NCOIC-NGA Demonstration of Demonstrations Dr. Brand Niemann Director and Senior Enterprise Architect – Data Scientist Semantic Community AOL Government Blogger May 7,

Overview 13 th Federal SOA for eGovernment Conference, April 3, MITRE McLean: – Mel Greer: Using the Cloud for Geospatial Interoperability NCOIC Cloud Computing Work Group, September 17, 2008 NCOIC Lab Interoperability Project, October 1, 2010 NGA Cloud Objectives and Request, December 15, 2011 Develop Information Needed by Participants to Propose Demonstration Capabilities, December 15, 2011 to present – Brand Niemann: Cross Information Sharing and Integration for the Intelligence Community History from 2008 to the present NIST Cloud Computing Business Use Cases (8) Working Group, February 11, 2011 (Kevin Jackson), and GeoEye Analytics: EarthWhere Spatial Data Management in the Cloud, March 1, 2011 (Jon Polay)GeoEye Analytics NCOIC-NGA Apps Demonstration (Haiti, NATO, OGC, etc. Data Sources) Design Principles of Federal Shared Services Strategy, CIA Expanded NIST Cloud Layers (6), and Ontology for Federation and Integration of Systems 2

Design Principles of Federal Shared Services Strategy Benefits: – 1 Standardization Uses Sitemap and Schema Protocols and a Web Oriented Architecture – 2 Visibility Puts GEOINT in hands of users – 3 Reusability Reuses content provides reusable content – 4 Platform Independence Exports standard data formats – 5 Extensibility Amazon Cloud is elastic – 6 Location Transparency Amazon Cloud with SLAs – 7 Reliability Amazon Cloud with SLAs Components: – 1 Requirements Director Long’s statements – 2 Workflow Steps for Building An App – 3 Data Exchange Federate with WOA and Dynamic Case Management – 4 Applications More functionality and data exchange than current systems – 5 Hosting Amazon Cloud’s SLAs – 6 Security and Privacy Amazon Cloud’s SLAs 3 Goal: Built Shared Services App That Meets or Exceeds These Benefits and Components

“Cloud Layers” Software-as-a-Service (SWaaS): – NIST: The consumer is free of any worries and hassles related to the service. Example: Salesforce Platform-as-a-Service (PaaS): – NIST: Develops, tests, deploys and manages applications hosted in a cloud environment. Example: Azure Infrastructure-as-a-Service (IaaS): – NIST: Virtual computers, cloud storage, network infrastructure components such as firewalls and configuration services. Example: Amazon Security-as-a-Service (SCaaS): – Gus Hunt, CIA CTO, March 6, Example: SonicWall Data-as-a-Service (DaaS): – Gus Hunt, CIA CTO, March 6, Example: Cloudera 4 Sources: andhttp://

A Quint - Cross Information Sharing and Integration App with Semantically Enhanced CIA World Fact Book 5

May 4, Chat Log Brand Niemann: Are we building something from scratch here or using existing cloud platform services and making them interoperable? Josh Lieberman: These are the specific geospatial data services which promote interoperability when deployed (using existing software) in a cloud environment. Brand Niemann: Yes, but I am still looking for how this demonstrates producing a set of maps for disaster relief within 24 hours and freeing up analysts time to do deeper analytics to support better decisions for disaster response. Roger Bernhardt: The problem is deeper than that, I propose. It is integrating disparate existing data and software environments, no? – My Comment: The general problem is and NGA has many software tools and projects doing that – our demonstration is to take those results and deliver a set of maps for disaster relief and free up the analysts time to do deeper analytics. Rex Brooks: Correct Roger, the point being that we have a wealth of interoperability features, provided the vendors we use implement standards, especially in emergency management situations. Josh Lieberman: We could have a compute cloud for this demonstration stood up tomorrow, but spend 6 months trying to extract good and relevant data from certain organizations. – My Comment: See my response below. Brand Niemann: It did not take me nearly that long to extract good and relevant data. Brand Niemann: We are way beyond web services now. Raj Singh: I'd like to hear more about the beyond web services idea Brand. Maybe next week. – My Comments: See next slides Rex Brooks: We should show them how much more quickly we can call up complex SPARQL queries and get high quality results back for use while the folks stuck in single message syndrome SQL fall behind. – My Comments: See next slides Brand Niemann: We are actually working on a Cray Graph Computer demo - stay tunned! Brand Niemann: We could easily do a demonstration of the demonstrations that already exist and how they could be made more interoperable! – My Comments: See next slides 6

Dynamic Case Management Initial MetaModel for NGA-Haiti Pilot 7 Disaster in Haiti Atlas of Maps for First RespondersNGA Intelligence Analyst Within 24 Hours Update Maps with On the Ground Information Maps Deeper Analytics Briefing for Seniors Next Briefing for SeniorsLessons Learned Note: The central types in the meta model presented here are the concept types that represent cases and the activities performed within cases. NGA Director Long’s requirements map directly to this MetaModel template!

Use a Systems of Systems Approach to Federate Content with a WOA Platform & Case Management 8

Kingsley Idehen Founder & CEO, OpenLink Software Do-It-Yourself Linked Data for the Data Scientist: – Linked Data and LOD Cloud integration via the likes of ODBC is now my prime focus. – See screenshot of a simple Spotfire file that's the result of a SPARQL Query over ODBC (via Virtuoso's ODBC Driver) that hits the Data.Gov.UK data space. – The SpotFire file holds the Table and Report that I derived from Data.Gov.UK data. – I'll be doing more demos in the coming days using Health.Data.Gov and others. 9

Kingsley Idehen Founder & CEO, OpenLink Software 10

My Understanding of the NGA Demonstration Is NotIsComment Providing Cloud Infrastructure Content Services for Disaster Relief NGA and NCOIC Made This Change “Leave Behinds”“Living” DemonstrationsNGA and NCOIC Made This Clarification Central NodeFederation of Cloud Content Services for Disaster Relief NGA and NCOIC Made This Change Standards DevelopmentInteroperability at WorkNGA and NCOIC Made This Clarification General Problem of Spatial Data Integration from Disparate Sources Delivering Maps and Deeper Analytics for Disaster Relief NGA and NCOIC Made This Clarification Development of New Tools and Content Use of Existing Tools and Content NGA and NCOIC Made This Clarification 11

Demonstration of Demonstrations Patterned after what I did: – Inventory of Cloud Tools that NGA and NCOIC Members Use: My example: Spotfire – Survey of Disaster Response Data Sources and Selection of a Representative Cross-Section for Past Disasters (e.g. Shape, KML, and Image): My example: Haiti and NATO – Delivery of Multiple Apps in a Cloud Library Using the Above Tools and Data Sources: My example: Seven Spotfire dashboards. 12