Transcript NCOICBimsonSirmons08062006

Case Study: Deploying an Ontology-Based
Enterprise Information Integration Solution
at the USAF 45th Space Wing
Dr. Kent D. Bimson, Bimson Consulting
Mr. Richard Sirmons, USAF 45 RMS/RMRC
Network Centric Operations Industry Consortium*
August 1, 2006
*Based on Presentation at
Semantic Technology Conference
March 7, 2006
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Contact Information
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Mark Wallace, Modus Operandi
[email protected]
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Alan McCutchen, Modus Operandi
[email protected]
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Dr. Perakath Benjamin, KBSI
[email protected]
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Dr. Renato Levy, IAI and Dr. Lenny Haynes, President, IAI
[email protected]
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[email protected]
Richard Thiebauth, USAF 45RMS/RMRC
[email protected]
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Gary Tupper, Scitor
[email protected]
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Dr. Kent Bimson, Bimson Consulting
[email protected] 321 223-9751
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Contents
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Problem
Vision
Strategy
Approach
Funding
Architecture
Applications
Ontology Development Process Overview
Ontology Life Cycle Management Overview
Way Ahead
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Problem:
The Fragmented Enterprise
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Problem: Information Sharing Today
KSC
Florida Space
Authority
DELTA IV
30 SW
Navy
Down range
sites
Commercial
Users
Delta II
Other
Agencies
RTSC
45 SW
LOSC
JBOSC
SMC/RNP
HQ AFSPC
SLRSC
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ATLAS V
CSSC
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Spacecraft
users
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Result: Fragmented Range Picture
 Many obstacles to information access, integration and sharing
 Different owners and agendas
 Incompatible formats
 Different identifiers
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 Stored in many locations
 Structured and unstructured
 Different naming conventions
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Vision:
Single Integrated Range Picture
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Vision
The Five Rights
Integrating and sharing information from multiple sources
to deliver the right information to the right person at the
right time in the right form to make the right decision
Single Integrated
Range Picture
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Shrink-Wrapped Solutions Do Not Exist!
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Strategy and Team:
Knowledge Management Initiative
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Strategy: Three Legs of KMI
Knowledge Management Framework
Technical integration infrastructure
Knowledge Management
Initiative
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Strategy Description
1. COI: gaining access to data and agreement on term definitions
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Community of Interest for Space Launch & Range Operations
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Teamwork in technology, application development, deployment
2. KMF: building infrastructure for data integration & sharing
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Integrates distributed structured and unstructured information
using an ontology, based on MO Wave and BEA AquaLogic DS
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In use at the USAF 45th Space Wing
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Provides integrated data to new/existing applications to form Single
Integrated Range Picture (SIRP)
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Being extended to support Ontology Life Cycle Management in the
Ranger SBIR (Modus Operandi) and ODIF SBIR (KBSI)
3. SIRP: creating Single Integrated Range Picture applications
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Applications that deliver KMF-integrated data to diverse users
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Use the KMF to access unified structured/unstructured information
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Technical Team: Roles and Responsibilities
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 KMI/KMF and SIRP Apps, funding
 SBIR funding
 SBIR funding
 KMF (Wave & BEA) ontology-based
EII Ontology life cycle mgmt
Shark C2 System
Knowledge Based Systems, Inc.  Ontology-driven search
Text mining for concepts/relations
Intelligent Automation, Inc.
 Ontology-based scheduling engines
Ontology-driven agent-based system
Scitor, Inc.
 Management & ontology support
Space Coast Launch Services
 Deployment, applications, admin
Computer Sciences Raytheon
 Applications
Bimson Consulting
 KMI strategy, SBIR consulting
Ontology development and training
USAF 45th Space Wing
Missile Defense Agency
Air Force Research Lab
Modus Operandi, Inc.
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Technical Approach:
Knowledge Management Framework
& SIRP Applications
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KMF and SIRP Appllications
Launch
Facilities
Database
KMF: Accesses Related Data
Weather
Alerts
Vehicle
Processin
g
Database
KMF: Integrates Related Data
KMF
SIRP Applications: Present Integrated Data
Airfield
Status
Schedule
Database
Knowledge Management Framework and SIRP Applications
provide a Single Integrated Range Picture
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Building KMF and Applications
2 MDA SBIRs building KMF
for unstructured data
Complete: Jun 07
Applications: USAF 45SW, AFRL and MDA
Delivery Feb 06 to May 07
Shark Command and Control System (SC2S)
Airfield Operations support
Range Instrumentation Status Display
KMF
Range system SITREP generation
ODIF MDA SBIR: Ontology-driven text search
Star Gate AFRL SBIR: Ontology-driven schedule
integration and schedule engine generation
2 AFRL SBIRs building
KMF for structured data
Complete: Apr 06
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Wave search and browse tools
Wave ontology LCM tools: Ranger MDA SBIR
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SIRP Application Description
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Example domain-specific applications include:
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Shark Command and Control System (SC2S): Wing Operations
Center application for battlestaff using WebEOC integrated with
KMF (Modus Operandi and SCLS-early deployment)
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Range Instrumentation Status Display: status of instrumentation
during launch countdown (CSR-early deployment)
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StarGate SBIR: agent-based, ontology-driven schedule generation
engine (IAI-in development)
Example general applications include:
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ODIF SBIR: ontology-directed search and concept mining (KBSI-in
development)
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Wave Search: search through structured and unstructured data
(MO-early deployment)
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Wave View: springy-graph ontology browsing of integrated data
(MO-early deployment)
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Ranger: ontology life cycle management tools (MO-in development)
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Funding:
Leveraging SBIR Programs
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KMI Funding: Leveraging SBIR Programs
2 MDA SBIRs building KMF
for unstructured data
Complete: Jun 07
Applications: USAF 45SW, AFRL and MDA
Shark Command and Control System (SC2S)
Airfield Operations support: Jan 06
Range Instrumentation Status Display
KMF
Range system SITREP generation: Jan 06
ODIF MDA SBIR: Ontology-driven text search
StarGate AFRL SBIR: Ontology-driven schedule
integration and schedule engine generation
2 AFRL SBIRs building
KMF for structured data
Complete: Apr 06
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Wave search and browse tools: Mar 06
Wave ontology LCM tools: Ranger MDA SBIR
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KMF Architecture:
Wave Ontology-Based EII Platform
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KMF Architecture: MO Wave & BEA ALDS
Applications
Shark C2 System
ODIF
StarGate
Wave View & Search
Ontology Life-Cycle Management
© 2006 Modus Operandi, Inc.
Used by permission
…
Ontology-Driven Web Services
*** Ranger Phase II ***
BEA AquaLogic Data Services Platform
Structured / Unstructured Data ►
DB
DB
Wave Unstructured Data
Index, Search, Access
BEA WebLogic Server
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OWL DL Reasoners
DB
XML
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XML
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SIRP Applications:
Analyzing Integrated Information
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Shark C2 System, SITREP and RISD
Range Instrumentation
Status Display and
Situation Report
(SITREP) generation
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SC2S leverages COTS
product (WebEOC) as basis
for improved information
support to WOC
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ODIF Ontology Search & Concept Mining
Protégé ontology used to drive ODIF search
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StarGate Agent-Based Scheduling
configurable Gant
chart area
select resources by
type
quick info
list of resources
detail information
about a resource
allocation
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StarGate: Querying for an Operation
Enter the Operation Number
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StarGate: Results
Operation status
Cannot change, but view
Customer/ ODType/
Annex or AOP
Can however change
dates, request additional
resources
Original schedule
History
User can scrub, re-schedule,
or cancel an operation; Or
update to indicate completed
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ODIF Search Results
© 2006 KBSI
Used by permission
Click histogram to
drill down to
document & section
Source documents
selected for search
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Target documents
selected to search
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Results: best (100) to
worst matches
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Rave (MS Project Plug-in)
Uses KMF to integrate
schedules in different
formats to feed MS Project
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WaveSearch
Searches databases
and documents
simultaneously
© 2006 Modus Operandi, Inc.
Used by permission
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Browse from instance
data in one class
to related instance data
in another
WaveView
View integrated
instance data
Browse ontology
classes & relations
© 2006 Modus Operandi, Inc.
Used by permission
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WaveConsole
View
models
View data
services
Generate
test
queries
View
Results
© 2006 Modus Operandi, Inc.
Used by permission
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Development Process Overview*:
Deploying Ontology-Based EII Solutions
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* Reference: Wave
BimsonGetting
& Sirmons Started Guide, Modus Operandi, Inc.34
Wave Ontology-Based EII Development*
Create an ontology (OWL)
Use ontology to
access distributed
information via
web services
Map to data
& document
sources
Revise model
& mappings
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* Reference: Wave Getting
Started
Guide, Modus Operandi, Inc.
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Wave Ontology-Based EII Development
Modify ontology
Facility
contains
Equipment
containedIn
Use ontology to access
NEW & OLD distributed
information via
web services
Add, delete
& modify
Information sources
Revise again
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Wave Ontology-Based EII Development Steps
Ontology Engineering
A. Create OWL ontology in Protégé
B. Create a BEA Workshop application for the ontology
C. Import ontology into BEA AquaLogic
D. Create physical data services
E. Map relationship functions and deploy
Ontology EII
Deployment
F. Configure the Wave Platform
G. Verify that the ontology is deployed
H. Search ontology using Wave Search application
I. Make changes to ontology and re-deploy
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Wave Ontology-Based EII Development Steps
 KMF uses Wave/BEA for mapping ontologies
to legacy data and deploying EII solution
 Ontology \life cycle management process is
iterative and complex (ref: last section)
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Multiple tools: Protégé, BEA, Wave
Each step has multiple sub-steps
Round-trip engineering increases complexity
Experience and training is needed
 Ranger & ODIF projects are simplifying OLCM
with better round-trip engineering tools
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Beyond Ontology Engineering:
Ontology Life Cycle Management
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Hard Ontology Life Cycle Questions
Ontology
Maintenance
How do I manage
ontology
evolution, add
new data, and
maintain
consistency?
Exchange
Standard
Generation
Data
Discovery
What data do I
need to integrate
and what does it
look like?
How do I generate
an XML or
standards-based
representation for
other tools to use?
Web
Deployment
How do I deploy
the integrated
data in a useful
way over the
web?
Ontology Design
& Generation
Where do I start
in designing the
ontology…can I
automatically
generate one?
Can I compare
the data
between
databases to see
what fits the
ontology best?
How do I verify
that my ontology
reflects the data?
Where are the
inconsistencies?
How do I map
these databases
to the ontology
and persist the
mappings?
Comparative
Analysis
Database-toModel Mapping &
Persistence
Model
Verification
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OLCM Process Address Hard Questions
Ontology
Maintenance
Exchange
Standard
Generation
Web
Deployment
Data
Discovery
Ontology Design
& Generation
Ontology Life Cycle
Management (OLCM):
Modeling Process
Comparative
Analysis
 Treats ontology development as a life
cycle management challenge
 Helps modelers manage the
Database-tocomplexities of OLCM
Model Mapping &
 Focuses on answering the hard
Persistence
questions
Model
Verification
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Roadmap:
The Way Ahead
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The Way Ahead
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Operationalize the use of KMF and SIRP applications
Extend the ontology to new data sources
Develop new SIRP applications
Partner with AFRL, MDA, the 45th Space Wing for
additional SBIR awards and technologies
 Extend Space Launch & Range Operations COI
 Partner with other companies for new technologies
 Provide technology training
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