Gt health2stat 7-22-2010


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Gt health2stat 7-22-2010

  1. 1. Web, Data Web, Social Data Web [email_address] 7/22/2010 #health2stat
  2. 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. 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. 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><a href='target.html'> hyperlink </a> </li></ul></ul></ul></ul>
  5. 5. <ul><ul><li>XML gave us custom tags </li></ul></ul><ul><ul><li><myTag> typed data </myTag> </li></ul></ul><ul><ul><li>Good, but more importantly... </li></ul></ul>
  6. 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. 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. 8. <ul><ul><li>RDF gives us custom link types : </li></ul></ul><ul><ul><li>node <arc> node </li></ul></ul><ul><ul><li>thing <relationship> thing </li></ul></ul><ul><ul><li>topic <property> topic </li></ul></ul><ul><ul><li>entity <attribute> value </li></ul></ul><ul><ul><li>subject <predicate> object </li></ul></ul><ul><ul><li>the grammar of ‘triples’ </li></ul></ul>
  9. 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> </li></ul></ul><ul><ul><li>has a URL representation that returns </li></ul></ul><ul><ul><li><> <> </li></ul></ul>
  10. 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 returns; </li></ul></ul><ul><ul><li><quantifies> <> </li></ul></ul>
  11. 11. <ul><ul><li>Instance data (re)uses vocabularies: </li></ul></ul><ul><ul><li>Meaningful Use 'is a' (type of) Objective </li></ul></ul><ul><ul><li> </li></ul></ul><ul><ul><li><type> <> </li></ul></ul><ul><ul><li>EHR Exchange 'is a' (type of) Goal </li></ul></ul><ul><ul><li> </li></ul></ul><ul><ul><li><type> <> </li></ul></ul>
  12. 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. 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. 14. <ul><ul><li>We can (automatically) integrate disparate data sites/sources via graph merging ! </li></ul></ul><ul><ul><li>If returns; </li></ul></ul><ul><ul><li><owl:sameAs> <http:// /DHHS>, <http://www. /HHS> . </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. 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> – pace setting example! </li></ul></ul>
  16. 16. <ul><ul><li>So what about </li></ul></ul><ul><ul><li>(Homepage: ‘Linking Open Government Data’) </li></ul></ul><ul><ul><li> PMO SemWeb and Linked Data Team </li></ul></ul><ul><ul><li>Collaboration with – SemWeb inventors </li></ul></ul><ul><ul><li>Federal CIOC-AIC Data Architecture Subcommittee Open Government Vocabulary WG </li></ul></ul>
  17. 17. <ul><ul><li>How about at HHS? </li></ul></ul><ul><ul><li>NLM: UMLS ‘SPARQL endpoint’ </li></ul></ul><ul><ul><li> </li></ul></ul><ul><ul><li>CMS: 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. 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. 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. 20. <ul><ul><li>What can YOU do? </li></ul></ul><ul><ul><li>Get involved with the 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>