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NGA Demo Participant Collaboration

NGA Demo Participant Collaboration. Dr. Brand Niemann Director and Senior Enterprise Architect – Data Scientist Semantic Community http://semanticommunity.info/ AOL Government Blogger http://gov.aol.com/bloggers/brand-niemann/ March 16 , 2012. Suggestions for the NCOIC-NGA Demo.

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NGA Demo Participant Collaboration

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  1. NGA Demo Participant Collaboration Dr. Brand Niemann Director and Senior Enterprise Architect – Data Scientist Semantic Community http://semanticommunity.info/ AOL Government Blogger http://gov.aol.com/bloggers/brand-niemann/ March 16, 2012

  2. Suggestions for the NCOIC-NGA Demo • Get the NGA-NCOIC contract to see what the final wording is (Infrastructure Versus Content). • Prepare a table with NCOIC Member, POC, Interest in/Commitment to NGA Demo. • Prepare a schematic that shows how entries in table above could/would work together for an interoperable demo that addresses Federal Shared Services Design Principles (Six Benefits and Six Components).

  3. Overview • Separation of Concerns: • Business Speak • Technology Speak • Federal Shared Services: • What you have to share with others • What you want to build with others • NCOIC Collaboration: • Encourage collaboration between members to share information about capabilities and workflows that are under consideration for the demonstration • Webinars: Semantic Enterprise Apps Meet Big Data & Mobile Live @ Surf

  4. Separation of Concerns:Business Speak and Technology Speak

  5. Federal IT Dashboard as a Shared Service http://gov.aol.com/2012/03/14/put-federal-it-dashboard-into-motion/ http://semanticommunity.info/AOL_Government/Federal_IT_Dashboard_in_Motion

  6. Design Principles of Federal Shared Services Strategy • Benefits: • Standardization • Uses Sitemap and Schema Protocols and a Web Oriented Architecture • Visibility • This is a government wide catalog of IT investments that helps agencies discover existing services • Reusability • This is a government wide catalog of IT investments that helps agencies avoid duplication of services • Platform Independence • This platform imports many different data formats and makes data services that export the data in standard formats for reuse • Extensibility • The Amazon Cloud is elastic and so are the applications I used that are hosted there • Location Transparency • This is hosted in the Amazon Cloud with SLAs • Reliability • This is hosted in the Amazon Cloud with SLAs • Components: • 1 Requirements • I reproduced the requirements and functionality of the new Federal IT Dashboard • 2 Workflow • I made the business process of the new Federal IT Dashboard more complete by putting all the data in memory and the metadata in linked open data format • 3 Data Exchange • The application supports the data business processes needed • 4 Applications • The software and hardware provide more functionality and data exchange than the new Federal IT Dashboard • 5 Hosting • This is hosted in the Amazon Cloud with SLAs • 6 Security and Privacy • The applications used have received security certifications and this is hosted in the Amazon Cloud with SLAs that provide for security and privacy protections Built Shared Services App That Meets or Exceeds These Benefits and Components

  7. NATO Disaster ResponseOperations Dashboard Web Player

  8. Design Principles of Federal Shared Services Strategy • Benefits: • Standardization • Uses Sitemap and Schema Protocols and a Web Oriented Architecture • Visibility • Puts GEOINT in hands of users • Reusability • Reuses content provides reusable content • Platform Independence • Exports standard data formats • Extensibility • Amazon Cloud is elastic • Location Transparency • Amazon Cloud with SLAs • 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 Goal: Built Shared Services App That Meets or Exceeds These Benefits and Components

  9. Webinar: Semantic Enterprise Apps Meet Big Data & Mobile Live @ Surf • A Breakthrough in Programming Semantic Enterprise Applications Faster & Easier The Problem. • For most developers, building Scalable, Secure Semantic Enterprise Apps is not easy. It requires a steep, sophisticated learning curve into the world of Phd-speak that can take years to distill, sort out, evaluate and decide before building a thing. Architectural design errors carry heavy penalties later on when apps fail due to the wrong choice of critical components, like Inference Engines. • The Solution - OntoApp represents a Quantum Leap. • Whether you're upgrading your POC or building a new semantic app from scratch, OntoApp can leap you ahead with a solid flexible architecture that connects to just about any legacy and/or semantic environment. The coolest thing is that your entire app and its data all resides in a single file, the application ontology. Before OntoApp, developers had to constantly maintain their app whenever the underlying technology changed. A routine Windows/Linux or Java update could immediately break an Enterprise App, sending it back to developers for repair and servicing. • With OntoApp you do business faster, with fewer interruptions. You leverage a disruptive technology, to disrupt your market - integrating data faster, building and growing your business based on apps that generate and reuse smarter data. Compatible with modern W3C Semantic Web Standards for interoperability, freeing you from data silo lock-in. • SPECIAL Guest Speaker: Boris Bulanov, Director, Informatica • Solutions for Enhancing Semantic Data using Hadoop and hParser • Guest Speakers: Jean-Jacques Dubray, Canappi.com (My Note: Did not speak) • Mobile Meets SemWeb

  10. Introducing:OntoApp Platform

  11. Agenda

  12. Introduction

  13. Presenters

  14. What We Do

  15. App Data Growth

  16. App Change is the Norm

  17. Rules Drive Economies

  18. Result: Data Alignment Challenge

  19. Problem Summary

  20. The Problem:Tactical View for Developers & IT

  21. Traditional Coding Pain

  22. Semantic Web Coding Missed Screen Capture

  23. OntoApp Builds Apps Faster

  24. OntoApp Uncorks the IT Bottleneck

  25. The Solution

  26. Client Data Alignment Challenge

  27. Solution Strategy

  28. Step 1:Specify the UI & Data

  29. Step 2: Get a Common Knowledge Model

  30. Step 3: Access Your Connected Knowledge

  31. Step 4: Access Data with Ease & Speed

  32. Demo Application:Insurance Rating System

  33. MGA Rating & Policy Management App

  34. OntoApp Insurance Solution

  35. OntoApp Platform

  36. FacetNow Browserand OntoApp Platform

  37. FacetNow Browserand OntoApp Platform

  38. OntoApp Ontology Editorand OntoApp Platform

  39. FacetNow Browserand OntoApp Platform

  40. OntoApp Ontology Editorand OntoApp Platform

  41. Build Semantic Enterprise Apps Faster

  42. Critical Design Questions

  43. Inference Engine Landscape

  44. The Most Important Decision

  45. So Far 40 Possible Engines to Evaluate!

  46. Deliver Powerful Apps Faster

  47. Build Reliable Apps Faster

  48. Who Cares

  49. Why CIOs/Developers Will Love OntoApp

  50. Developer Benefits

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