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Copyright ©2009 BBN Technologies
Semantic Web @ BBNApplication to the
Digital Whitewater Challenge
Mike [email protected]
John [email protected]
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Copyright ©2009 BBN Technologies2
Outline
BBN Introduction
The Digital Whitewater Challenge
Applications
Future Directions
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Copyright ©2009 BBN Technologies
BBN Technologies Overview
An advanced technology research and development firm, specializing in Information, Computer, & Physical Sciences
Known for technical excellence and challenging conventions to provide new and fundamentally better solutions to complex technical problems
Providing effective, real-world solutions and satisfying our customers and have been key to our success for over 60 years
Our staff consists of ~800 professionals • 2/3 with advanced degrees
We maintain principal offices in Cambridge, MA and the Washington, DC area
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Copyright ©2009 BBN Technologies
History of Innovation
1950s
Acoustic Design for UN General Assembly Hall
AI Pattern Recognition
Program
1960s
1st Time Sharing Demonstration
LOGO Programming
Language
ARPANET-First Multi-node Packet Switched Network
1970s
1st Person-to-Person Network
@ Sign for Email Addresses
Acoustic analysis of JFK
Assassination Tapes
Analysis of Nixon Watergate Tapes
First Symmetric Multi-processor
First TCP for UNIX
KL-ONE Knowledge
Representation System
1980s
1st Electronic Mail
Defense Data Network
National Science Foundation
Network (NSFNET)
Natural Language Computer Interface
Intelligent Agents
SimNet
Collaboration Planning
Technology
Cronus Distributed Computing
Environment
1990s
Secure email for DoD
Multi-Gigabit Router
DARPA Information Assurance
Broadband Wireless Technology
Genetic Algorithm Scheduling Tools
Collaborative Planning for Desert
Storm
ATM Switch
40K Word Speech Recognition System
Logistics Anchor Desk deployed for
Bosnia
Safekeyper Certificate Management
Certification Authority Workstation (CAW)
2000s
Call Director Natural Language
Routing
Semantic Web – OWL, SWRL,
OWL-S
Asio tools forNet-Centric Data
Sharing and Enterprise Web
Services
Microthunder Urban
Environment Surveillance
System
Cognitive Agent Architecture -
Cougaar
Boomerang Acoustic Shooter Detection System
Quantum Cryptographic
Network
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Copyright ©2009 BBN Technologies5
Semantic Web @ BBN
Research– DARPA Agent Markup Language (DAML)
– Geospatial
– Prediction
– Machine Learning
Tools– Parliament
– Snoggle
– Asio ScoutTM
Collaboration– semwebcentral.org
– Peer-reviewed papers, conference sponsorship, and books...
– Working groups
Applications– Broad range of government and commercial applications
from research explorations to production deployment
InnovationLoop
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Copyright ©2009 BBN Technologies6
The Digital Whitewater Challenge
Volume– ~ 8 exabytes/month
– AT&T alone – 18 petabytes/day
– youtube alone is now more than all Internet traffic in 2000
Variety– Modes: 40% video
– Formats: IM, Email, Blogs, XML,
– Places: MySpace, Facebook, Second Life, Darkweb...
– Trillion unique URLs
– Fractal – Laptop, Enterprise, WWW
Velocity
– 38 minutes to find one document
– 10 second lead worth millions/lives
BUT...
– Is it true?
– Is it useful?
– Can you find it in time?
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Copyright ©2009 BBN Technologies
Semantic Web Application Lifecycle
Model Creation• Ontology
Development
• Mapping
• Sense Making
Steady State• Identify Outliers
• Model Adaptation
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Copyright ©2009 BBN Technologies
Data Integration
Many of our applications focus on some aspect of data integration• Diverse databases, web services• Combining structured and unstructured
information (RDF encoding of natural language processing output)
• Translation between ontologies using SWRL plays a key role in many of our solutions
• Presentations at SemTech 2007 and 2008
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Copyright ©2009 BBN Technologies9
AsioTM
SOAP/
RESTWS
WSDL
WSDLOntology
OWL
Mapping Ontology
OWL
SWRL Rules
RDBMS
Domain Source Ontology
OWL
QueryDecomposition
Query: SPARQL1
2
4 Data Access
3 Generation ofSub Queries
6Query Result Set
5
Data Source Ontology
OWL
Data Source Ontology
OWL
Semantic BridgeDatabase
Semantic BridgeWeb Service
BackwardsRule Chaining
Snoggle
Parliament
Semantic Query Decomposition (SQD)
Semantic BridgeSPARQL Endpoint
Automapper
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Copyright ©2009 BBN Technologies
Entity Disambiguation
Co-reference resolution among multiple incomplete data sets
• Which of 500 references to John Smith refer to the same person?
Scalable use of owl:sameAs and owl:differentFrom
Automated or semi-automated
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Copyright ©2009 BBN Technologies
Geospatial Semantics
Geospatial Semantic Web R&D program at NGA– Geospatial ontologies (including trade study)– Geospatial indexing of knowledge bases– Semantic annotation of georegistered imagery
Active participation in– Spatial Ontology Community of Practice
(SOCoP)– Terra Cognita workshop series– US Geospatial Intelligence Foundation (USGIF)
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Copyright ©2009 BBN Technologies
Parliament
Memory-mapped embedded triple store
• Descended from DAML DB
• Used in most BBN projects
• Soon to be released as open source
http://parliament.projects.semwebcentral.org
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Copyright ©2009 BBN Technologies
Dynamic Data Visualization
Challenge: Improve our ability to identify patterns, relationships, and exceptions in large, complex data sets
Solution: Capitalize on the innate ability of people to discern motion to highlight patterns, relationships, and exceptions
Results: Enables users to identify and uncover important clues and patterns buried in complex, multi-dimensional data
Applications: Intelligence, epidemiology, public safety,medical imaging, fraud detection
Complex Data Visualization and Analysis
Scatterplotvictim vs. cityScatterplot
victim vs. city
Event distribution in spaceEvent distribution in space Active Timeline HistogramActive Timeline Histogram
Highlightedevents
move in alldisplays
Highlightedevents
move in alldisplays
Scatterplotvictim vs. cityScatterplot
victim vs. city
Event distribution in spaceEvent distribution in space Active Timeline HistogramActive Timeline Histogram
Highlightedevents
move in alldisplays
Highlightedevents
move in alldisplays
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Copyright ©2009 BBN Technologies
Knowledge Streams
aggregationaggregation
persistentqueries
persistentqueries
augmentationaugmentationcontextfilter
contextfilter
alertsalerts
correlationcorrelationtranslationtranslation
inferenceinference
distributiondistribution
DataDataSourcesSources
Distribution And Processing ElementsDistribution And Processing Elements
UsersUsers
CEPCEPNLPNLP
Sensor Sensor NetworkNetwork
ImageryImagery
RSSRSS
IMIM
GazetteerGazetteer
SensorSensor
Semantic Semantic WebWeb
DatabaseDatabase
Persistent pipelines• Streams of statements comprising
object subgraphs• URI naming allows drill-down
• Provenance, timestamps
Processing elements •Consume and produce subgraphs •Multiple functions may be combined
ArchiveArchive
User 2User 2
User 3User 3
Community of Interest 1
Community of Interest 2
User 1User 1
A new, highly ambitious effort by Vulcan Inc., which also develops Semantic MediaWiki+ and venture invests in sem tech. Multi-institutional.
Addresses fundamental requirements for scaling Semantic Web to widely-authored Very Large KBs in business and science that answer questions, proactively supply info, and reason powerfully.
A knowledge representation (KR) system: reasoner, language, UI, interchange.
Radically extends the KR power of W3C OWL, SPARQL, and RIF – and of SQL
Defaults and robust conflict handling – cope with knowledge quality and context
Higher-order and flexible meta-reasoning – elevate meta-data to meta-knowledge
Actions and events, cf. production rules and process models – activate knowledge
Use cases in business policies, ontology mapping, e-commerce, biomed.
Redefining the KR playing field for semantic web, business rules, and rule-based process management.
How You can be Involved:
In ~ fall 2009: try out SILK software; comment on SILK language design
Visit the SILK webpage, subscribe to (rare) announcements, cooperate in other ways
“Semantic Rules Take the Next Big Step in Power”
http://silk.projects.semwebcentral.org
Catch the SemTech-2009 talk Thurs. 6/18 9:45-10:45am
presented by Benjamin Grosof, Vulcan Inc.