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Nicolas J' Guzman, M'D'

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Computer Crime Unit (and even the) Constitution Code of Ukraine' ... A common terminology. Merged vocabularies. A standard message protocol. Open standards ... – PowerPoint PPT presentation

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Title: Nicolas J' Guzman, M'D'


1
Nicolas J. Guzman, M.D.
  • Center for Emergency Preparedness
  • The George Washington University
  • Washington, DC

GuzmanN_at_gwu.edu http//www.homelandsecurity.gwu.ed
u
2
  • The ensure the security of our nation, the ICT
    infrastructure of the future will need to be a
    pervasive, massively distributed system that will
    provide the maximum possible information and
    computational support to everyone who needs it.

3
  • The Public Health Information Highway is like a
    multi-lane road, with each agency traveling in
    its own lane. Each one has different
    vocabularies, making it very difficult to change
    lanes.

Luis Kun, National Defense University and DOD
4
  • Similar problems occur in other agencies.
  • CCU has at least five definitions in the
    documents I use
  • Coronary Care Unit
  • Communications Control Unit
  • Caribean Conversion Unit
  • Correctional Custody Unit
  • Computer Crime Unit
  • (and even the) Constitution Code of Ukraine

Luis Kun, National Defense University and DOD
5
Data Interoperability
  • A common terminology
  • Merged vocabularies
  • A standard message protocol
  • Open standards
  • Security
  • Policy issues
  • Legal issues
  • Business concerns

6
Passerby Crash/vehicle info Location (GIS)
Traffic camera Site info Location
Law Enforcement
Government Public Safety Others
E 9-1-1 Mapping Dispatch
AACN Crash/vehicle info Location (GIS) Hazmat
info Occupant info
Virtual EOC
EMS
TSP Injury prediction Hazmat modeling
EPAD
DB
Fire Services
HAZMAT team
Medical Facility
7
  • Specific Standards
  • Abstract Syntax Notation number One (ASN.1)
  • APCO Project 36 (Project InterCAD)
  • Automatic Crash Notification (ACN)
  • Common Alert Protocol (CAP)
  • Incident Object Description and Exchange Format
    (IODEF)
  • Intrusion Detection Exchange Format (IDMEF)
  • OpenSec Advisory and Notification Markup Language
    (ANML)
  • OASIS Technical Committees
  • Emergency Management (EM)
  • Content Assembly Mechanism (CAM)
  • e-Government
  • LegalXML (made up of multiple subcommittees)
  • eXtensible Access Control Markup Language (XACML)
  • Universal Business Language (UBL)
  • XML Common Biometric Format (XCBF)
  • XML Localization Interchange File Format (XLIFF)
  • Other Standards Bodies and Groups
  • Global Justice Information Sharing Initiative
    (Global)
  • Homeland Security Standards Panel (HSSP)
  • Incident Management Working Group (IMWG)
  • Localization Industry Standards Association
    (LISA)
  • Open GIS Consortium (OGC)
  • Global Justice Information Sharing Initiative
    (incl the Justice XML Structure TF)

8
  • Our view of how humans interact with computers
    has been shifting from an emphasis on the
    hardware and software processes that consume data
    toward recognizing the power of data itself.

9
E 9-1-1 Mapping Dispatch
Environmental information
Chemical sensor
Virtual EOC
AACN Crash/vehicle info Location (GIS) Hazmat
info Occupant info
TSP Trauma ontology (Injury prediction)
Software Agent
Web Services
Targeted Users
EPAD
DB
DOH
NOAA
GW READI
Surge capacity ontology
NWS weather ontology
FR Training ontology
HAZMAT ontology 3D Plume modeling
EP ontology
10
  • The ICT infrastructure of the future will make
    use of intelligent agents and automated tools
    that will orchestrate a wide variety of web
    services with access to a vast network of
    resources.

11
Semantic Web Services
Enterprise Ontology and Web Services Registry
Dynamic Resources
Semantic Web Services
Web Services
Static Resources
WWW
Semantic Web
Interoperable Syntax
Interoperable Semantics
Source Derived in part from two separate
presentations at the Web Services One Conference
2002 by Dieter Fensel and Dragan Sretenovic.
12
  • The network of resources will be made of smart
    data based on standards for data exchange among
    different systems and agencies, and of Semantic
    Web technologies that will enable semantic
    interoperability and efficient resource discovery.

13
Source The Semantic Web A Guide to the Future
of XML, Web Services, and Knowledge Management,
Wiley Technology Publishing, June 2003.
14
What is smart data?
  • It is data that is able to interact with other
    data in flexible, useful ways.
  • It is data that has access to logic, and to a
    background ontology, to give it context and
    meaning.
  • Smart data is what the Semantic Web will provide.
  • Data standardization must be held for the common
    good.

Michael Daconta, McDonald Bradley
15
  • Once Web documents are aimed for machine or
    program consumption, instead of human
    consumption, the full potential of the Semantic
    Web will be realized.

16
Guzman, NJ, IEEE Engineering in Medicine and
Biology Magazine, Jan/Feb 2004
17
  • It is only a matter of time before Semantic Web
    technologies and the Semantic Web become
    essential components of our nations Homeland
    Security infrastructure.

18
Nicolas J. Guzman, M.D.
  • Center for Emergency Preparedness
  • The George Washington University
  • Washington, DC

GuzmanN_at_gwu.edu http//www.homelandsecurity.gwu.ed
u
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