semantic web for the military user c2 applications breakout report 11/14/01
TRANSCRIPT
Semantic Web for the Military User
C2 Applications Breakout
Report
11/14/01
C2 Apps Participants
Mike Dean BBNRob Rasch BCBL-L (Army)Mike Rimmer NWDCMark Gorniak AFRLKen Whitebread LMSC/ATLFrank White SSCMartha Kahn Global InfotekHal Hultgren NWDCPaul Neves BBNLee Lacy DRCTom Martin RME
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
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
• 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
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.
Sensor Processing Stream using fixed structure, XML, and DAML
Sensor d specification
Algorithm description…
Sb` Sc Szz
Sa`
Sa`
Sa`
Sa`
TimeSeries
Sensor FusionProcessor
Event Time/Freq, Intensity, Shape Features, Sensor Data
C2 Fusion
ClassificationConfidenceLocalizationTracks+ Event Data
Sd Se……...
Heterogeneous Sensors
Sensor c specification
Algorithm description…
Sensor b specification
Algorithm description…
Semantic Resources
Fixed DataStructure XML DAML
DAML in Sensor Fusion
DAML in Sensor Fusion
Sensor Processing Stream using fixed structure, XML, and DAML
Sb`
S
c
S
zzTimeSeries
Event Time/Freq, Intensity, Shape Features, Sensor Data
Existence of objectClassificationConfidenceLocalizationTracks+ Event Data
S
d
S
e
…...
Heterogeneous Sensors and Sources
Sensor c specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
…
Semantic Resources
Fixed DataStructure, XML
DAML
DATA AND INFORMATION FUSION (Client and Services?)
Level 0 Signal Data Refinement
Level 1
Object Refinement
Objects
Le
ve
l 4
R
es
ou
rce
Re
fin
em
en
t
Object Base
Situation
Visualization, Management
Level 2Situation Refinement
Level 3Impact Situations
ImpactsHigh
Low
INF
ER
EN
CE
LE
VE
LSensor b specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
…
Sensor a specification
Pedigree
Algorithm description
“Unit definition”
Decision Context
…
HUMINTOpen Source…
?
?
By the way
• XML = 10x hard code
• DAML = 2x XML
• Jini/Java breakpoint
Recommendations/Actions
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 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 (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
• 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
• 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