Semantic Web for the Military User

1
Semantic Web for the Military User

• C4 Summary of Actions
• From June 6/7 Meeting

2
C4 Apps Actions (1)

• Action AMC Diplomatic Clearance Application
• Assigned BBN/John Flynn
• Due 12-Sep
• Status Knowldege acquisition meeting sponsored
  by Rome Lab was held at the Air Mobility Command
  on 28 30 August. The observations are being
  compiled. Next step was to scope a practical
  demonstration. This demo will be shown today.

3
C4 Apps Actions (2)

• Action Explore DAML use as part JBI info object
  representation
• Assigned AFRL Rick Metzger
• Due 1-Oct
• Status

4
C4 Apps Actions (3)

• Action Identify sensors for DAML representation
  in FY 02 EEE testing
• Assigned SSC Frank White
• Due 1-Aug
• Status Initial cut DADS, MASINT UGS, and Global
  Hawk package are being assessed for FY 02 EEE
  DAML representation

5
C4 Apps Actions (4)

• Action Assess DAML in modeling infrastructure
  and system control level/ties to other programs
• Assigned SSC Frank White
• Due 1-Aug
• Status Drafting a thought paper for read-ahead
  re the issues of phenomenology description, geo
  registration, measurement issues (e.g., temporal,
  errror, and uncertainty description) Key tie to
  the DARPA programs Dynamic Data Bases and Dynamic
  Tactical Targeting

6
DAML in Expeditionary Sensor Grid(ESG) for Data
and Information Fusion

• ESG - A sensor grid architecture that integrates
  sensors, networks, decision aids, weapons,
  warriors and supporting systems into a highly
  adaptive comprehensive system that operates from
  the surface to space and from sea to land.
• Widely varying heterogeneity, thousands of
  sensors and sources - coalition, legacy and
  emerging systems and sensors
• Fusion will require many more operators than
  practical and automation of fusion will depend on
  software agents
• DAML Contribution
• Referenced metadata regarding sensor
  characteristics, performance and reliability
  (pedigree), and decision-needs context for
  multiple heterogeneous sensors/sources/systems
  enabling high level automated (agent-based)
  fusion.

• SSC running FY 02 ESG Enabling Experiments
• Assess DAML markup utility for enhancement of
  fusion
• Explore bandwidth overhead and scalability
  issues.

7
DAML in Sensor Fusion
Semantic Resources
Time Series
Sensor Fusion Processor
Sensor d specification Algorithm description
C2 Fusion
Sensor c specification Algorithm description
Sensor b specification Algorithm description
Sa
Classification Confidence Localization Tracks
Event Data
Sa
Sa
Sb
Sc
Szz
Sd
Se
...
Sa
Heterogeneous Sensors
Event Time/Freq, Intensity, Shape Features,
Sensor Data
Fixed Data Structure
XML
DAML
Sensor Processing Stream using fixed structure,
XML, and DAML
8
DAML in Sensor Fusion

DATA AND INFORMATION FUSION (Client and
Services?)
Semantic Resources

Visualization, Management
Sensor c specification Pedigree Algorithm
description Unit definition Decision Context
High
Sensor b specification Pedigree Algorithm
description Unit definition Decision Context
Impacts
Sensor a specification Pedigree Algorithm
description Unit definition Decision Context
Situation
Level 3
Impact
Situations
Level 2
Situation Refinement
Event Time/Freq, Intensity, Shape Features,
Sensor Data
INFERENCE LEVEL
Object Base
?
Level 4 Resource Refinement
Level 1
Existence of object Classification Confidence Loca
lization Tracks Event Data
DAML
Object Refinement
Objects
?
Level 0
Signal Data Refinement
Low
Szz

Sc
Sd
Se
...
Sb
HUMINT
Fixed Data Structure, XML
Open Source
Time Series
Heterogeneous Sensors and Sources
Sensor Processing Stream using fixed structure,
XML, and DAML
9
DAML Fusion Process
Hypotheses Generation and Selection
OntologyforScenarioA
OntologyforScenarioB
OntologyforScenarioX
...
...
Sensor Fusion/Resolution
C2 Fusion Client
Sensor d specification Algorithm description
Sensor c specification Algorithm description
Sensor b specification Algorithm description
Success
...
Sb
Sc
Szz
Sd
Se
Failure
Sensor Semantic Resources
Heterogeneous Sensors
10
C4 Apps Actions (5)

• Action Contact SRI re data registration,
  uncertainty estimation, articulation of
  sensor/network information
• Assigned BBN John Flynn/Mike Dean
• Due 11-Jul
• Status SRI has been contacted and will follow
  through

11
C4 Apps Breakout Tasks

• Explore Further C4 Applications
• Follow up Sensor, Fusion, and Information
  Management applications of Semantic Web/DAML
• Ascertain ties to other areas (Intel/Doctrine-Less
  ons Learned, others)