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Semantic Data Discovery: Proof of Concept for DHS

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Presentation on theme: "Semantic Data Discovery: Proof of Concept for DHS"— Presentation transcript:

1 Semantic Data Discovery: Proof of Concept for DHS
Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community March 25, 2015

2 Information Sharing at DHS
NIEM (Michael Daconta): XML Messages SOA (Wolf Tombe): XML Messages and XML Data in an ESB Semantic Ontology (Barry Smith): RDF/OWL UCore Semantic Knowledge Bases (Brand Niemann): NIEM and NIEM and Thetus Savana Semantic Search Data Browser (Brand Niemann) Global Terrorism Database Experience Semantic Quint Dynamic Case Management (Brand Niemann): XML/RDF/OWL/RML in Be Informed

3 NIEM as Big Data in a Network with Data Science
MindTouch Knowledge Base: NIEM Spotfire Dashboard: Web Player

4 NIEM 3.0 Alpha 2 Release and Thetus Savanna Review
Key Questions: How can one review NIEM 3.0 Alpha 2 without some data science analytics? Does Thetus Savanna do what NIEM is ultimately trying to accomplish without NIEM 3.0? MindTouch Knowledge Base: NIEM and Thetus Spotfire Dashboard: Web Player

5 NIEM and UCore 2.0 Semantic Layer for Information Sharing
MindTouch Knowledge Base: Universal Core Semantic Layer Spotfire Dashboard:  Web Player

6 Global Terrorism Database Experience
Pilot for Stephen Dennis, Director, Innovation, Homeland Security Advanced Research Projects Agency (HSARPA), Department of Homeland Security (DHS), “Big Data Analytics for Homeland Security” MindTouch Knowledge Base: Global Terrorism Database Spotfire Dashboard: Web Player

7 A Quint for Cross Information Sharing and Integration in the Intelligence Community
MindTouch Knowledge Base: A Quint-Cross Information Sharing and Integration Spotfire Dashboard:  Web Player

8 Dynamic Case Management Pilot for Healthcare.gov
Video Demo: Vimeo MindTouch Knowledge Base: Healthcare.gov Data Science

9 Proof of Concept Steps Introduction: Phase I: Phase II: Phase III:
Best practice system example with data dictionary (DD) and Application Programming Interface (API) Challenge all systems to do that and submit for internal web page Phase I: All systems gain experience using internal web page for improved information sharing Initial work on semantic harmonization for multiple DDs Phase II: Develop various semantic harmonization methods and tools (e.g. ontology) Pilot those methods and tools (Dynamic Case Management – Be Informed?) Phase III: Develop requirements for improved information sharing system based on Phase I and II experience Release RFI for RFQ

10 Semantic Community Former Senior Enterprise Architect & Data Scientist with the US EPA. Led Federal CIO Council Web Services, SOA (with Mitre), Semantic Interoperability, and Semantic Community Work. Founded and Co-organize the Federal Big Data Working Group Meetup to Continue the Above as a Private Citizen. Helping Government Agencies (US, Europe, and Japanese) Develop Data Scientists/Chief Data Officers, Data Infrastructure, and Data Publications. Providing MOOCS/Meetups for Training and Networking.


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