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Realizing the GPRAMA using Government Linked Data


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This presentation was given at the 2011 DoD symposium on SOA & Semantic Technology, and demonstrates the use of open standard metadata tags to implement the Government Performance and Results Act Modernization Act (GPRAMA) using topical examples like cloud computing, and the meaningful use of electronic health record exchanges.

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Realizing the GPRAMA using Government Linked Data

  1. 1. Realizing the GPRAMAusing Government Linked DataGeorge Thomas, HHSDoD 2011 SOA & Semantic Technology Symposium2011-07-13, 3:45-4:20pm, standards (green) track
  2. 2. 2About me…• HHS OCIO– Office of Enterprise Architecture– Working on a variety of (mostly ACA related) modernization projects• PMO Semantic Web / Linked Data lead– TPC: open to all!– Send me an email if interested in participating…• Clinical Quality Linked Data (CQLD)– With the Centers for Medicare and Medicaid Services (CMS)– See CQLD blog post on• W3C Government Linked Data Working Group (GLD)– Co-chair, member only, see W3C GLD wiki– Focused on SW standards and best practices for OGD• Graduate School– SOA Instructor– Part of their EA Certificate program
  3. 3. 3This Presentation• Gov Performance & Results Act Modernization Act– GPRAMA overview• IT Dashboard– Capital Planning Investment Control (CPIC) data• Object Management Group Standards– Business Motivation Model (BMM)• ‘Bizmo’ Linking Vocabulary– CPIC + BMM• Agency Data Creation and Publication– Empowering content owners, exposing machine readable data• Freebase Demo– Finding IT investments that support Federal Gov Goals• Data Syndication and Aggregation– Architectures and tool examples
  4. 4. 4GPRAMA Brief Overview• Strategic Planning– Qualifying the Ends• Performance Planning– Quantifying the Means• Reporting– Annual to quarterly• Federal Priority Goals– Cross Agency, Government-wide• Agency Priority Goals– Intra Agency• (Formalizing new/existing Organizational Roles)• (Training…)
  5. 5. -> HHS Ex300• Selecting columns to populate CSV
  6. 6. 6OMG: BMM + CPIC (+ PM + RM) = MPGModel for Performance Driven GovernmentBusiness Motivation Model (BMM)
  7. 7. 7OMG Business Motivation Model
  8. 8. 8BMM Terms• A desired result is a generalization of goals and objectives– A goal is something an Org is trying to achieve– An objective quantifies a goal, specifying timing andmeasurement• A course of action is something an Org does to achieve adesired result– A strategy is a broad, lasting course of action– A tactic is a narrow, fleeting course of action• An influencer is something that can affect the Org’s ability toachieve its goals or implement its strategies– An actuator is an influencer that can be considered as aquantity that can increase or decrease over time• An assessment is a judgment of an influencer’s affect on an Org– Strengths, Weaknesses, Opportunities and Threats arecommon kinds of assessments (SWOT)
  9. 9. 9BMM Business View: Means to Ends, Assets
  10. 10. 10OWL version of BMM
  11. 11. 11HHS Creates BMM Instance Model
  12. 12. 12HHS Publishes BMM Instance Data
  13. 13. 13Bizmo ‘Bridge’ Ontology in TBC-FE
  14. 14. 14Key /bizmo#Classes
  15. 15. 15Key Interlinking /bizmo#properties– #supports properties link CPIC ex53/ex300’s• to BMM Strategies, Tactics, Goals, Objectives, etc.– extending the Ex53/300 specs – without changing them!– #maintainsExhibit53/300 link OrganizationalUnit’s• to CPIC investment information
  16. 16. 16Browsing SMW KB via Classes
  17. 17. 17Ontology Classes/Properties = Tags• Create semantic annotations (part of wysiwyg editor tools)– auto-completion suggests tags to reuse from ontologies that havebeen imported into the wiki (note existing tags from BMM ontology)
  18. 18. 18NHIN RDF/XML IEP: Export Excerpt• Wiki instance data and metadata curation (SMEedits) maintain class and property specs ofontologies imported off the Web when exported oraccessed by other sites/users/apps
  19. 19. 19Browsing Linked Datasets on SMW• Filtering through properties defined by Bizmo ontology• finds CPIC instance data that is linked to BMM instance data
  20. 20. 20SDW = SNS enabled LOD• This presentation is summarized by the interactive data below• And - it’s a Wiki – SME’s can easily add annotations and data!
  21. 21. 21Freebase Demo (1 of 4) – CPIC+BMM• Using a modern browser, search for ‘Exhibit 53’– On• Select ‘Exhibit 53 collection (2 topics)’ which takes you to;–
  22. 22. 22Freebase Demo (2 of 4) – CPIC+BMM• Two ‘topic’ (instances of type Exhibit 53) are returned– From the schemas defined in the bizmo ‘base’• One HHS and one GSA Exhibit 53– Data sourced from extracts (circa ~2009 – perseverance!)• Click on ‘Contains’ (on the right) in the ‘Connections’ browser– Faceted browsing, RDF properties show up as ‘connections’…
  23. 23. 23Freebase Demo (3 of 4) – CPIC+BMM• Three ‘topic’ (instances of type Exhibit 53 Recordset) are returned– All from HHS, these are Ex53 ‘row’ entries (note other facets on the left)• Which of these supports an Administration Goal?– Click on ‘more connections’, then type ‘goal’ to filter properties on the fly• Click on the ‘Supports Federal Goal’ property link (on the right)– in the ‘connections’ browser to filter the Exhibit 53 Recordsets
  24. 24. 24Freebase Demo (4 of 4) – CPIC+BMM• One ‘topic’ (instance of type Goal) is returned– The Ex53 Recordset entry for the National Health Information Network• Which links to an Administration Goal– ‘Health Care Reform’ (these are notional/exemplary instances…)• You’ve just browsed from all Ex53 entries to a specific entry– Via the connections in the RDF Schema (as described previously)
  25. 25. 25Google’s PubSubHubBub (PuSH)HubsSubscribersPublishers
  26. 26. 26Google’s PubSubHubBub (PuSH)• A feed URL (a "topic") declares its Hub server(s) in its Atom or RSS XML file, via<link rel="hub" ...>.• The hub(s) can be run by the publisher of the feed, or can be a community hub thatanybody can use. (Atom and RssFeeds are supported)• A subscriber (a server thats interested in a topic), initially fetches the Atom URL asnormal. If the Atom file declares its hubs, the subscriber can then avoid lame,repeated polling of the URL and can instead register with the feeds hub(s) andsubscribe to updates.• The subscriber subscribes to the Topic URL from the Topic URLs declared Hub(s).• When the Publisher next updates the Topic URL, the publisher software pings theHub(s) saying that theres an update.• The hub efficiently fetches the published feed and multicasts the new/changedcontent out to all registered subscribers.
  27. 27. – SemWeb Index++• Structured Data– RDF crawler• Register URL’s– Manually– Automated• Using PingSubmission API• Check out– JS Widgets interface
  28. 28. 28Virtuoso Sponger• Crawl/Ingest– Multiplemethods• ‘Swiss ArmyKnife’– Structured andunstructuredformats• Search– keyword, facet
  29. 29. 29Conclusions and Recommendations• Linked Metadata– Bizmo relates/links– CPIC (what) with Motivation (why)• Published Instance Data– Structured data– Gov Linked Data• Decentralized, Federated Publishing– Agencies use light weight tools– Self-assessments and passbacks• Syndication and Aggregation– Pull, push, feeds–
  30. 30. 30Thank You! Questions?• george dot thomas 1 at hhs dot gov• @georgethomas