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I’m drowning in data… 
…how can you help? 
Context Driven Delivery of Aeromedical 
Information 
1
Sponsors 
DoD NOTAMS Office 
NextGen Joint Planning and 
Development Office 
(Now NextGen Interagency 
Planning Office) 
2
Agenda 
• Problem 
– Information Overload 
• Solution Demonstration 
– Context-Driven Delivery of Aeronautical Information 
• Way Forward 
– Cross Organizational Semantic Services 
3
Problem: Information Overload 
NOTAMS Charts Aircraft 
Procedures 
Takeoff/ 
Landing 
Limitations 
Bird 
Aeronautical 
Advisories SID/STARs Information Flight Plan 
GPS Info Approach 
Plates Weather Fuel 
Requirements 
What the Pilot really need is help in: 
• Putting together discrete and pertinent pieces of information 
4 
g g p p 
• Executing a knowledgeable decision at the right time
Some Data Can Be Presented 
Better, But… 
5
Scenario 
• C-17 departs from Travis AFB to Ft Hood to pick up cargo and personnel 
• Aircraft will continue on to Dover AFB to offload cargo 
Atlas 747 is • en-route to Dover AFB to pick up cargo delivered by the C-17 
• Next destination is Miami International airport where cargo is delivered 
(Technical Process) 
Federated 
Semantic Query 
Information 
Filtering and 
Prioritization 
Recommended 
Trigger Action 
1.Pre-flight Planning 
2.En Route Mechanical Failure 
3.Arrival Data Sources 
NOTAMS 
Aerodrome 
Airfield Services 
Weather (Local, Regional) 
Aeronautical ( DAFIF) 
Context Information 
On-board Sensors 
Mission Information 
C 
) 
Temporary Flight 
Restrictions (FAA) 
Special Use Airspace 
SLIDE 6 6 
(DAFIF) 
Flight Crew 
Aircraft Charateritics
Data Sources 
Data Sources 
DoD 
Defense Aeronautical 
NOTAM Information Portal 
User 
Interface 
DoD Flight Information 
NGA 
Publication 
Approach 
Plates and 
Charts 
Digital Aeronautical 
Flight Information File 
FAA/NOAA* 
Airport and 
Runways 
Demo 
Scenario 
Aviation Digital Data 
Service 
Google 
METAR 
Weather 
Google 
Temperature 
Cloud Coverage 
7 
Aircraft Characteristics 
Aircraft 
* Through UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH Characteristics
Preflight Planning: Pilot 
Perspective 
Information from 
multiple sources in a 
single place in the 
order of relevance 
SLIDE 8 8
Onboard Emergency: Pilot 
Perspective 
Recommendation of 
emergency land sites 
based on business rules 
SLIDE 9 9
Onboard Emergency: ATC 
Perspective 
Tailed information 
presentation based 
i i 
on mission 
requirements. 
SLIDE 10 10
Operational Benefits 
• Deliver context-sensitive information 
– To the right people 
– At the right time 
• Reduce number of systems required for preflight preparation 
• Improve arrival preparation and efficiency by 
– Dynamically supporting optimized approach and landing 
– Based on weather data and relevant NOTAMs 
• Increase safety of flight by 
– Reducing errors 
– Reducing time pilots need to spend 
• Reviewing documents 
• Analyzing and integrating the information 
• Making decisions manually 
11 
g y
CrOSS Organizational Semantic 
Services 
• Leverage Semantic Web Technologies 
– Provide actionable intelligence 
– Enable information discovery across organizational boundaries 
– Reuse existing data sources and services 
• Address Operational Problems 
– Context-driven Decision Support for Pilot (NOTAM demonstration) 
– Collaboration and Alignment of NextGen Activities (CrOSS) 
Semantic Decision 
Support Tool 
Operational Information Shaping NOTAM, 
Weather, 
Charts, 
Airports 
Information Filtering 
and Prioritization n 
Cross‐Organizational 
Semantic Services 
Airports, 
Flight Plans, 
…… 
tion and Correlation 
Analytic <xml 
</> 
Requirements, 
CONOPS, 
Enterprise 
Architecture, 
…… 
Data Federat 
Big Data Analytics 
12 
Enterprise Knowledge 
Decision Support
Way Forward 
JPE II R&D Sync UAS Decision Support Demonstrations 
CrOSS Core Services 
API 
Knowledge Management Federated Data Business Rules 
Semantic Information 
M tP t lth t S iD i i S T l 
NextGen Prototyping Network 
Management Portal that 
Learns (SIMPL) 
Semantic Decision Support Tool 
NSRR GSD Reg 
A ti l 
NETE 
13 
FAA NOAA 
Weather NOTAM 
Aeronautical 
Information

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Context Driven Delivery of Aeronautical Information

  • 1. I’m drowning in data… …how can you help? Context Driven Delivery of Aeromedical Information 1
  • 2. Sponsors DoD NOTAMS Office NextGen Joint Planning and Development Office (Now NextGen Interagency Planning Office) 2
  • 3. Agenda • Problem – Information Overload • Solution Demonstration – Context-Driven Delivery of Aeronautical Information • Way Forward – Cross Organizational Semantic Services 3
  • 4. Problem: Information Overload NOTAMS Charts Aircraft Procedures Takeoff/ Landing Limitations Bird Aeronautical Advisories SID/STARs Information Flight Plan GPS Info Approach Plates Weather Fuel Requirements What the Pilot really need is help in: • Putting together discrete and pertinent pieces of information 4 g g p p • Executing a knowledgeable decision at the right time
  • 5. Some Data Can Be Presented Better, But… 5
  • 6. Scenario • C-17 departs from Travis AFB to Ft Hood to pick up cargo and personnel • Aircraft will continue on to Dover AFB to offload cargo Atlas 747 is • en-route to Dover AFB to pick up cargo delivered by the C-17 • Next destination is Miami International airport where cargo is delivered (Technical Process) Federated Semantic Query Information Filtering and Prioritization Recommended Trigger Action 1.Pre-flight Planning 2.En Route Mechanical Failure 3.Arrival Data Sources NOTAMS Aerodrome Airfield Services Weather (Local, Regional) Aeronautical ( DAFIF) Context Information On-board Sensors Mission Information C ) Temporary Flight Restrictions (FAA) Special Use Airspace SLIDE 6 6 (DAFIF) Flight Crew Aircraft Charateritics
  • 7. Data Sources Data Sources DoD Defense Aeronautical NOTAM Information Portal User Interface DoD Flight Information NGA Publication Approach Plates and Charts Digital Aeronautical Flight Information File FAA/NOAA* Airport and Runways Demo Scenario Aviation Digital Data Service Google METAR Weather Google Temperature Cloud Coverage 7 Aircraft Characteristics Aircraft * Through UNIVERSITY CORPORATION FOR ATMOSPHERIC RESEARCH Characteristics
  • 8. Preflight Planning: Pilot Perspective Information from multiple sources in a single place in the order of relevance SLIDE 8 8
  • 9. Onboard Emergency: Pilot Perspective Recommendation of emergency land sites based on business rules SLIDE 9 9
  • 10. Onboard Emergency: ATC Perspective Tailed information presentation based i i on mission requirements. SLIDE 10 10
  • 11. Operational Benefits • Deliver context-sensitive information – To the right people – At the right time • Reduce number of systems required for preflight preparation • Improve arrival preparation and efficiency by – Dynamically supporting optimized approach and landing – Based on weather data and relevant NOTAMs • Increase safety of flight by – Reducing errors – Reducing time pilots need to spend • Reviewing documents • Analyzing and integrating the information • Making decisions manually 11 g y
  • 12. CrOSS Organizational Semantic Services • Leverage Semantic Web Technologies – Provide actionable intelligence – Enable information discovery across organizational boundaries – Reuse existing data sources and services • Address Operational Problems – Context-driven Decision Support for Pilot (NOTAM demonstration) – Collaboration and Alignment of NextGen Activities (CrOSS) Semantic Decision Support Tool Operational Information Shaping NOTAM, Weather, Charts, Airports Information Filtering and Prioritization n Cross‐Organizational Semantic Services Airports, Flight Plans, …… tion and Correlation Analytic <xml </> Requirements, CONOPS, Enterprise Architecture, …… Data Federat Big Data Analytics 12 Enterprise Knowledge Decision Support
  • 13. Way Forward JPE II R&D Sync UAS Decision Support Demonstrations CrOSS Core Services API Knowledge Management Federated Data Business Rules Semantic Information M tP t lth t S iD i i S T l NextGen Prototyping Network Management Portal that Learns (SIMPL) Semantic Decision Support Tool NSRR GSD Reg A ti l NETE 13 FAA NOAA Weather NOTAM Aeronautical Information