nga demo participant collaboration
DESCRIPTION
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 23, 2012, and April 2, 2012. - PowerPoint PPT PresentationTRANSCRIPT
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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 23, 2012, and April 2, 2012
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March 23, 2012, Conference Call• OMG Meeting of Cloud Standards Customer Council:
– http://semanticommunity.info/AOL_Government/GSA_and_NIST_Need_the_Cloud_Standards_Customer_Council_to_Build_Trust_Between_Providers_and_Suppliers
• Geospatial Platform Key Documents:– http
://semanticommunity.info/Data.gov/GEOViewer/Geospatial_Platform_Key_Documents
• OGC Knowledgebase:– http
://semanticommunity.info/A_Quint-Cross_Information_Sharing_and_Integration/Open_Geospatial_Consortium
• Spreadsheet with OGC Knowledgebase and Haiti Data Sources:– http://semanticommunity.info/@api/deki/files/17585/=NCOICNGAOGC.xlsx
• Haiti Spatial Data:– http://geocommons.com/search?mh_query=haiti
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OMG Cloud Standards Customer Council Meeting
http://www.cloudstandardscustomercouncil.org/March2012/agenda-pr.htm
Kevin Jackson’sPresentation
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OMG Cloud Standards Customer Council Meeting
• Network Centric Operations Industry Consortium (NCOIC), Kevin Jackson, Chairman, NCOIC Cloud Computing Working Group:– NCOIC, A Global Industry Consortium– NCOIC Cloud Computing Working Group Charter– Lab Interoperability Project– Purpose– Cloud Computing Experiments– NGA Objectives– NGA User Scenario– NGA Request– NCOIC Member Participation– GITT Proposal– GITT Subgroups– Operational Viewpoint Community Cloud – Operational View Nodes and Roles– Current Status
http://www.cloudstandardscustomercouncil.org/March2012/Presentations/PDFs/jackson.pdf
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OMG Government DTF Meetings
http://semanticommunity.info/AOL_Government/A_Plan_for_Scaling_NIEM_to_Big_Data#Government_DTF_Agenda
My Presentation
13:00 – 17:30 Semantics and Ontologies for the Intelligence Community – Working toward Standards
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Semantics and Ontologies for the Intelligence Community – Working toward Standards Meeting
http://semanticommunity.info/AOL_Government/Semantics_and_Ontologies_for_the_Intelligence_Community_Working_Toward_Standards
Joe Rockmore Presentation on Data Integration
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Joe Rockmore Presentationon Data Integration
• Paradigm Shifts in the IC:– Ontology/ Data Model Then, and Knowledge Base
Now.– Search, Retrieve, Extract, and Analyze Then, Versus
Search, Facts, Analyze Facts, and Retrieve Data and Documents if Needed Now.
– Data Conditioned and Correlated (ETL) Then, Versus Data Integrated and Enhanced Now (Enhancements).
– Estimate 160M pieces of intelligence a day.
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Digital Reasoning SynthesysCloud Beta
• Mining (for people, places, and things) the Social Web, O'Reilly Books.
• Training Resources: API and Peruna Tutorials:– https://www.synthesyscloud.com/docs/training/
• GeoLocator from Digital Reasoning is a precision-based tool that will extract countries and populated places from unstructured text, while providing their respective geo-coordinates.
• Interceptor allows you the ability to look through all of your data rapidly and easily discover what is inside.
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Catalyst Entity Extraction and Disambiguation Study Functions
• Entity Extraction: MindTouch• Relationship Extraction: MindTouch• Semantic Integration: MindTouch, Excel, and Spotfire• Entity Disambiguation: MindTouch• Knowledge Base: MindTouch, Excel, and Spotfire• Visualization: Spotfire• Query: MindTouch and Spotfire• Analysis: Spotfire• Ontology/Data Model: Be Informed• Reference Data: MindTouch
My Example: CIA World Fact Book
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NCOIC March 26 and 30
• Collaboration:– NCOIC Member Inventory (did OGC first – see below)– OGC Knowledgebase (found GeoCommons for Haiti – see
below)• Use Cases and Data– GeoCommons for Haiti (new in April 19th dashboard)– Mining the Social Web During Disasters Has Become a Very
Important Source of Data!• Architecture– Catalyst Entity Extraction and Disambiguation Study Final
Report
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Red Cross Social Media Command Center
http://www.networkworld.com/news/2012/030812-dell-powers-red-cross-social-257082.html?source=NWWNLE_nlt_daily_am_2012-03-09
Terry Morgan, March 9th
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GeoCommons for Haiti
http://semanticommunity.info/@api/deki/files/17585/=NCOICNGAOGC.xlsx
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Updated Dashboard of Map, Metadata, and Knowledgebases
Web Player
Note: This dashboard is for both theon-the-ground responder and theintelligence analysts.The on-the-ground responder canannotate the number of personssent to hospitals and the intelligenceanalysts can update the data set andperform deeper analytics to helpadvise the officials on how to respond.
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Updated Dashboard of Map, Metadata, and Knowledgebases
Web Player
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Recorded Future: Knowledgebase
http://semanticommunity.info/A_Quint-Cross_Information_Sharing_and_Integration#Recorded_Future
.
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Timeline Image ShowingJust the Momentum Curve
Shows how the intensity of coverage trailed off but didn't entirely die out even several months after the earthquake.
Recorded Future’s social data coverageis not so strong that far back so I asked that they look at blogs
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Timeline Image Including Event Icons
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Data Set That Includes Coverage from Sources Considered to be Blogs or Niche
http://semanticommunity.info/@api/deki/files/17712/=HaitiEarthquakeBlogandNiche-RecordedFuture03282012.xlsx
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Recorded Future Spotfire:Haiti Disaster
Web Player
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Recorded Future Timeline:Haiti Disaster
Live Visualization Here
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Recorded Future Source Maps:Haiti Disaster
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Recorded Future Network:Haiti Disaster
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Recorded Future Earth:Haiti Disaster