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The Role of Information Elements in Net
Centric Data Management
Presentation to the Sixteenth Systems and Software
Technology Conference, April 2004
By Silver Bullet Solutions, Inc.
April 2004 2
Briefing Outline
• Definition of Information Elements
– Roles in
• Architecture
• System Engineering
• Information Requirements Description
• Systems Analysis
• Capabilities Definition
• Net Centric Data Strategy
– Goals and Elements
– IE Roles in the Elements
• COI Determination and Interaction
• Understanding and Discovery
• Ontologies
• Taxonomies
• Harmonization and Mediation
• Metadata Attributes
April 2004 3
Working Definitions
• Information Element
– From “information” --“data in context”
– e.g., “Electronic Order of Battle for KP”, “SPAWAR Execution Year Budget (OMN)”, “Landing
Gear part number for F/A-18 E/F”
– Language of humans: operators, engineers, designers can communicate
• Data Element
– An entity, attribute, or relationship or equivalent
– e.g., FACILITY, FACILITY-TYPE, FACILITY-GEOLOCATION, FACILITY-MATERIEL-ITEM-
ESTABLISHMENT-NORM, MATERIEL-ITEM-RF-EQUIPMENT, etc. (for EOB)
– Language of machines: computer knows what to access
E-R Model
Class
Diagram
Relational
Database
Object DBMS
XML DTD /
Schema
TADILs MTF
Entity Class Table Class Element Message Message
Attribute Attribute
Field /
Column
Attribute
Child Element
or Element
Attribute
DFI
FFIRN / FFN /
FUDN
Domain Value
Instance,
Value
DUI FUD
Equivalences:
April 2004 4
Roles in Architecture
System Functions
Operational Nodes
Physical Nodes
Operational Activities
Systems
Standards
Performance
Data Information
Technologies
Notes:
1. Conceptual view of Core Architecture Data Model (CADM) [9] in DoDAF 1.0 [7]
2. ‘crows feet’ means ‘many’; on both ends means ‘many-to-many’
3. All entities have recursive ‘many-to-many’ with themselves (not shown)
Six
important
roles
[9] adapted from [7]
April 2004 5
Roles in Architecture (Reports)
Adapted from [7]
1 {2} 1 {2} {3} {4} {5} {6} {7} {1} {2} {3} {4} {5} {6} {7} {8} {9} {10
}
{11
}
{1} {2}
Operational Nodes
Organizations, Types of Organizations,
and Occupational Specialties
Generalization &
Composition
Operational Activities (and
Tasks)
Composition
Information Elements and Data
Elements
Generalization &
Composition
Physical Nodes
Facilities, Platforms, Units, and
Locations
Generalization &
Composition
Systems
Families-of-Systems, Systems-of-
Systems, Networks, Applications,
Generalization &
Composition
System Functions Composition
Triggers / Events
Generalization &
Composition
Performance Attributes
Generalization &
Composition
Technical Standards
Info Processing, Info Transfer, Data,
Security, and Human Factors
Generalization &
Composition
Technology Areas
Systems and Standards
Generalization &
Composition
= Taxonomy element plays a primary role = Secondary role blank = element not part of this datase
TAXONOMY TYPES STRUCTURE
APPLICABLE ARCHITECTURE DATA ELEMENT SETS
AV
Tech
View
(TV)
System View (SV)Operational View (OV)
April 2004 6
Roles in System Engineering
Joint
C m ds,
Intel C ells
and
A D A ssets
via their
G C C S/
T B M C S
System s
A A D C SystemT D SA D A ssets
L ink 11
L ink 16
C E C
IT 21
Platform
Provided
SH F/JPN
C ircuits
SIPR N E T
Platform Provided
V oice C ircuits
Joint A ir C oordination N et
C om m and N et
Joint Intelligence N et
E arly W arning T M D N et
Interface C oordination N et
Platform T actical N ets
A A D C T actical N etO n B oard
O ff B oard
K ey
T A O
A A W C
SE SS
G C C S/T B M C S
Platform D ependent
A E G IS
PA C
T H A A D
H A W K
C V
C A P
JF C
JF A C C
T A O C s
A A M D C
C R C
JE C G
R A D C s
JIC O
A D A s
etc.
A E G IS
PA C
T H A A D
H A W K
C V
C A P
Joint C om m ands
& A D A ssets
Platform C om m and
Platform
Provided
JD N /JC T N
C ircuits
C U D IX
A A D C T ac O ps
A A D C Pln C ell
T A D IX S
O T C IX S
D ata L ink C oord. N et
T A C IN T E L N ets
T rack Supervision N et
V oice Product N et
O ther N ets as required
IEs
Example from AADC
System Spec.
3.3.1 TDS Interfaces
(2) The AADC system shall be capable of interfacing with multiple TDS
systems.including, but not limited to, AEGIS and Advanced Combat Decision
System (ACDS).
(U) The AADC system shall receive the TDS track file through an interface to the host TDS including:
2.1.1.1 Position
2.1.1.2 Velocity
2.1.1.3 Acceleration
2.1.2 PVA Confidence
2.1.3 Time
2.1.4 Identification
2.1.5 Threat Intentions
2.1.6 Attributes
2.1.7.1 ESM/ELINT
2.1.7.5 Navigation
2.1.7.6 Radar
2.1.7.7 EO/IR
7.1 Data Exchange Controls
7.2 Identification Management
7.3 Parametric Data Coordination
7.4 Correlation/Association Management
7.6 Reporting Coordination
(V) The AADC system shall provide digital force orders to Air Defense assets over Link 11, Link 16 or
CEC via the host TDS, depending on host TDS implementation of these functions, including:
5.1 Target Data; Offensive / Integrated Prioritized Target List
5.2 Surveillance/Sensor Plans
5.4 Communications Plans
5.7 Defensive/Force Protection
5.8 Movement
6.1 General Tasking
6.3 Tactical Orders
6.3.4 Direct Employment of Communications, Sensor, and Weapon
6.3.6 Engaging Unit/Target Dynamics
6.3.7 Third Party Targeting Data
6.3.8 Platform Resource Allocation
6.3.9 Tactical Order Responses
April 2004 7
Role in Information Requirements
Description (EEIs)
17 Jan 01 database
0
1000
2000
3000
4000
5000
6000
7000
8000
9000
10000
INDBInfoNeedsActions
WMD
StratSA
SSC
SpaceWar
SAR
Proliferation
Political
OOTW
NEO
Migration
IntlCrime
HumanAssist
Health
ForceMod
Environ
Economic
D&D
CounterTerror
CounterNarc
CounterIntel
StratLift
OvrSeasPresence & ForceProj
InfoSuperiority
FullD-Protect
FocusedLog
Deploy/Redeploy
PrecisionEngage
JSEAD
DomManeuver
ResultResult
ASOC
ATNDB
CINA
CINF
Urban
GIRH
J2-USFK
Navy
CINC
Worksheets
Map
Locate
Track ...
Identify ...
Activity/Status ...
Capability ...
Intent ...
Multi-INT Study EEI Sources
(~3700)
Map
OB (Mobile)
Infrastructure (Fixed) ...
Geospatial ...
Networks ...
Political ...
AnalysisAnalysis
(based on comprehensive analysis
of many EEI sources)
From [15]
April 2004 8
Create Multi-INT
Information Needs
database
Existing EEIs
Evaluate
“knowledge
matrix”
Metric
Devise Multi-INT
Metrics for EEI
satisfaction
Existing EEIs
Information Needs
Database Document
plus
Evaluation Results
Build
Models
Role in Systems Analysis
Information Needs
Database Document
plus
Evaluation Results
Multi-INT Fusion
Options
Multi-INT Fusion
Options
Combat
Outcome
Metric
From [15]
∆ Data
------------
∆ C4ISR
∆ Knowledge
------------
∆ Data
∆ C2
------------
∆ Knowledge
∆ Combat Outcome
------------
∆ C2
∆ Combat Outcome
------------
∆ C4ISR
=
April 2004 9
Role in Capabilities Definition
• JBMC2 -- what information?
Object
Categories
Examples Location Movement Identify Status Activity Intent
OOB
Units, vehicles, sites,
facilities, aircraft,
ships, satellites
lat/long spd/hdg
country /
alliance,
type/class
readiness
targeting,
reconitering
COA
Infrastructure
Comm, power,
transportation,
water/sewer
network, grid
throughput,
flow rates,
amps
name, part-of
relationships
BDA, op
levels
repair,
broadcasts
expansion
plans
Sociological
Culture, religion,
economic, ethnic,
government, history,
languages
temples,
historic
structures
relocations
names and
associations
stability,
vulnerabilities
political or
religious
activities
religious or
political plans
Geophysical
Terrain, weather,
climatology,
oceanography,
astrometry
feature
lat/long,
alt/dpth
flowraters,
tides
names
sea and river
levels,
temperature
storms,
volcanos
forecasts
Information Categories and Examples
Working papers from [14]
April 2004 10
Example Service IE Taxonomy
• Generalization to fundamental
semantics allowed mapping across
diverse representations such as:
– TADILs
– VMF
– USMTF
• Recognition of the equivalent or
similar semantics in the differing
representations would be a first
step toward harmonization or
mediation
– A way to manage “isSimilarTo” [8]
11.8 - Kinematics
11.8.1 - Pos / Vel / Acc (PVA)
11.8.1.1 - Acceleration
11.8.1.1.1 - Angular
11.8.1.1.2 - Linear
11.8.1.2 - Estimate Type
11.8.1.2.1 - Estimated
11.8.1.2.2 - Observed
11.8.1.2.3 - Predicted
11.8.1.2.4 - Smoothed Data
11.8.1.3 - Position
11.8.1.3.1 - Bearing Angle
11.8.1.3.2 - Location; 2D Horizontal
11.8.1.3.3 - Vertical
11.8.1.4 - Velocity
11.8.1.4.1 - Horizontal
11.8.1.4.2 - Vertical
11.8.2 - PVA Confidence
11.8.2.1 - Bearing Angle
11.8.2.2 - Bearing Angle Rate
11.8.2.3 - Covariance Matrix
11.8.2.4 - Elevation
11.8.2.5 - Elevation Angle Rate
11.8.2.6 - Horizontal AOP
11.8.2.7 - Horizontal Circular
11.8.2.7.1 - TQ
11.8.2.8 - Range
11.8.2.9 - Vertical
11.4 - Classification
11.4.1 - Category
11.4.1.1 - Confidence Level
11.4.1.2 - Estimate Type
11.4.1.2.1 - Alternative
11.4.1.2.2 - Evaluated Decision
11.4.1.3 - Value
11.4.1.3.1 - Air
11.4.1.3.2 - Land
11.4.1.3.3 - Space
11.4.1.3.4 - Subsurface
11.4.1.3.5 - Surface
11.4.2 - Platform / Point / Feature Type
11.4.3 - Specific Type
11.4.4 - Type Modifier
11.4.5 - Unit
–IBS
–MIDB
–C2 Core
From [17]
C4ISR INFORMATION
ELEMENTS
ACTION INFO
MEASUREMENT
INFORMATION
SITUATION
INFO
SYSTEM INFO
GEOPHYSICAL
INFO
PLATFORM /
FAC / UNIT INFO
Matching The data elements are equal
Mapping The data elements are equivalent
April 2004 11
Elements of Net-Centric Data Strategy
Elements
Goals
COI
Model(structure)Registry
XMLRegistryDiscoveryServicesContentMetadataTransformationServices
GIGPoliciesOntologies
TaxonomiesPedigreeModelSecurityModelNCES
Visible
Accessible
Governance
Understandable
Trusted
Interoperable
Responsive
Derived from [2],
[3], [4], [6], and
[8]
April 2004 12
A Spectrum of Data Mgmt
• Coupling and deep integration
• Ultra-high reliability
• Irreversible sudden operational
consequence
• Human filtered
• Mitigated by other information
• Opportunity for correction
LogCOP
Weather
ExamplesExamples
CTP
Working
papers for
[14]
Automatic
Carrier
Landing
System
signals
Self-
destruct
message
data
Fly-by-wire
guidance
system
data
April 2004 13
COI Topologies
• Types of COIs
– Expedient
– Institutional
– Functional
– Cross-Functional
– + others yet to be determined
• COI Intersections
From [3]
Working
papers
for [14]
April 2004 14
COIs and Architecture
• COIs represent clustering of needs to share information by
• Organizations
• Types of organizations
• Operational Roles
• Occupational Specialties
• Operational Activities or Tasks
• System Functions
• Systems
• Physical Nodes
• others?
– The “means” by which they interact is the “grid”
• In Architectures these would be clusters of:
– Needlines (Op Nodes)
– Activitylines (Op Activities / Tasks)
– Functional Interfaces (System Functions)
– System Interfaces
“Op Nodes”
Working
papers
for [14]
April 2004 15
Lower Level
(Reconcile - Map)
Lower Level
(Reconcile - Map)
Top Level
(Reconcile - Map)
Top Level
(Reconcile - Map)
Mid Level
(Bridge between
Architecture, SoSE, Info. Rqmts
and Implementation Design)
Mid Level
(Bridge between
Architecture, SoSE, Info. Rqmts
and Implementation Design)
• JTAMDO IEs
• Navy IEs
• GIG Arch IEs
• C2 FCB Arch IEs
• SIAP IEs
• INDB EEIs
• etc.
TADIL A/B/C/J C2 Core/JCDB/C2IEDM
IBS JMCDM
OTH-T Gold USIGS
MIDB / GMI NS FDL
VMF SHADE
NATO Link-1 NID/Mer Ship DB
ATDL-1 MEPEDS
USMTF EPL/EWIR/NERF
CEC etc.
IEs Support Discovery and Understanding
Human communication
Broad audience
Shorthand meaning
child-parent can be:
• is-a-part-of
• is-a-type-of
The middle
looks like a
taxonomy
The middle
looks like a
taxonomy
Machine communication
Software Engineers only
Explicit meaning
April 2004 16
IEs Support Ontology Development
• C2 Core [10] (C2IEDM [11] / JCDB) Concepts
From [16]
April 2004 17
Existing Databases:
Modernized Integrated Data Base (MIDB) National source for order of battle, facilities, etc.
EW Integrated Reprogramming (EWIR) Frequency, PRI, PW, etc. for all radars
GCCS Shared Data Environment (SHADE) Commonly used reference data p/o Net-Centric metadata registry
Military Characteristics and Performance data (MEPEDS) Technical data on ships, aircraft, etc.
Joint Operations Planning and Evaluation System (JOPES) Planning data
Status and Operational Readiness and Testing System (SORTS) Readiness data
Common Cryptologic Data Base (CCDB) Frequency, carriers, nodes and links
GCCS Track File (TBDM) From w hich COParises
Message Standards:
* Tactical Digital Information Link (TADIL) Standard for command and control
Variable Message Format (VMF) Part of TADIL-J family
United States Message Text Format (USMTF) Standard for planning messages
Integrated Broadcast System (IBS) Standard for intelligence surveillance data
FAAD Data Link Forw ard Area Air Defense data link
CEC Datalink CEC
Over the Horizon Targeting, Gold (OTH-T Gold) COPdatalink
TACINTEL II Primary datalink for SIGINT systems
IDS / IRS / ICD Interfaces betw een systems
Data Standards:
XML Registry Namespaces for Ground Ops, GMI, COP, etc.
Defense Data Dictionary System (DDDS) Legacy registry p/o Net-Centric metadata registry
Standard Models:
Command and Control Core Data Model Data model used in JCDB and C2IEDM
Joint METOC Conceptual Data Model Oceanographic and meterological
Unmanned Aerial Vehicle / Joint Airborne Surveillance Architecture Datalinks for UAVs
Defense Data Architecture models Funtional area models p/o Net-Centric metadata registry
Visions and Architectures
Fn / FCS / MC2C information requirements Future service architectures
NCOW Ref Model ICOMS DoD level architecture
IE - DE Mappings Support Mediation and
Harmonization Management
E
xam
ples
for
C
4IS
R
–
N
ot
C
om
plete
April 2004 18
IEs are a Tool for Object Semantics
Mission Planning FinanceTransportation
Desired_impact_point:
Time_on_target:
Lethality_characteristics:
Applicable_aircraft:
Size:
Packaged_weight:
Pick_up_location:
Destination:
Unit_cost:
Number_required:
Funding_program:
Contract_number:
Flight Planning
Weight:
Minimum_drop_altitude:
Approach_type:
Drop_angle:
Drag_coefficient:
Engineering
Intended_target:
Casing_thickness:
Detonation_mechanism:
Attachment_mechanism:
Explosive_type:
Ground Operations
Attachment_time_required:
Wing_placement:
Assembly_instructions:
Arming_instructions:
What’s a bomb? (Answer – all)
IEs provide tractable visibility and concurrence mechanisms, in context and
in succeeding levels of detail in integrated architectures
IEs provide tractable visibility and concurrence mechanisms, in context and
in succeeding levels of detail in integrated architectures
Adapted
from
MITRE
Corp
April 2004 19
Correct IERs Support Net Centric Data
Management
• IERs are defined as materiel independent descriptions of
information sharing needs for operations
Op Node that needs the information
(org, org type, op role, occupational
specialty)
To do what (op activity, task, process, …)
Op node that produces the info
(org, org type, op role, occupational
specialty)
In the course of what (op activity, task, process, …)
What kind of info (information element)
With any special attributes?
How fast? (timeliness)
How secure? (security)
How much? (size)
How protected? (IA)
How accurate? (accuracy)
etc.
IERs Do NOT Address Communications -- Point-to-
Point, GIG, or otherwise
IERs Do NOT Address Communications -- Point-to-
Point, GIG, or otherwise
April 2004 20
Summary
• IEs support many elements of Net-Centric Data Strategy
Net Centric Data Strategy Elements
Information
Elements
COI
Model(structure)Registry
XMLRegistryDiscoveryServicesContentMetadataTransformationServices
GIGPoliciesOntologies
TaxonomiesPedigreeModelSecurityModelNCES
Exchanges,
Requirements, and
Interfaces
IE Taxonomies
Data Element Mappings
Exchange and Interface
Attributes
IE-Level Conceptual
Models
April 2004 21
References
1) “DoD Data Administration”, DODI 8320.1, OASD (NII) / DoD CIO, 26 Sept 1991
2) “Department of Defense Net-Centric Data Strategy”, OASD (NII) / DoD CIO, 20 April 2003
3) “Communities of Interest in the Net-Centric DoD Frequently Asked Questions (FAQ), Draft”, OASD (NII) /
DoD CIO, 13 March 2004
4) “The DoD Net- Centric Data Strategy And Discovery & Mediation Enterprise Services”, briefing by OASD
(NII) / DoD CIO, 3 Nov 2003
5) “DoD Net-Centric Data Management Strategy: Metadata Registration”, memorandum, OASD (NII) / DoD
CIO, 3 April 2003
6) “Department of Defense Discovery Metadata Specification (DDMS), Version 1.0”, Deputy Assistant
Secretary of Defense (Deputy Chief Information Officer), 29 September 2003
7) “Department of Defense Architecture Framework, Version 1.0”, OASD (NII) / DoD CIO, 9 Feb 2004
8) DoD XML Registry at http://diides.ncr.disa.mil/
9) CADM documentation and model at https://pais.osd.mil/enterprisearchitectures)
10) C2 Core documentation and model at http://www-datadmn.itsi.disa.mil/datadmn/dda/c2core.html
11) C2IEDM documentation and model at Multilateral Interoperability Program: http://www.mip-site.org/
12) Defense Data Architecture (DDA), documentation and models available at http://diides.ncr.disa.mil/
13) Information Integration for Concurrent Engineering (IICE), IDEF5 Method Report, Armstrong Laboratory
(AL/HRGA), Wright-Patterson Air Force Base, Ohio, 21 Sept 1994
14) Joint Battle Management Command and Control (JBMC2) Roadmap, OUSD (AT&L) / JFCOM, Feb 2004
15) Keithley, H., Multi-INT Fusion Performance, Joint C4ISR Decision Support Center, OASD(C3I),
Washington, D.C., 2001
16) Ontology and Fusion (McDaniel, D., “Multi-Hypothesis Database for Large-Scale Data Fusion”, Proceedings
of the Fifth International Conference on Information Fusion, International Society of Information Fusion,
Sunnyvale, CA, 2002)
17) Naval C4ISR Operational Architecture, Space and Naval Warfare Systems Command (SPAWAR), 1997

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Structured military messaging & NEO Net Enabled Operations

  • 1. The Role of Information Elements in Net Centric Data Management Presentation to the Sixteenth Systems and Software Technology Conference, April 2004 By Silver Bullet Solutions, Inc.
  • 2. April 2004 2 Briefing Outline • Definition of Information Elements – Roles in • Architecture • System Engineering • Information Requirements Description • Systems Analysis • Capabilities Definition • Net Centric Data Strategy – Goals and Elements – IE Roles in the Elements • COI Determination and Interaction • Understanding and Discovery • Ontologies • Taxonomies • Harmonization and Mediation • Metadata Attributes
  • 3. April 2004 3 Working Definitions • Information Element – From “information” --“data in context” – e.g., “Electronic Order of Battle for KP”, “SPAWAR Execution Year Budget (OMN)”, “Landing Gear part number for F/A-18 E/F” – Language of humans: operators, engineers, designers can communicate • Data Element – An entity, attribute, or relationship or equivalent – e.g., FACILITY, FACILITY-TYPE, FACILITY-GEOLOCATION, FACILITY-MATERIEL-ITEM- ESTABLISHMENT-NORM, MATERIEL-ITEM-RF-EQUIPMENT, etc. (for EOB) – Language of machines: computer knows what to access E-R Model Class Diagram Relational Database Object DBMS XML DTD / Schema TADILs MTF Entity Class Table Class Element Message Message Attribute Attribute Field / Column Attribute Child Element or Element Attribute DFI FFIRN / FFN / FUDN Domain Value Instance, Value DUI FUD Equivalences:
  • 4. April 2004 4 Roles in Architecture System Functions Operational Nodes Physical Nodes Operational Activities Systems Standards Performance Data Information Technologies Notes: 1. Conceptual view of Core Architecture Data Model (CADM) [9] in DoDAF 1.0 [7] 2. ‘crows feet’ means ‘many’; on both ends means ‘many-to-many’ 3. All entities have recursive ‘many-to-many’ with themselves (not shown) Six important roles [9] adapted from [7]
  • 5. April 2004 5 Roles in Architecture (Reports) Adapted from [7] 1 {2} 1 {2} {3} {4} {5} {6} {7} {1} {2} {3} {4} {5} {6} {7} {8} {9} {10 } {11 } {1} {2} Operational Nodes Organizations, Types of Organizations, and Occupational Specialties Generalization & Composition Operational Activities (and Tasks) Composition Information Elements and Data Elements Generalization & Composition Physical Nodes Facilities, Platforms, Units, and Locations Generalization & Composition Systems Families-of-Systems, Systems-of- Systems, Networks, Applications, Generalization & Composition System Functions Composition Triggers / Events Generalization & Composition Performance Attributes Generalization & Composition Technical Standards Info Processing, Info Transfer, Data, Security, and Human Factors Generalization & Composition Technology Areas Systems and Standards Generalization & Composition = Taxonomy element plays a primary role = Secondary role blank = element not part of this datase TAXONOMY TYPES STRUCTURE APPLICABLE ARCHITECTURE DATA ELEMENT SETS AV Tech View (TV) System View (SV)Operational View (OV)
  • 6. April 2004 6 Roles in System Engineering Joint C m ds, Intel C ells and A D A ssets via their G C C S/ T B M C S System s A A D C SystemT D SA D A ssets L ink 11 L ink 16 C E C IT 21 Platform Provided SH F/JPN C ircuits SIPR N E T Platform Provided V oice C ircuits Joint A ir C oordination N et C om m and N et Joint Intelligence N et E arly W arning T M D N et Interface C oordination N et Platform T actical N ets A A D C T actical N etO n B oard O ff B oard K ey T A O A A W C SE SS G C C S/T B M C S Platform D ependent A E G IS PA C T H A A D H A W K C V C A P JF C JF A C C T A O C s A A M D C C R C JE C G R A D C s JIC O A D A s etc. A E G IS PA C T H A A D H A W K C V C A P Joint C om m ands & A D A ssets Platform C om m and Platform Provided JD N /JC T N C ircuits C U D IX A A D C T ac O ps A A D C Pln C ell T A D IX S O T C IX S D ata L ink C oord. N et T A C IN T E L N ets T rack Supervision N et V oice Product N et O ther N ets as required IEs Example from AADC System Spec. 3.3.1 TDS Interfaces (2) The AADC system shall be capable of interfacing with multiple TDS systems.including, but not limited to, AEGIS and Advanced Combat Decision System (ACDS). (U) The AADC system shall receive the TDS track file through an interface to the host TDS including: 2.1.1.1 Position 2.1.1.2 Velocity 2.1.1.3 Acceleration 2.1.2 PVA Confidence 2.1.3 Time 2.1.4 Identification 2.1.5 Threat Intentions 2.1.6 Attributes 2.1.7.1 ESM/ELINT 2.1.7.5 Navigation 2.1.7.6 Radar 2.1.7.7 EO/IR 7.1 Data Exchange Controls 7.2 Identification Management 7.3 Parametric Data Coordination 7.4 Correlation/Association Management 7.6 Reporting Coordination (V) The AADC system shall provide digital force orders to Air Defense assets over Link 11, Link 16 or CEC via the host TDS, depending on host TDS implementation of these functions, including: 5.1 Target Data; Offensive / Integrated Prioritized Target List 5.2 Surveillance/Sensor Plans 5.4 Communications Plans 5.7 Defensive/Force Protection 5.8 Movement 6.1 General Tasking 6.3 Tactical Orders 6.3.4 Direct Employment of Communications, Sensor, and Weapon 6.3.6 Engaging Unit/Target Dynamics 6.3.7 Third Party Targeting Data 6.3.8 Platform Resource Allocation 6.3.9 Tactical Order Responses
  • 7. April 2004 7 Role in Information Requirements Description (EEIs) 17 Jan 01 database 0 1000 2000 3000 4000 5000 6000 7000 8000 9000 10000 INDBInfoNeedsActions WMD StratSA SSC SpaceWar SAR Proliferation Political OOTW NEO Migration IntlCrime HumanAssist Health ForceMod Environ Economic D&D CounterTerror CounterNarc CounterIntel StratLift OvrSeasPresence & ForceProj InfoSuperiority FullD-Protect FocusedLog Deploy/Redeploy PrecisionEngage JSEAD DomManeuver ResultResult ASOC ATNDB CINA CINF Urban GIRH J2-USFK Navy CINC Worksheets Map Locate Track ... Identify ... Activity/Status ... Capability ... Intent ... Multi-INT Study EEI Sources (~3700) Map OB (Mobile) Infrastructure (Fixed) ... Geospatial ... Networks ... Political ... AnalysisAnalysis (based on comprehensive analysis of many EEI sources) From [15]
  • 8. April 2004 8 Create Multi-INT Information Needs database Existing EEIs Evaluate “knowledge matrix” Metric Devise Multi-INT Metrics for EEI satisfaction Existing EEIs Information Needs Database Document plus Evaluation Results Build Models Role in Systems Analysis Information Needs Database Document plus Evaluation Results Multi-INT Fusion Options Multi-INT Fusion Options Combat Outcome Metric From [15] ∆ Data ------------ ∆ C4ISR ∆ Knowledge ------------ ∆ Data ∆ C2 ------------ ∆ Knowledge ∆ Combat Outcome ------------ ∆ C2 ∆ Combat Outcome ------------ ∆ C4ISR =
  • 9. April 2004 9 Role in Capabilities Definition • JBMC2 -- what information? Object Categories Examples Location Movement Identify Status Activity Intent OOB Units, vehicles, sites, facilities, aircraft, ships, satellites lat/long spd/hdg country / alliance, type/class readiness targeting, reconitering COA Infrastructure Comm, power, transportation, water/sewer network, grid throughput, flow rates, amps name, part-of relationships BDA, op levels repair, broadcasts expansion plans Sociological Culture, religion, economic, ethnic, government, history, languages temples, historic structures relocations names and associations stability, vulnerabilities political or religious activities religious or political plans Geophysical Terrain, weather, climatology, oceanography, astrometry feature lat/long, alt/dpth flowraters, tides names sea and river levels, temperature storms, volcanos forecasts Information Categories and Examples Working papers from [14]
  • 10. April 2004 10 Example Service IE Taxonomy • Generalization to fundamental semantics allowed mapping across diverse representations such as: – TADILs – VMF – USMTF • Recognition of the equivalent or similar semantics in the differing representations would be a first step toward harmonization or mediation – A way to manage “isSimilarTo” [8] 11.8 - Kinematics 11.8.1 - Pos / Vel / Acc (PVA) 11.8.1.1 - Acceleration 11.8.1.1.1 - Angular 11.8.1.1.2 - Linear 11.8.1.2 - Estimate Type 11.8.1.2.1 - Estimated 11.8.1.2.2 - Observed 11.8.1.2.3 - Predicted 11.8.1.2.4 - Smoothed Data 11.8.1.3 - Position 11.8.1.3.1 - Bearing Angle 11.8.1.3.2 - Location; 2D Horizontal 11.8.1.3.3 - Vertical 11.8.1.4 - Velocity 11.8.1.4.1 - Horizontal 11.8.1.4.2 - Vertical 11.8.2 - PVA Confidence 11.8.2.1 - Bearing Angle 11.8.2.2 - Bearing Angle Rate 11.8.2.3 - Covariance Matrix 11.8.2.4 - Elevation 11.8.2.5 - Elevation Angle Rate 11.8.2.6 - Horizontal AOP 11.8.2.7 - Horizontal Circular 11.8.2.7.1 - TQ 11.8.2.8 - Range 11.8.2.9 - Vertical 11.4 - Classification 11.4.1 - Category 11.4.1.1 - Confidence Level 11.4.1.2 - Estimate Type 11.4.1.2.1 - Alternative 11.4.1.2.2 - Evaluated Decision 11.4.1.3 - Value 11.4.1.3.1 - Air 11.4.1.3.2 - Land 11.4.1.3.3 - Space 11.4.1.3.4 - Subsurface 11.4.1.3.5 - Surface 11.4.2 - Platform / Point / Feature Type 11.4.3 - Specific Type 11.4.4 - Type Modifier 11.4.5 - Unit –IBS –MIDB –C2 Core From [17] C4ISR INFORMATION ELEMENTS ACTION INFO MEASUREMENT INFORMATION SITUATION INFO SYSTEM INFO GEOPHYSICAL INFO PLATFORM / FAC / UNIT INFO Matching The data elements are equal Mapping The data elements are equivalent
  • 11. April 2004 11 Elements of Net-Centric Data Strategy Elements Goals COI Model(structure)Registry XMLRegistryDiscoveryServicesContentMetadataTransformationServices GIGPoliciesOntologies TaxonomiesPedigreeModelSecurityModelNCES Visible Accessible Governance Understandable Trusted Interoperable Responsive Derived from [2], [3], [4], [6], and [8]
  • 12. April 2004 12 A Spectrum of Data Mgmt • Coupling and deep integration • Ultra-high reliability • Irreversible sudden operational consequence • Human filtered • Mitigated by other information • Opportunity for correction LogCOP Weather ExamplesExamples CTP Working papers for [14] Automatic Carrier Landing System signals Self- destruct message data Fly-by-wire guidance system data
  • 13. April 2004 13 COI Topologies • Types of COIs – Expedient – Institutional – Functional – Cross-Functional – + others yet to be determined • COI Intersections From [3] Working papers for [14]
  • 14. April 2004 14 COIs and Architecture • COIs represent clustering of needs to share information by • Organizations • Types of organizations • Operational Roles • Occupational Specialties • Operational Activities or Tasks • System Functions • Systems • Physical Nodes • others? – The “means” by which they interact is the “grid” • In Architectures these would be clusters of: – Needlines (Op Nodes) – Activitylines (Op Activities / Tasks) – Functional Interfaces (System Functions) – System Interfaces “Op Nodes” Working papers for [14]
  • 15. April 2004 15 Lower Level (Reconcile - Map) Lower Level (Reconcile - Map) Top Level (Reconcile - Map) Top Level (Reconcile - Map) Mid Level (Bridge between Architecture, SoSE, Info. Rqmts and Implementation Design) Mid Level (Bridge between Architecture, SoSE, Info. Rqmts and Implementation Design) • JTAMDO IEs • Navy IEs • GIG Arch IEs • C2 FCB Arch IEs • SIAP IEs • INDB EEIs • etc. TADIL A/B/C/J C2 Core/JCDB/C2IEDM IBS JMCDM OTH-T Gold USIGS MIDB / GMI NS FDL VMF SHADE NATO Link-1 NID/Mer Ship DB ATDL-1 MEPEDS USMTF EPL/EWIR/NERF CEC etc. IEs Support Discovery and Understanding Human communication Broad audience Shorthand meaning child-parent can be: • is-a-part-of • is-a-type-of The middle looks like a taxonomy The middle looks like a taxonomy Machine communication Software Engineers only Explicit meaning
  • 16. April 2004 16 IEs Support Ontology Development • C2 Core [10] (C2IEDM [11] / JCDB) Concepts From [16]
  • 17. April 2004 17 Existing Databases: Modernized Integrated Data Base (MIDB) National source for order of battle, facilities, etc. EW Integrated Reprogramming (EWIR) Frequency, PRI, PW, etc. for all radars GCCS Shared Data Environment (SHADE) Commonly used reference data p/o Net-Centric metadata registry Military Characteristics and Performance data (MEPEDS) Technical data on ships, aircraft, etc. Joint Operations Planning and Evaluation System (JOPES) Planning data Status and Operational Readiness and Testing System (SORTS) Readiness data Common Cryptologic Data Base (CCDB) Frequency, carriers, nodes and links GCCS Track File (TBDM) From w hich COParises Message Standards: * Tactical Digital Information Link (TADIL) Standard for command and control Variable Message Format (VMF) Part of TADIL-J family United States Message Text Format (USMTF) Standard for planning messages Integrated Broadcast System (IBS) Standard for intelligence surveillance data FAAD Data Link Forw ard Area Air Defense data link CEC Datalink CEC Over the Horizon Targeting, Gold (OTH-T Gold) COPdatalink TACINTEL II Primary datalink for SIGINT systems IDS / IRS / ICD Interfaces betw een systems Data Standards: XML Registry Namespaces for Ground Ops, GMI, COP, etc. Defense Data Dictionary System (DDDS) Legacy registry p/o Net-Centric metadata registry Standard Models: Command and Control Core Data Model Data model used in JCDB and C2IEDM Joint METOC Conceptual Data Model Oceanographic and meterological Unmanned Aerial Vehicle / Joint Airborne Surveillance Architecture Datalinks for UAVs Defense Data Architecture models Funtional area models p/o Net-Centric metadata registry Visions and Architectures Fn / FCS / MC2C information requirements Future service architectures NCOW Ref Model ICOMS DoD level architecture IE - DE Mappings Support Mediation and Harmonization Management E xam ples for C 4IS R – N ot C om plete
  • 18. April 2004 18 IEs are a Tool for Object Semantics Mission Planning FinanceTransportation Desired_impact_point: Time_on_target: Lethality_characteristics: Applicable_aircraft: Size: Packaged_weight: Pick_up_location: Destination: Unit_cost: Number_required: Funding_program: Contract_number: Flight Planning Weight: Minimum_drop_altitude: Approach_type: Drop_angle: Drag_coefficient: Engineering Intended_target: Casing_thickness: Detonation_mechanism: Attachment_mechanism: Explosive_type: Ground Operations Attachment_time_required: Wing_placement: Assembly_instructions: Arming_instructions: What’s a bomb? (Answer – all) IEs provide tractable visibility and concurrence mechanisms, in context and in succeeding levels of detail in integrated architectures IEs provide tractable visibility and concurrence mechanisms, in context and in succeeding levels of detail in integrated architectures Adapted from MITRE Corp
  • 19. April 2004 19 Correct IERs Support Net Centric Data Management • IERs are defined as materiel independent descriptions of information sharing needs for operations Op Node that needs the information (org, org type, op role, occupational specialty) To do what (op activity, task, process, …) Op node that produces the info (org, org type, op role, occupational specialty) In the course of what (op activity, task, process, …) What kind of info (information element) With any special attributes? How fast? (timeliness) How secure? (security) How much? (size) How protected? (IA) How accurate? (accuracy) etc. IERs Do NOT Address Communications -- Point-to- Point, GIG, or otherwise IERs Do NOT Address Communications -- Point-to- Point, GIG, or otherwise
  • 20. April 2004 20 Summary • IEs support many elements of Net-Centric Data Strategy Net Centric Data Strategy Elements Information Elements COI Model(structure)Registry XMLRegistryDiscoveryServicesContentMetadataTransformationServices GIGPoliciesOntologies TaxonomiesPedigreeModelSecurityModelNCES Exchanges, Requirements, and Interfaces IE Taxonomies Data Element Mappings Exchange and Interface Attributes IE-Level Conceptual Models
  • 21. April 2004 21 References 1) “DoD Data Administration”, DODI 8320.1, OASD (NII) / DoD CIO, 26 Sept 1991 2) “Department of Defense Net-Centric Data Strategy”, OASD (NII) / DoD CIO, 20 April 2003 3) “Communities of Interest in the Net-Centric DoD Frequently Asked Questions (FAQ), Draft”, OASD (NII) / DoD CIO, 13 March 2004 4) “The DoD Net- Centric Data Strategy And Discovery & Mediation Enterprise Services”, briefing by OASD (NII) / DoD CIO, 3 Nov 2003 5) “DoD Net-Centric Data Management Strategy: Metadata Registration”, memorandum, OASD (NII) / DoD CIO, 3 April 2003 6) “Department of Defense Discovery Metadata Specification (DDMS), Version 1.0”, Deputy Assistant Secretary of Defense (Deputy Chief Information Officer), 29 September 2003 7) “Department of Defense Architecture Framework, Version 1.0”, OASD (NII) / DoD CIO, 9 Feb 2004 8) DoD XML Registry at http://diides.ncr.disa.mil/ 9) CADM documentation and model at https://pais.osd.mil/enterprisearchitectures) 10) C2 Core documentation and model at http://www-datadmn.itsi.disa.mil/datadmn/dda/c2core.html 11) C2IEDM documentation and model at Multilateral Interoperability Program: http://www.mip-site.org/ 12) Defense Data Architecture (DDA), documentation and models available at http://diides.ncr.disa.mil/ 13) Information Integration for Concurrent Engineering (IICE), IDEF5 Method Report, Armstrong Laboratory (AL/HRGA), Wright-Patterson Air Force Base, Ohio, 21 Sept 1994 14) Joint Battle Management Command and Control (JBMC2) Roadmap, OUSD (AT&L) / JFCOM, Feb 2004 15) Keithley, H., Multi-INT Fusion Performance, Joint C4ISR Decision Support Center, OASD(C3I), Washington, D.C., 2001 16) Ontology and Fusion (McDaniel, D., “Multi-Hypothesis Database for Large-Scale Data Fusion”, Proceedings of the Fifth International Conference on Information Fusion, International Society of Information Fusion, Sunnyvale, CA, 2002) 17) Naval C4ISR Operational Architecture, Space and Naval Warfare Systems Command (SPAWAR), 1997