transparency, collaboration and information sharing solution architecture tools and techniques using the social data web george thomas, 1105 ea2009

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

Web Oriented Architecture (WOA) REpresentational State Transfer (REST) The architectural style of the World Wide Web aka Resource Oriented Architecture (ROA) hyperlinks dereference (information) resource representations HTTP URI's and content negotiation user agent prefers .htm, .xml, .rdf, .etc statefulness servers maintain resource state, clients maintain application state RESTful Web services HTTP uniform interface CRUD analog to HTTP PUT/GET/POST/DELETE contrast to Remote Procedure Call (RPC) style Web services SOAP/WSDL, you design the methods to invoke global visibility (the Web) and persistence (permalinks) caching, crawling, indexing

REpresentational State Transfer (REST)

The architectural style of the World Wide Web

aka Resource Oriented Architecture (ROA)

hyperlinks dereference (information) resource representations

HTTP URI's and content negotiation

user agent prefers .htm, .xml, .rdf, .etc

statefulness

servers maintain resource state, clients maintain application state

RESTful Web services

HTTP uniform interface

CRUD analog to HTTP PUT/GET/POST/DELETE

contrast to Remote Procedure Call (RPC) style Web services

SOAP/WSDL, you design the methods to invoke

global visibility (the Web) and persistence (permalinks)

caching, crawling, indexing

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

XForms - human data capture Orbeon server side XForms engine, Ajax browser GUI's catalog and builder apps create new XSD bound forms populate, persist, search Tomcat and eXist off-line capability transformation pipeline

Orbeon server side XForms engine, Ajax browser GUI's

catalog and builder apps

create new XSD bound forms

populate, persist, search

Tomcat and eXist

off-line capability

transformation pipeline

Atom Publishing Protocol (APP) automated invocation of the RESTful Web service HTTP PUT/POST the spreadsheet or XML instance doc to atomserver.codehaus.org where else is APP used? Google Data API's, Microsoft Live Framework

automated invocation of the RESTful Web service

HTTP PUT/POST the spreadsheet or XML instance doc

to atomserver.codehaus.org

where else is APP used?

Google Data API's, Microsoft Live Framework

Atom Syndication Format transform XForm or APP captured info into XHTML+RDFa (permalinked) public recordset in feed entry <content>

transform XForm or APP captured info into XHTML+RDFa

(permalinked) public recordset in feed entry <content>

the london-gazette.co.uk

london-gazette.co.uk/listing small, discreet, component ontology/data-domain-metamodels

web page = web service

RDFa enabled 'deep link' discovery Rich Snippets from Google SearchMonkey from Yahoo

Rich Snippets from Google

SearchMonkey from Yahoo

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

goal: federated dataset correlation graph based dynamic schema evolution across silos centralization/normalization not required (or realistic/practical!)

graph based dynamic schema evolution across silos

centralization/normalization not required (or realistic/practical!)

Web as DB - Web API Linking Open (Government) Data (LOD) SPARQL endpoints linkeddata.org

Linking Open (Government) Data (LOD)

SPARQL endpoints

browse: from web of docs to web of data

http://data.linkedmdb.org/ page /actor/10 content negotiation, user agent prefers; human (html) or machine (rdf/xml) readable RDF/N3

content negotiation, user agent prefers;

human (html) or machine (rdf/xml) readable

http://data.linkedmdb.org/ page /actor/10 now at the bottom of the same page/actor/10 triple is Subject (S) Predicate (P) Object (O) 10 (S) vocabulary: property (P) <object> (O) properties link to other dataset instances that use different datatype definitions note D2R app, expose RDB as RDF, SPARQL to SQL

now at the bottom of the same page/actor/10

triple is Subject (S) Predicate (P) Object (O)

10 (S) vocabulary: property (P) <object> (O)

properties link to other dataset instances

that use different datatype definitions

note D2R app, expose RDB as RDF, SPARQL to SQL

http://data.linkedmdb.org/ data /actor/10 <subject> has predicate {space} object1 , objectN ; repeat until . <http://data.linkedmdb.org/resource/actor/10> foaf:page <http://www.freebase.com/view/guid/9202a8c04000641f800000000007821e> , <http://www.imdb.com/name/nm0000564/> ; owl:sameAs <http://mpii.de/yago/resource/Peter_O%27Toole> , <http://dbpedia.org/resource/Peter_O%27Toole> ; rdf:type movie:actor , foaf:Person . this is an 'N3' RDF serialization, instead of RDF/XML (or others) some properties have RESTful SPARQL queries as <objects> foaf:person rdfs:seeAlso <http://data.linkedmdb.org/sparql?query=DESCRIBE+<http://xmlns.com/foaf/0.1/Person>

<subject> has predicate {space} object1 , objectN ; repeat until .

<http://data.linkedmdb.org/resource/actor/10>

foaf:page <http://www.freebase.com/view/guid/9202a8c04000641f800000000007821e> , <http://www.imdb.com/name/nm0000564/> ;

owl:sameAs <http://mpii.de/yago/resource/Peter_O%27Toole> , <http://dbpedia.org/resource/Peter_O%27Toole> ;

rdf:type movie:actor ,

foaf:Person .

this is an 'N3' RDF serialization, instead of RDF/XML (or others)

some properties have RESTful SPARQL queries as <objects>

foaf:person rdfs:seeAlso <http://data.linkedmdb.org/sparql?query=DESCRIBE+<http://xmlns.com/foaf/0.1/Person>

Web based SPARQL query builder http://dbpedia.org/ is powered by http://www.openlinksw.com 'Virtuoso' that provides a 'SPARQL endpoint' (DRM 'query point')

creates dbpedia.org query use response data in next query

use response data in next query

authoritative metadata - provided tags!! using standardized datatype and property specifications ontologies emerges from social folksonomy http://commontag.org

using standardized datatype and property specifications

ontologies emerges from social folksonomy

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

indexing/searching the Data Web

aggregation and live data reporting http://sig.ma

many to many set visualization http://mqlx.com/~david/parallax interface used to aggregate data across multiple (data) 'bases' on http://freebase.com

ad-hoc analyst/end-user 'meshups'

schema/bizmo/federal_enterprise bizmo.freebase.com = OMG BMM + CPIC (+SOA...) Obama is an instance of the Federal Enterprise type Federal Enterprise (S) Fed Ent Goal (P) Goal (O)

bizmo.freebase.com = OMG BMM + CPIC (+SOA...)

Obama is an instance of the Federal Enterprise type

Federal Enterprise (S) Fed Ent Goal (P) Goal (O)

/rdf/bizmo.federal_enterprise (excerpt) (W3C/FBase) <subject/topic> <predicate/property> <object/topic> <http://rdf.freebase.com/ns/base.bizmo. federal_enterprise > <http://rdf.freebase.com/ns/type.object. name > &quot;Federal Enterprise&quot;@en. <http://rdf.freebase.com/ns/base.bizmo. federal_enterprise > <http://rdf.freebase.com/ns/freebase.type_profile. instance_count > &quot;1&quot; ^^<http://www.w3.org/2001/ XMLSchema#long >. <http://rdf.freebase.com/ns/base.bizmo. federal_enterprise> <http://rdf.freebase.com/ns/type.type. instance> <http://rdf.freebase.com/ns/guid.9202a8c04000641f800000000c61962c>. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_strategy >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_tactic >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_directive >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_objective >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties> <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_information_technology_budget >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_goal >. <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://www.w3.org/1999/ xhtml/vocab#license > < http://creativecommons.org/licenses/by/3.0/ >.

(W3C/FBase) <subject/topic> <predicate/property> <object/topic>

<http://rdf.freebase.com/ns/base.bizmo. federal_enterprise > <http://rdf.freebase.com/ns/type.object. name > &quot;Federal Enterprise&quot;@en.

<http://rdf.freebase.com/ns/base.bizmo. federal_enterprise > <http://rdf.freebase.com/ns/freebase.type_profile. instance_count > &quot;1&quot; ^^<http://www.w3.org/2001/ XMLSchema#long >.

<http://rdf.freebase.com/ns/base.bizmo. federal_enterprise> <http://rdf.freebase.com/ns/type.type. instance> <http://rdf.freebase.com/ns/guid.9202a8c04000641f800000000c61962c>.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_strategy >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_tactic >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_directive >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_objective >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties> <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_information_technology_budget >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://rdf.freebase.com/ns/type.type. properties > <http://rdf.freebase.com/ns/base.bizmo.federal_enterprise. federal_enterprise_goal >.

<http://rdf.freebase.com/ns/base.bizmo.federal_enterprise> <http://www.w3.org/1999/ xhtml/vocab#license > < http://creativecommons.org/licenses/by/3.0/ >.

connecting the data dots: create the following subject/predicate/object or topic/property/topic schema : Goal / amplifies / Vision Objective / quantifies / Goal Federal Enterprise / (has) Fed Ent Goal / (of type) Goal Federal Agency / maintains / Exhibit 53 Exhibit 53 / contains (multiple) / Exhibit 53 Recordset(s) Exhibit 53 Recordset / Supports Federal Goal / (of type) Goal then create instances with data from http://it.usaspending.gov: Obama / is of type / Federal Enterprise Obama / has a Fed Ent Goal / Health Care Reform HHS / is of type / Federal Agency HHS / maintains / HHS Exhibit 53 HHS Exhibit 53 / contains / Nat Health Info Network Connect Nat Health Info Network Connect / supports Obama Goal / Health Care Reform

create the following subject/predicate/object or topic/property/topic schema :

Goal / amplifies / Vision

Objective / quantifies / Goal

Federal Enterprise / (has) Fed Ent Goal / (of type) Goal

Federal Agency / maintains / Exhibit 53

Exhibit 53 / contains (multiple) / Exhibit 53 Recordset(s)

Exhibit 53 Recordset / Supports Federal Goal / (of type) Goal

then create instances with data from http://it.usaspending.gov:

Obama / is of type / Federal Enterprise

Obama / has a Fed Ent Goal / Health Care Reform

HHS / is of type / Federal Agency

HHS / maintains / HHS Exhibit 53

HHS Exhibit 53 / contains / Nat Health Info Network Connect

Nat Health Info Network Connect / supports Obama Goal / Health Care Reform

search all 'bases' for 'Exhibit 53' http://mqlx.com/~david/parallax interface to http://bizmo.freebase.com

base/bizmo/e53 returns a collection (2 instances) of an Exhibit 53 topic one from HHS and GSA (data from it.usaspending.gov) triple in Exhibit 53 topic schema Exhibit 53 (S) contains (P) Exhibit 53 Recordset (O)

a collection (2 instances) of an Exhibit 53 topic

one from HHS and GSA (data from it.usaspending.gov)

triple in Exhibit 53 topic schema

Exhibit 53 (S) contains (P) Exhibit 53 Recordset (O)

discovering unknown data structures the power of 'faceted' search and browsing interactive query – which of these? Ex53 Recordset (S) Supports Federal Goal (P) ? (O)

the power of 'faceted' search and browsing

interactive query – which of these?

Ex53 Recordset (S) Supports Federal Goal (P) ? (O)

traversing the data graph from info about an IT investment to info about Administration priorities 2 Ex53's to 3 Recordsets to 1 that has Obama Goal <uri> (S) <uri> (P) <uri> (O)

from info about an IT investment

to info about Administration priorities

2 Ex53's to 3 Recordsets to 1 that has Obama Goal

<uri> (S) <uri> (P) <uri> (O)

http://freemix.it - more faceted filtering

scatter chart driven by tag clouds

more multi-dataset faceted meshups

drag & drop metadata/data 'curation'

publish new freemix merged dataset choose a stylesheet, view lenses and facets to include for your end users to interact with

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

crowdsourced analytics shown using 'Top Braid Composer Maestro' from http://topquandrant.com 'SPARQLMotion' script – also see Yahoo | Deri http://pipes.yahoo.com | http://pipes.deri.org

cloud scale analytics (petabyte batch) proprietary Google GFS, BigTable and MapReduce page rank impl open source Apache Hadoop HDFS, HBase and MapReduce entity, RDFa extraction Amazon EMR, Cloudera COSS prof service providers facebook.com

proprietary Google

GFS, BigTable and MapReduce

page rank impl

open source Apache Hadoop

HDFS, HBase and MapReduce

entity, RDFa extraction

Amazon EMR, Cloudera

COSS prof service providers

talis.com/platform - cloud graph store Software as a Service, enabling rapid development with zero deployment costs a simple, consistent web API for storing, managing and retrieving both structured and unstructured data flexible, schema-free metadata that allows applications to be easily evolved a range of data access and query options enabling easy integration into both new and existing applications access control options to support hosting of both public and private data a data hosting solution that is founded on open internet standards and web architectural best practices ... every resource in your (data)store has a unique URL from which its metadata can be retrieved with a single web request SPARQL queries can be used to perform more complex queries, retrieving results as a tabular result set or as RDF content negotiation can be used to retrieve data as RDF, XML, or JSON allowing you to chose the right format for your application

Software as a Service, enabling rapid development with zero deployment costs

a simple, consistent web API for storing, managing and retrieving both structured and unstructured data

flexible, schema-free metadata that allows applications to be easily evolved

a range of data access and query options enabling easy integration into both new and existing applications

access control options to support hosting of both public and private data

a data hosting solution that is founded on open internet standards and web architectural best practices

...

every resource in your (data)store has a unique URL from which its metadata can be retrieved with a single web request

SPARQL queries can be used to perform more complex queries, retrieving results as a tabular result set or as RDF

content negotiation can be used to retrieve data as RDF, XML, or JSON allowing you to chose the right format for your application

agenda An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given. Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described. Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described. Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views. A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described. Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

An overview of Web Oriented Architecture (WOA) design principles that have made the Web the most successful distributed computing platform ever created will be given.

Technologies for exposing raw data and publishing semantically enriched structured data for persistence and syndication on the Web as public records will be described.

Technologies that enable interoperability across these published assets and currently disparate data sources to achieve low cost, large scale data federation will be described.

Widgets and services that consume and transform this data for interactive and integration purposes will be discussed in the context of different stakeholder views.

A Web-scale approach to Business Intelligence leveraging Cloud Computing approaches to data archive analysis will be described.

Finally, the applicability of the proposed solution architecture to the Federal Segment Architecture Methodology and tools like Visualization to Understand Expenditures in IT will be discussed.

application to EA discipline getting there from here stop: publishing / analyzing / visualizing unstructured data using structure data only in file or message exchanges start: align Gov and Web architecture (including EA KB's!) publish component ontologies on the Web and begin linking their metadata and data using the Social Data Web continue: embrace emergent structure and continuous improvement using open source and enabling long-tail crowd-sourcing

getting there from here

stop:

publishing / analyzing / visualizing unstructured data

using structure data only in file or message exchanges

start:

align Gov and Web architecture (including EA KB's!)

publish component ontologies on the Web

and begin linking their metadata and data

using the Social Data Web

continue:

embrace emergent structure and continuous improvement

using open source and enabling long-tail crowd-sourcing

q&a - discussion thanks for your time and attention! contact me http://xri.net/=george.thomas GSA OCIO Chief Enterprise Architect FCIOC-AIC Services Subcommittee Chair W3C eGov IG invited expert OMG GovDTF Steering Committee Graduate School Faculty SOA Instructor

thanks for your time and attention!

contact me

http://xri.net/=george.thomas

GSA OCIO Chief Enterprise Architect

FCIOC-AIC Services Subcommittee Chair

W3C eGov IG invited expert

OMG GovDTF Steering Committee

Graduate School Faculty SOA Instructor