21 February 2006 Semantic Interoperability Architecture Geospatial Context 1 Semantic Interoperability at Work: Improving Rapid First Response What Does.

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Presentation transcript:

21 February 2006 Semantic Interoperability Architecture Geospatial Context 1 Semantic Interoperability at Work: Improving Rapid First Response What Does Semantic Interoperability Mean in Geospatial Context?

21 February 2006 Semantic Interoperability Architecture Geospatial Context 2 Semantic Interoperability at Work: Improving Rapid First Response Interoperability Means Teamwork

21 February 2006 Semantic Interoperability Architecture Geospatial Context 3 Semantic Interoperability at Work: Rapid Response-Geospatial Context

21 February 2006 Semantic Interoperability Architecture Geospatial Context 4 What Does a Semantic Interoperability Architecture Look Like? This Pilot is a Practical Example  Emergency Management Centered  Participants Represent Spectrum of Related Services Participants Partner through Semantically Searchable Registries using Web Services Messaging Flows show Architecture Most Participants' Services are Geospatially Indexed by Geopolitical Address and/or Geospatial Coordinate Reference System (CRS) for Physical Area

21 February 2006 Semantic Interoperability Architecture Geospatial Context 5

21 February 2006 Semantic Interoperability Architecture Geospatial Context 6 Interactive Demonstration

21 February 2006 Semantic Interoperability Architecture Geospatial Context 7 Geospatial Keys to Improving Rapid First Response 2 Geographic Data Contexts Support DRM:  Geopolitical Standards: Addresses: Town, County, State: Graniteville, Aiken County, South Carolina  Geospatial Standards: Coordinate Reference Systems (CRS): Lat/Long can be Converted to Each Other  Both Contexts have Multiple Standards: Local, Regional, National, ISO, ANSI, etc

21 February 2006 Semantic Interoperability Architecture Geospatial Context 8 Geospatial Keys to Improving Rapid First Response Many Geospatial Concepts Support DRM:  ISO Defines "Extent": A Polygon of Lat/Long Points Define "bounding area"  OASIS Common Alerting Protocol (CAP) "area" Polygon Defined by WGS84 (World Geodetic System 1984) Lat/Long Points CAP "area" can also be “circle” from WGS84 Lat/Long "point" + radius length in kilometers

21 February 2006 Semantic Interoperability Architecture Geospatial Context 9 Geospatial Keys to Improving Rapid First Response Geospatial Concepts Support DRM:  OASIS Common Alerting Protocol (CAP) "area" Altitude and Ceiling can be used in CAP CAP “area” can be used by USGS & NOAA Weather Service Systems which Forecast Storm Tracks, Tornado “Watch Boxes,” Toxic Plume Dispersal Patterns, Wildfires Geospatial Information Systems (GIS) Critical in Emergency Incident Preparedness, First Response and Follow up Services.

21 February 2006 Semantic Interoperability Architecture Geospatial Context 10 Geospatial Keys to Improving Rapid First Response Geospatial Concepts Support DRM:  Specific CRS or Geocode Defines DRM "Context"

21 February 2006 Semantic Interoperability Architecture Geospatial Context 11 Semantic Interoperability Simplified Analogies

21 February 2006 Semantic Interoperability Architecture Geospatial Context 12 Semantics Simplified Semantics Defines Meanings  MEANINGS + DATA = USEFUL INFORMATION  Geospatial Systems include Semantics Interoperability Needs Semantic Roadmaps, Guides, Dictionaries for Vocabularies AND Geospatial CRS Ontologies are Classification Systems used for Standard Vocabularies or Geospatial CRS Standards & Geopolitical Addressing Standards Ontologies Perform EQUALLY well for Geospatial Systems

21 February 2006 Semantic Interoperability Architecture Geospatial Context 13 How are we Showing Semantic Interoperability? We Use Standards from the Organi zation for the Advancement of Structured Information Standards (OASIS) Common Alerting Protocol (CAP) 1.0  1.1 Recently Approved as OASIS Standard, Pilot uses 1.0 Emergency Data Exchange Language Distribution Element (EDXL_DE) 1.0 Committee Specification  Simulated Event Type & Sender/Recipient Type Ontologies Drive Improved Message Routing  Simulated Event Type also Drives Lookup for Secondary Healthcare & Geospatial Services

21 February 2006 Semantic Interoperability Architecture Geospatial Context 14 Semantic Interoperability Examples

21 February 2006 Semantic Interoperability Architecture Geospatial Context 15 Semantic Interoperability Examples

21 February 2006 Semantic Interoperability Architecture Geospatial Context 16 Semantic Interoperability Examples

21 February 2006 Semantic Interoperability Architecture Geospatial Context 17 Semantic Interoperability Examples

21 February 2006 Semantic Interoperability Architecture Geospatial Context 18 Semantic Interoperability Examples

21 February 2006 Semantic Interoperability Architecture Geospatial Context 19 Semantic Interoperability Summary Teamwork Through Semantically Ordered Web Services Registries Allow Related Companies/Entities to Locate Each Other Registries Allow Resources to be Located and Bound through Web Services Registries Add Layer of Role-Based Security Third Party Portals and Communities, such as Geospatial and Healthcare Can Aid Preparedness through Semantically Ordered, PreRegistered Web Services

21 February 2006 Semantic Interoperability Architecture Geospatial Context 20 Roster of Pilot Participants RedHat (RedHat Enterprise Linux Operating System) Oracle Corp (Database, Application Server, WSRP Portal) Humanmarkup.org, Inc. (Public Service Preparedness Portal) Starbourne Communications Design (Portal Design Development) Broadstrokes, Inc. (Reverse 911 Service) Targus Information Corporation, Inc. (Geographically encoded consolidated national Reverse-911 database) MyStateUSA (Simulated NIMS-ICS Network running as Web Services through MyStateUSA Interoperable Hub) WarningSystems, Inc. (Web-based Activation of EAS, Sirens, Radios) MCI (Internet Network Backbone) Sandia National Laboratories (Sensor Network Simulation) NuParadigm (Alerting Framework Network Services) Unicorn Solutions, Inc. (Ontology/Data Model Workbench)