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NGA Demo Participant Collaboration

Dr. Brand NiemannDirector and Senior Enterprise Architect – Data Scientist

Semantic Communityhttp://semanticommunity.info/

AOL Government Bloggerhttp://gov.aol.com/bloggers/brand-niemann/

March 16, 2012

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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).

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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

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Separation of Concerns:Business Speak and Technology Speak

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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

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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 protectionsBuilt Shared Services App That Meets or Exceeds These Benefits and Components

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NATO Disaster ResponseOperations Dashboard

Web Player

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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 SLAsGoal: Built Shared Services App That Meets or Exceeds These Benefits and Components

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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

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Introducing:OntoApp Platform

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Agenda

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Introduction

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Presenters

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What We Do

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App Data Growth

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App Change is the Norm

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Rules Drive Economies

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Result: Data Alignment Challenge

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Problem Summary

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The Problem:Tactical View for Developers & IT

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Traditional Coding Pain

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Semantic Web Coding

Missed Screen Capture

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OntoApp Builds Apps Faster

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OntoApp Uncorks the IT Bottleneck

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The Solution

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Client Data Alignment Challenge

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Solution Strategy

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Step 1:Specify the UI & Data

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Step 2: Get a Common Knowledge Model

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Step 3: Access Your Connected Knowledge

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Step 4: Access Data with Ease & Speed

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Demo Application:Insurance Rating System

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MGA Rating & Policy Management App

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OntoApp Insurance Solution

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OntoApp Platform

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FacetNow Browserand OntoApp Platform

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FacetNow Browserand OntoApp Platform

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OntoApp Ontology Editorand OntoApp Platform

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FacetNow Browserand OntoApp Platform

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OntoApp Ontology Editorand OntoApp Platform

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Build Semantic Enterprise Apps Faster

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Critical Design Questions

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Inference Engine Landscape

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The Most Important Decision

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So Far 40 Possible Engines to Evaluate!

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Deliver Powerful Apps Faster

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Build Reliable Apps Faster

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Who Cares

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Why CIOs/Developers Will Love OntoApp

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Developer Benefits

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Build Enterprise Apps Faster

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Boris BulanovDirector, Informatica

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Why “Big Data” Now?:Exploding Data Volumes

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What’s Happening?Explosive Growth of Data – Volume, Variety, Velocity

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The Merger Between Structured and Unstructured Data

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Parse and Prepare Data on Hadoop

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Sample Real-World Scenarios

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HParser Tutorial

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Hparser Demo

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Real-World Data

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Enterprise Data Management: Future State

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Informatica HParser