New Paradigms for Community Statistical Systems Session 13, Friday, March 12th, 3:30 5 p'm' Panel Pr - PowerPoint PPT Presentation

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New Paradigms for Community Statistical Systems Session 13, Friday, March 12th, 3:30 5 p'm' Panel Pr

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Title: New Paradigms for Community Statistical Systems Session 13, Friday, March 12th, 3:30 5 p'm' Panel Pr


1
New Paradigms for Community Statistical Systems
Session 13, Friday, March 12th, 330 5
p.m.Panel Presenter Brand Niemann, US EPA
  • The 2004 National Community Indicators
    Conference
  • Advances in the Science Practice of Community
    Indicators
  • Eldorado Hotel
  • Reno, Nevada
  • March 10-13, 2004

2
Preface
  • Express appreciation for the opportunity to
    participate in this conference to
  • Andy Reamer, Community Statistical System
    Coordinator
  • Joe Ferreira, Massachusetts Institute of
    Technology
  • Bob Stroh, University of Florida and
  • Joe Sirgy, Conference Co-Chair.

3
Abstract
  • The use of eXtensible Markup Languages (XML) and
    Semantic Web Services are suggested and
    illustrated as a new paradigm for community
    statistical systems to make them interoperable so
    reuse and integration within and across domains
    of interest and communities of practice are more
    likely to occur.
  • Scalable Vector Graphics (SVG), Geography Markup
    Language (GML), and LandView 6, a viewer for
    spatial (administrative) databases, are also
    introduced for the same purpose.

4
Overview
  • 1. Introduction
  • 2. eXtensible Markup Language (XML)
  • 3. XML Web Services
  • 4. Semantic Web Services
  • 5. Scalable Vector Graphics and Geography Markup
    Language
  • 6. LandView 6
  • 7. Contact Information

5
1. Introduction
  • Even Broader Perspective Based on Conference
    Presentations and Literature
  • Process from Federal and Local Experience
  • Collaboration Opportunity define domain broadly
    enough so a win-win for all (see example at
    http//componenttechnology.org in next slide)
  • Services to be provided IT architecture and
    technology (selected Service-Oriented
    Architecture with Semantic Web Services) and
  • Sources of Assistance Experts in CoPs,
    Knowledge Management, Statistics and Data Mining,
    Emerging Technologies (e.g. Semantic Web), etc.

6
1. Introduction
A very successful public-private
collaboration/community of practice to
be featured at FOSE, March 23-25, 2004,
Washington DC Convention Center!
7
1. Introduction
Replace labels in previous Venn diagram with
these
Community Indicators
Decision Makers
Collaboration Opportunity
Collaboration Zone
Data Providers
Sponsors
8
1. Introduction
  • Period of Rapid Change
  • eGov Act of 2002
  • Interagency Committee on Government Information
  • E.g. Standards for large documents on the Web.
  • Data and Information Reference Model
    Intergovernmental Data Integration Pilots (5).
  • Semantic Web Standards from W3C
  • Collaborative Web, Semantic Web, and Web of
    Trust.
  • Work on new standards so that data access
    policies can travel with the XML data
    (confidentiality-personal information and
    privacy-aggregation of information).
  • CIO Council Committees Highest Priority
    (Pilots)
  • Architecture Infrastructure Committee
  • FEA Data and Information Reference Model (DRM).
  • Best Practices Knowledge Management
  • Semantic Interoperability Community of Practice.

9
1. Introduction
  • Presentation
  • Highlights of this presentation and
  • Last part of Data and Information Reference Model
    (DRM) Pilot
  • Uses the Statistical Abstract of the United
    States, 2003
  • Awarded a free copy at the Census Bureau
    Symposium last week.
  • Obvious first pilot to begin to demonstrate
    Semantic Web standards and technologies to the
    Community Indicators Conference.

10
1. Introduction
  • Indicators are usually expressed in graphical
    form based on data tables that should have
    metadata (data about the data) which are usually
    embedded in documents that need to be Semantic
    Web Services that can be searched (find what
    expect to find), discovered (find what you dont
    expect to find), and exploited (reused).

11
1. Introduction
  • Indicator data needs to be interoperable to
    facilitate
  • (1) reuse (e.g. in statistics we should ask
    compared to what?) and
  • (2) integration within and across domains of
    interest and communities of practice.
  • eXtensible Markup Language (XML), XML Web
    Services, and Semantic Web Services help
    accomplish those needs as will be illustrated in
    this presentation.

12
2. eXtensible Markup Language (XML)
  • Markup adds structure and metadata to the data
    and separates presentation with HTML from the
    data in XML to facilitate different presentations
    and reuse of the data.
  • An EPA Toxic Release Inventory (TRI) Indicator
    example
  • lt?xml version"1.0" encoding"UTF-8" ?gt lt!--
    File Name tri99table1.xml   --gt
  • ltTRI99Table1gt
  • ltTable1gt
  • ltStategtNevadalt/Stategt
  • EXPLANATION ltSTARTTAGgtCONTENTlt/ENDTAGgt
  • ltRankgt1lt/Rankgt
  • ltFugitiveAirgt1529022lt/FugitiveAirgt
  • ltStackAirgt1868475lt/StackAirgt
  • ltSurfaceWatergt136431lt/SurfaceWatergt
  • ltUndgInjectiongt2797lt/UndgInjectiongt
  • ltLandReleasesgt1.1647E09lt/LandReleasesgt
  • ltOnSiteReleasesgt1.1682E09lt/OnSiteReleasesgt
  • ltOffSiteReleasesgt212998lt/OffSiteReleasesgt
  • ltTotalReleasesgt1.1684E09lt/TotalReleasesgt
  • lt/Table1gt
  • Etc.

13
2. eXtensible Markup Language (XML)
Display with HTML Markup
Structure and Metadata with XML Markup
http//web-services.gov/tri99table1.htm
http//web-services.gov/tri99table1.xml
Note The HTML file contains only the mapping of
the table fields to the XML database, not the
actual XML database itself!
14
2. eXtensible Markup Language (XML)
Grid View in XML Spy Showing Spreadsheet-like
Structure
Note XML files can be used in spreadsheets,
statistical analysis packages, etc
15
3. XML Web Services
  • Markup adds structure and metadata to documents
    that contain mixed content (text, tables,
    graphics, references, etc.)
  • An EPA Indicator Report example
  • Americas Children and the Environment Report,
    2003
  • The report consists of 171 pages of text, tables,
    graphics, references, etc. and exists in two
    basic forms
  • A 2 MB PDF file and
  • A new HTML version on the Web.
  • This document was converted to XML by several
    tools but the automated conversion was
    practically worthless from a semantic point of
    view.
  • This single document covers so much information
    that it will benefit immensely from semantic
    dissection, linking, and augmentation (explosion
    of single PDF file to multiple XML files stored
    in an XML database for reuse).
  • As a result this report consists of the
    following
  • Images (2.64 MB) 33 .jpeg and 33 .rdf (metadata
    format to be explained later).
  • XML 102 files/1.65 MB for 12 sections.

16
3. XML Web Services
Document Structure and Links
Document Search for Cancer
See EPA Report on America's Children and the
Environment, 2003, at http//www.sdi.gov
17
4. Semantic Web Services
  • We want to move simultaneously from static to
    dynamic Web Services and from interoperable
    syntax (XML) to interoperable semantics (RDF and
    OWL). (See next three slides.)
  • We want to virtually centralize the content
    instead of physically centralizing the content
    (e.g. leave it distributed and connect it over
    the Internet).
  • We want to build a fully distributed indicator
    management system for the Council on
    Environmental Quality based on the work for the
    Interagency Working Group on Sustainable
    Development Indicators at http//www.sdi.gov.
  • A good example is our work with the Annual
    Statistical Abstract, which is an XML content
    collections consisting of the conversion of about
    50 PDF files and 1500 Excel files with their
    metadata, which could be distributed back to the
    200 some statistical programs that contribute to
    it each year to eliminate most of the manual
    aggregation that is done by the Census Bureau
    each year, to make it a living and reusable
    document. Another example is the EPA Report on
    the Environment, 2003. (See next slide.)

18
4. Semantic Web Services
Annual Statistical Abstract of the U.S.
EPA Report on the Environment, 2003
See http//www.sdi.gov for many structured
documents on state of the environment,
indicators, etc.
19
4. Semantic Web Services
Enterprise Ontology and Web Services Registry
Dynamic Resources
Semantic Web Services
Web Services
Static Resources
WWW
Semantic Web
Source Derived in part from two separate
presentations at the Web Services One Conference
2002 by Dieter Fensel and Dragan Sretenovic.
Interoperable Syntax
Interoperable Semantics
20
4. Semantic Web Services
  • The Resource Description Framework (RDF) is an
    XML-based language to describe resources and is
    designed to create meta data about the resource
    as a standalone entity. The RDF model is often
    called a triple because it has three parts (1)
    a resource (2) a resources properties and (3)
    the property values.
  • The knowledge representation community uses the
    grammatical parts of a sentence (1) subject (2)
    predicate and (3) object.
  • RDF Schema is language layer on top of RDF in
    what is called the Semantic Web Stack. Above
    RDF Schema is Ontologies and above that is the
    third and final web in Tim Berners-Lees three
    part vision (collaborative web, Semantic Web, web
    of trust).
  • XML Topic Maps are popular implementations of
    taxonomies and have complimentary characteristics
    to RDF.
  • Three excellent resources are
  • Practical RDF Solving Problems with the Resource
    Description Framework, Shelley Powers, OReilly,
    July 2003.
  • The Semantic Web A Guide to the Future of XML,
    Web Services, and Knowledge Management, Wiley
    Technology Publishing, June 2003 and
  • XML Topic Maps Creating and Using Topic Maps for
    the Web, Addison Wesley, July 2002.

21
4. Semantic Web Services
Key Ontology Components
RDF Triple Components
The company sells batteries.
depiction
Image
knows
Person birthdate date Gender char
Object
Predicate
published
Subject
Resource
Predicate
Literal
works for
is-A
leads
Resource Description Framework
Leader
Organization
URI
Literal
Source The Semantic Web A Guide to the Future
of XML, Web Services, and Knowledge Management,
Wiley Technology Publishing, June 2003.
Property or Association
22
5. Scalable Vector Graphics and Geography Markup
Language
  • Scalable Vector Graphics (SVG)
  • An XML vector graphics standard (W3C) that
    enables them to be processed efficiently,
    robustly, and in an automated fashion and enables
    scaling, panning, highlighting, etc.
  • Graphical applications that are currently
    realized using bitmap graphics will start using
    SVG. The scope of SVG use will expand and it will
    displace the use of bitmap graphics in many
    areas, prime examples of which include mapping
    and GIS applications.
  • Geography Markup Language (GML)
  • An XML-based common encoding for spatial
    features.
  • Makes it possible to renders legacy and
    third-party data and services interoperable
    minimizing the coupling between components.
  • Enables multi-source, multi-sensor fusion.
  • Can be converted to SVG on-the-fly.

23
5. Scalable Vector Graphics
http//www.sdi.gov/Svg/120MonthLoan_Advanced.htm
24
5. Geography Markup Language
Galdos Viewer for U.S. Census Data at
http//web-services.gov/tigerviewer.zip (unzip
and run display.html then load the sample
TIGER/GML for Manhattan)
25
6. LandView 6
  • A Viewer for the Environmental Protection Agency,
    U.S. Census Bureau, and U.S. Geological Survey
    Data and Maps
  • http//landview.census.gov
  • The LandView 6 Demo system provides the complete
    LandView software, but with a small extract of
    data and maps, from Prince William County,
    Virginia. The demo can be used to evaluate
    whether this product is suitable for your needs.
    The LandView 6 Tutorial uses this demo system in
    its examples
  • http//www.census.gov/geo/landview/lv6/lv6demo.htm
    l

26
6. LandView 6
  • What is LandView 6?
  • LandView has its roots in the CAMEO software
    (Computer-Aided Management of Emergency
    Operations). CAMEO was developed by the EPA and
    the NOAA to facilitate the implementation of the
    Emergency Planning and Community Right-to-Know
    Act. This far-reaching law requires communities
    to develop emergency response plans addressing
    chemical hazards and to make available to the
    public information on chemical hazards in the
    community.
  • This product contains both database management
    software and mapping software used in the CAMEO
    system to create a simple computer mapping system
    involving two programs - MARPLOT and LandView.
  • The MARPLOT mapping program allows users to map
    Census 2000 legal and statistical areas, EPA
    EnviroFact sites, and USGS Geographic Names
    Information (GNIS) features.

27
6. LandView 6
  • What is LandView 6? (continued)
  • The LandView database system allows users to
    retrieve Census 2000 demographic and housing
    data, EPA EnviroFacts data and USGS GNIS
    information. The GNIS contains over 1.2 million
    records which show the official federally
    recognized geographic names for all known places,
    features, and areas in the United States that are
    identified by a proper name.
  • The LandView 6 and MARPLOT software included on
    the DVDs were created by agencies of the U.S.
    Government and are in the public domain. They can
    be copied, used and distributed freely without
    the requirement for royalty payments or further
    permissions. However, the Census Bureau cannot
    provide technical support for products created by
    others using LandView.
  • LandView 6 is available on a set of 2 DVDs that
    cover the entire nation. A national version is
    also available for installation on a network
    server or individual computer hard drives.

28
7. Contact Information
  • Brand Niemann
  • U.S. Environmental Protection Agency, Office of
    Environmental Information (Office of the Chief
    Information Officer)
  • Enterprise Architecture Team.
  • Computer Scientist and Semantic XML Web Services
    Specialist.
  • 202-566-1657, niemann.brand_at_epa.gov.
  • Interagency Working Group on Sustainable
    Development Indicators
  • http//www.sdi.gov.
  • CIO Councils Emerging Technology Subcommittee
  • http//web-services.gov.
  • http//componenttechnology.org.
  • CIO Councils Semantic (Web Services)
    Interoperability Community of Practice
  • http//km.gov and http//web-services.gov
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