement
Measure
Time Period
Location
TransportFacility
Flightfollows definedRoute
Flighttravels fromOrigin
Aerodrome
is site of
Airport
Flighttravels toDestination
Aircraft
assigned to
Flight
Flightmay consist ofPhase
Flight
has defined
Duration
Operational Times
defines
Performance
ICAO SESAR
AIRM – Flight
View

16. Party
Location
Item
Offering
Facility
Information
Content
System
Movement
State
Passenger creates
Service
Bookmark
Flight
may
consist
of
Phase
Applicationshows
Aircraft
Information
ApplicationshowsRoute Map
Filght
is used to
produce
Flight
Service
Passenger
updates
Service
Bookmark
Applicationsends
List of Services
Flight
is operated by
Aircraft
Operator
Bag has Bag Status
Passenger removes
Service
Bookmark
Bag Statusis condition ofBag
Flight
has
Flight Status
Aircraft
Movement
is in
Movement
Status
ApplicationshowsServices List
Applicationdisplays
Security
Waiting Time
Passenger provides
Traveller
Credentials
Passenger
books
Airport Service
Passport
and Visa
requirement on Application
Flight Message
is produced by
Aircraft
Movement
Airport
Location
is site of
Airport Site Aerodrome
is site of
Airport
Flight
travels to
Destination
ACRIS
Seamless Travel
Model View

17. Movement
Offering
Service
Aircraft Airspace
Movement
Transport
Aircraft
Facility
Plan
Schedule
Product
Party Role
Time PeriodAircraft Movement begins at Departure Time
Dated
Operating
Segment
is operated as
Dated
Marketing
Segment
Airline Operator
offers
Products
and
Services
Aircraft Movement ends at Arrival Time
Time Events
takes place at
Station
Flight
Schedule
is
instantiated
as
Flight
Aircraft
Type
defines
Aircraft
Airline Operator
operates
Aircraft Movement
Airline Operator
publishes
Flight
Schedule
Aircraftassigned toFlight
IATA AIDM - Flight
Model View

18. Above cross-domain ACRIS Semantic Model views indicate
we are able to integrate knowledge across the Aviation
ecosystem using a common language and approach
ACI
ACRIS
Semantic
Model
Airline
Knowledge
Airport
Knowledge
Public
Transport
Knowledge
Air Traffic
Control
Knowledge

19. Airport projects that benefit from the ACI ACRIS Semantic
Model
Business Systems
Integration
• Airport – Airline
Integrations. ACI,
IATA
(UN/CEFACT)
• Internal Airport
ESB based
Application
Integrations
Business
Intelligence
• Operational Data
Stores
• Data Warehouse
Dimensional
Models
• Performance
Management
Systems
SOA & Line of
Business Apps Dev
• Airport Open Data
Initiatives
• APIs (JSON &
GeoJSON)
• Linked Data
Records &
Document
Management
• Corporate
document search.
• Corporate records
and document
organization
• Business integration for Airport business partner collaboration
• Open data initiatives including
• Standards based APIs development
• Airport Open Linked Data
• Airport business intelligence initiatives and performance management
• Records and document management initiatives

20. The ACI ACRIS Semantic Model is the foundation for the
execution of Heathrow Airport’s Business Intelligence Strategy

21. The ACI ACRIS Semantic Model is the foundation for the
execution of Heathrow Airport’s Integration Strategy

22. Key Benefits
Benefit Areas Benefits
Airport community and
enterprise knowledge
management
• Enables the development of Intelligent software
that better support end users
• Enables planning of application portfolio for an
Airport
• Enables an Airport manage technology changes
Common Airport IT
Requirements
Enables Airport IT suppliers use common Airport-wide
requirements to deliver solutions that meet user
requirements to time and at lowest cost.
Component reuse • Reduces the complexity of software applications in
Airport IT estates
• Simplifies application and data integration in
Airport IT estates.
Time to market for technology
innovation
Reduces software development lifecycle and time to
market for innovative solutions

23. Activities in 2017 Description Time
Performance Management
Models
Reference dimensional models for business decision
making in key Airport business areas
Q3, 2017
Semantic Model
Documentation
A User Guide for the Semantic Model Q4, 2017
Total Airport Management
Data Model
A data model to support the develop of Airport
Operational Control Centres (APOC)
Q2, 2017
Geospatial Data Model Development of Geospatial data model Q3, 2017
Multi-language Data
Element Description
Capability
Description of data elements in Dutch, German,
Chinese etc. to reflect local standards
Q2, 2017
ODM models and
RDF/OWL
Development of ontology models based on OMG
ODM notation to enable Open Linked Data through
RDF technology
Q4, 2017