Your SlideShare is downloading. ×
0
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Gt health2stat 7-22-2010
Upcoming SlideShare
Loading in...5
×

Thanks for flagging this SlideShare!

Oops! An error has occurred.

×
Saving this for later? Get the SlideShare app to save on your phone or tablet. Read anywhere, anytime – even offline.
Text the download link to your phone
Standard text messaging rates apply

Gt health2stat 7-22-2010

1,215

Published on

0 Comments
1 Like
Statistics
Notes
  • Be the first to comment

No Downloads
Views
Total Views
1,215
On Slideshare
0
From Embeds
0
Number of Embeds
2
Actions
Shares
0
Downloads
4
Comments
0
Likes
1
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
No notes for slide

Transcript

  • 1. Data.gov: Web, Data Web, Social Data Web [email_address] 7/22/2010 #health2stat
  • 2. <ul><ul><li>The Web is evolving… </li></ul></ul><ul><ul><ul><li>From a Web of Linked Documents, </li></ul></ul></ul><ul><ul><ul><li>To a Web of Linked Data! </li></ul></ul></ul>
  • 3. <ul><ul><li>OK… </li></ul></ul><ul><ul><li>What does that mean? </li></ul></ul><ul><ul><li>Bear with me for a quick overview - </li></ul></ul>
  • 4. <ul><ul><li>There’s only one type of link in HTML </li></ul></ul><ul><ul><ul><li>SourcePage.htm contains markup; </li></ul></ul></ul><ul><ul><ul><ul><li>&lt;a href=&apos;target.html&apos;&gt; hyperlink &lt;/a&gt; </li></ul></ul></ul></ul>
  • 5. <ul><ul><li>XML gave us custom tags </li></ul></ul><ul><ul><li>&lt;myTag&gt; typed data &lt;/myTag&gt; </li></ul></ul><ul><ul><li>Good, but more importantly... </li></ul></ul>
  • 6. <ul><ul><li>The Architecture of the Web </li></ul></ul><ul><ul><li>(one of the most important and successful inventions of the 20 th Century!) </li></ul></ul><ul><ul><li>is REST ful </li></ul></ul><ul><ul><li>(Info) Resource Representations (URI’s vs URL’s), Uniform Interface (CRUD via HTTP methods), server Resource and client App state (via links)... </li></ul></ul>
  • 7. <ul><ul><li>Web + Data = Data Web </li></ul></ul><ul><ul><li>The Data Web (aka Web of Data) is an innovation that extends the existing Web of Documents </li></ul></ul><ul><ul><li>Beginning with the Resource Description Framework ( RDF ) </li></ul></ul><ul><ul><li>Which is a Web based data modeling language </li></ul></ul>
  • 8. <ul><ul><li>RDF gives us custom link types : </li></ul></ul><ul><ul><li>node &lt;arc&gt; node </li></ul></ul><ul><ul><li>thing &lt;relationship&gt; thing </li></ul></ul><ul><ul><li>topic &lt;property&gt; topic </li></ul></ul><ul><ul><li>entity &lt;attribute&gt; value </li></ul></ul><ul><ul><li>subject &lt;predicate&gt; object </li></ul></ul><ul><ul><li>the grammar of ‘triples’ </li></ul></ul>
  • 9. <ul><ul><li>HTTP GET ’dereferences’ RDF triples in multiple serialization (.htm, .rdf, .json) formats </li></ul></ul><ul><ul><li>So, the URI </li></ul></ul><ul><ul><li>http://agency.gov/Subject </li></ul></ul><ul><ul><li>has a URL representation that returns </li></ul></ul><ul><ul><li>&lt;http://my.org/predicate&gt; &lt;http://your.com/Object&gt; </li></ul></ul>
  • 10. <ul><ul><li>Grammar needs vocabularies ... </li></ul></ul><ul><ul><li>Vocabularies can be metadata : </li></ul></ul><ul><ul><li>Objective quantifies Goal </li></ul></ul><ul><ul><li>So http://standards.org/vocab/Objective returns; </li></ul></ul><ul><ul><li>&lt;quantifies&gt; &lt;http://standards.org/vocab/Goal&gt; </li></ul></ul>
  • 11. <ul><ul><li>Instance data (re)uses vocabularies: </li></ul></ul><ul><ul><li>Meaningful Use &apos;is a&apos; (type of) Objective </li></ul></ul><ul><ul><li>http://onc.hhs.gov/Meaningful_Use </li></ul></ul><ul><ul><li>&lt;type&gt; &lt;http://standards.org/Objective&gt; </li></ul></ul><ul><ul><li>EHR Exchange &apos;is a&apos; (type of) Goal </li></ul></ul><ul><ul><li>http://onc.hhs.gov/EHR_Exchange </li></ul></ul><ul><ul><li>&lt;type&gt; &lt;http://standards.org/Goal&gt; </li></ul></ul>
  • 12. <ul><ul><li>OK… </li></ul></ul><ul><ul><li>Now we’ve introduced to the what , but - </li></ul></ul><ul><ul><li>WHY should we do this Linked (Open Gov) Data stuff? </li></ul></ul>
  • 13. <ul><ul><li>We can (automatically) infer things like; </li></ul></ul><ul><ul><li>Meaningful Use quantifies EHR Exchange </li></ul></ul><ul><ul><li>We can traverse (via apps and browsers) the data graph with no apriori domain knowledge … </li></ul></ul><ul><ul><li>We/others just make links to correlate disparately owned/managed/published data across distinct (some say federated) domains… </li></ul></ul>
  • 14. <ul><ul><li>We can (automatically) integrate disparate data sites/sources via graph merging ! </li></ul></ul><ul><ul><li>If http://hhs.gov/about returns; </li></ul></ul><ul><ul><li>&lt;owl:sameAs&gt; &lt;http:// dbpedia.org /DHHS&gt;, &lt;http://www. freebase.com /HHS&gt; . </li></ul></ul><ul><ul><li>All these data from each site is seen as one dataset, substantially lowering coordination costs of integration! </li></ul></ul>
  • 15. <ul><ul><li>Who is doing this in Industry? </li></ul></ul><ul><ul><li>Google, Facebook, Yahoo </li></ul></ul><ul><ul><li>NY Times, Newsweek </li></ul></ul><ul><ul><li>Best Buy, … </li></ul></ul><ul><ul><li>What about Government Agencies? </li></ul></ul><ul><ul><li>Library of Congress Subject Headings </li></ul></ul><ul><ul><li>http://id.loc.gov – pace setting example! </li></ul></ul>
  • 16. <ul><ul><li>So what about Data.gov? </li></ul></ul><ul><ul><li>(Homepage: ‘Linking Open Government Data’) </li></ul></ul><ul><ul><li>Data.gov PMO SemWeb and Linked Data Team </li></ul></ul><ul><ul><li>Collaboration with tw.rpi.edu – SemWeb inventors </li></ul></ul><ul><ul><li>Federal CIOC-AIC Data Architecture Subcommittee Open Government Vocabulary WG </li></ul></ul>
  • 17. <ul><ul><li>How about at HHS? </li></ul></ul><ul><ul><li>NLM: UMLS ‘SPARQL endpoint’ </li></ul></ul><ul><ul><li>http://mor.nlm.nih.gov/sparql </li></ul></ul><ul><ul><li>CMS: Data.gov PMO SemWeb Team members </li></ul></ul><ul><ul><li>CMS Dashboard vocabulary WIP </li></ul></ul><ul><ul><li>CHDI: vocabularies and URI schemes </li></ul></ul>
  • 18. <ul><ul><li>Rich linking scenarios to explore; </li></ul></ul><ul><ul><li>What are successful community intervention tactics to combat childhood obesity? </li></ul></ul><ul><ul><li>For these geographic health stats, what evidence based provider payment/performance trends emerge? </li></ul></ul><ul><ul><li>What other Gov data is relevant? Is there something in the air or water? </li></ul></ul>
  • 19. <ul><ul><li>Web + Data = Data Web; </li></ul></ul><ul><ul><li>Data Web + Social = Social Data Web! </li></ul></ul><ul><ul><li>Consider the metadata creation (domain SME’s) and instance data curation (info workers) as objects of social collaboration. </li></ul></ul><ul><ul><li>Activity-stream history feeds, viral expert networking (etc.) will all contribute to enhanced data quality . </li></ul></ul><ul><ul><li>Think structured data wikis, where tags are suggested and come from SME designed ontologies (vocabularies) instead of user-generated folksonomies. </li></ul></ul>
  • 20. <ul><ul><li>What can YOU do? </li></ul></ul><ul><ul><li>Get involved with the Data.gov PMO and/or the FCIOC-AIC-DAS-OGV-WG! </li></ul></ul><ul><ul><li>(Come to DC Semantic Web meetups too...) </li></ul></ul><ul><ul><li>Contact me  </li></ul></ul><ul><ul><li>THANKS!!! </li></ul></ul>

×