™ Copyright ©2009 BBN Technologies Semantic BBN Application to the Digital Whitewater Challenge Mike Dean John Hebeler

™ Copyright ©2009 BBN Technologies 2 Outline  BBN Introduction  The Digital Whitewater Challenge  Applications  Future Directions

™ 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

™ Copyright ©2009 BBN Technologies History of Innovation 1950s Acoustic Design for UN General Assembly Hall AI Pattern Recognition Program 1960s 1 st Time Sharing Demonstration LOGO Programming Language ARPANET-First Multi-node Packet Switched Network 1970s 1 st Person-to- Person Network Sign for 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 1 st 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 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 for Net-Centric Data Sharing and Enterprise Web Services Microthunder Urban Environment Surveillance System Cognitive Agent Architecture - Cougaar Boomerang Acoustic Shooter Detection System Quantum Cryptographic Network

™ Copyright ©2009 BBN Technologies 5 Semantic BBN  Research –DARPA Agent Markup Language (DAML) –Geospatial –Prediction –Machine Learning  Tools –Parliament –Snoggle –Asio Scout TM  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 Innovation Loop

™ Copyright ©2009 BBN Technologies 6 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, , 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?

™ Copyright ©2009 BBN Technologies Semantic Web Application Lifecycle  Model Creation Ontology Development Mapping Sense Making  Steady State Identify Outliers Model Adaptation

™ 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

™ Copyright ©2009 BBN Technologies 9 Asio TM SOAP/ REST WS RDBMS Query Decomposition Query: SPARQL Data Access 3 Generation of Sub Queries 6 Query Result Set 5 Semantic Bridge Database Semantic Bridge Web Service Backwards Rule Chaining Snoggle Parliament Semantic Query Decomposition (SQD) Semantic Bridge SPARQL Endpoint Automapper

™ 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 10

™ Copyright ©2009 BBN Technologies Geospatial Semantics  Geospatial Semantic Web R&D program at NGA –Geospatial ontologies (including trade study)trade study –Geospatial indexing of knowledge bases –Semantic annotation of georegistered imagery  Active participation in –Spatial Ontology Community of Practice (SOCoP)Spatial Ontology Community of Practice (SOCoP) –Terra Cognita workshop seriesTerra Cognita –US Geospatial Intelligence Foundation (USGIF)US Geospatial Intelligence Foundation (USGIF) 11

™ 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 

™ 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

™ Copyright ©2009 BBN Technologies Knowledge Streams aggregation persistent queries persistent queries augmentation context filter context filter alerts correlation translation inference distribution DataSources Distribution And Processing Elements Users CEP NLP SensorNetwork Imagery RSS IM Gazetteer Sensor Semantic Web Database 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 Archive User 2 User 3 Community of Interest 1 Community of Interest 2 User 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” Catch the SemTech-2009 talk Thurs. 6/18 9:45-10:45am presented by Benjamin Grosof, Vulcan Inc.

™ Copyright ©2009 BBN Technologies  bbn.com bbn.com  asio.bbn.com asio.bbn.com  parliament.projects.semwebcentral.org parliament.projects.semwebcentral.org  iswc2009.semanticweb.org iswc2009.semanticweb.org For More Information