Semantic Web for the Military User : Semantic Web for the Military User C2 Applications Breakout
Report
11/14/01
C2 Apps Participants : C2 Apps Participants Mike Dean BBN
Rob Rasch BCBL-L (Army)
Mike Rimmer NWDC
Mark Gorniak AFRL
Ken Whitebread LMSC/ATL
Frank White SSC
Martha Kahn Global Infotek
Hal Hultgren NWDC
Paul Neves BBN
Lee Lacy DRC
Tom Martin RME
Objectives : Objectives Explore Command and Control Applications for DAML developments, both long and short term
What are ways in which we can best explore the value of DAML for C2 functions
Framework: Expeditionary Sensor Grid : Framework: Expeditionary Sensor Grid
C2 Applications Outbrief Framework - ESG : C2 Applications Outbrief Framework - ESG Control of systems/sensors/and networks
With auto registration, knowledge of capabilities, can more intelligently control for optimal or appropriate coverage for the mission at hand for planning, and adaptation to changing conditions.
Infrastructure Applications
Semantic interoperability of systems, dynamic reconfiguration with “understanding” at the machine level of the implications
Sensor Applications
Smart Sensors communicating with one-another
E.g., unattended acoustic/IR… aerial, ground, or underwater sensor (one of potentially thousands)
Fusion, aggregation and reporting
Expeditionary Sensor Grid : Expeditionary Sensor Grid Objective:
Many cheap sensors, netted, fused, aggregated and managed
Air, Ground, Maritime, not uniquely Naval, but essential for assuring access to the litoral
Requirements at sensor, network, and system control levels
Sensor Fusion, Sensor Management, Communications Management, all issues requiring automotion
DAML in Expeditionary Sensor Grid (ESG) for Data and Information Fusion : DAML in Expeditionary Sensor Grid (ESG) for Data and Information Fusion ESG - A sensor grid architecture that integrates sensors, networks, decision aids, 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.
FY 02 ESG Enabling Experiments
Assess DAML markup utility for enhancement of fusion
Explore bandwidth overhead and scalability issues.
DAML in Sensor Fusion : Sensor Processing Stream using fixed structure, XML, and DAML Sensor d specification
Algorithm description… Sb` Sc Szz Sa` Sa` Sa` Sa` Time
Series Sensor Fusion
Processor Event Time/Freq, Intensity, Shape Features, Sensor Data C2 Fusion Classification
Confidence
Localization
Tracks
+ Event Data Sd Se ……... Heterogeneous Sensors Sensor c specification
Algorithm description… Sensor b specification
Algorithm description… Semantic Resources Fixed Data
Structure XML DAML DAML in Sensor Fusion
DAML in Sensor Fusion : DAML in Sensor Fusion Sensor Processing Stream using fixed structure, XML, and DAML Sb` Sc Szz Time
Series Event Time/Freq, Intensity, Shape Features, Sensor Data Existence of object
Classification
Confidence
Localization
Tracks
+ Event Data Sd Se …... Heterogeneous Sensors and Sources Sensor c specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
… Semantic Resources Fixed Data
Structure, XML DAML DATA AND INFORMATION FUSION (Client and Services?) Level 0 Signal Data Refinement Level 1 Object Refinement Objects Level 4 Resource Refinement Object Base Situation Visualization, Management Level 2 Situation Refinement Level 3 Impact Situations Impacts High Low INFERENCE LEVEL Sensor b specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
… Sensor a specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
… HUMINT Open Source … ? ?
By the way : By the way XML = 10x hard code
DAML = 2x XML
Jini/Java breakpoint
Recommendations/Actions : Recommendations/Actions
Communications : Communications For ESG, smart agent needed for dynamic communications management to do reasoning about the network – to support the smart agent operation, need:
Comms ontology from Operational Level to Tactical Level (see next slide)
Identify boundaries of sensor nets, etc.
Ontology Development : Ontology Development Ontology from Operational Level (CJTF) to tactical level (weapons on target) for supporting modeling of sensor/ communications/ information management needs
Benefits to ESG
Experiment design
System Concept Testing
Once refined, system design, and construction
Ties to many many other needs
Leverage of Doctrine/TTP/Lessons Learned/Training
Experimentation (General) : Experimentation (General) Experimentation (EEE)
For both Communications and Fusion applications, refine the CoABS Grid DAML interfaces for Utility for
Dynamic Communications
Sensor Management
Sensor Fusion
DAML For Fusion : DAML For Fusion EEE Experimentation
Explore the Depth of where DAML markup makes the most sense
Explore Jini/Java (I.e., Grid) object translation to DAML
Research
Assess DAML tools for the multiple layers from the physical to the information management
Bandwidth tradeoffs, etc.
Modeling DAML/assessing utility in the mobile environment
Homeland Security : Homeland Security Will you provide a wish-list of ontologies?
Can you help with exporting data in DAML
Ultimate goal – can assess introducing DAML at lower level in process for ultimate use in agent applications
Nearer term
Researchers could work with data
Will help with developing other (ESG) sensor related data