This is a short presentation to introduce the remaining technical sessions at #hdpalooza 2013

1. Open Health Knowledge Graphs
#hdpalooza 2013
Technical Development Track
6/3, 1:30-2pm, Congressional Room
George Thomas, HHS OCIO

2. 1
agenda (as advertised)
1. This session introduces the business value of Linked Data,
demonstrating how Linked Data enables the network effect
through a process of „collaboration without coordination,‟
resulting in the integration of information systems across
disparate open government data publishers.
2. This session will describe healthdata.gov
platform components, including new functionality that
programmatically exposes tabular and graph-oriented data.
3. We will set the context for follow-up sessions that review
recent winning submissions for developer challenges and a
final panel discussion about technical opportunities and
upcoming developer challenges contributing to the
maturation of healthdata.gov as a useful knowledge graph.

3. 2
1.1 collaboration without coordination
cross-correlation, graph-merging, reconciliation

4. 3
1.2 linked data integration framework
GKG/Watson/Siri/… healthdata.gov
HKG
PCAST DEAS
Health Data Actor
Variety
Volume
Velocity

5. 4
1.3 achieving liquidity
refine
value
combine
http uri
provenance
global identity
reconciliation
correlation mapping
ohkg
automation curation

6. 5
agenda (as advertised)
1. This session introduces the business value of Linked Data,
demonstrating how Linked Data enables the network effect
through a process of „collaboration without coordination,‟
resulting in the integration of information systems across
disparate open government data publishers.
2. This session will describe healthdata.gov
platform components, including new functionality that
programmatically exposes tabular and graph-oriented data.
3. We will set the context for follow-up sessions that review
recent winning submissions for developer challenges and a
final panel discussion about technical opportunities and
upcoming developer challenges contributing to the
maturation of healthdata.gov as a useful knowledge graph.

7. 6
2.1 these keys are strings, not things

8. 2.2 but these keys are things, not strings
7

9. 8
agenda (as advertised)
1. This session introduces the business value of Linked Data,
demonstrating how Linked Data enables the network effect
through a process of „collaboration without coordination,‟
resulting in the integration of information systems across
disparate open government data publishers.
2. This session will describe healthdata.gov
platform components, including new functionality that
programmatically exposes tabular and graph-oriented data.
3. We will set the context for follow-up sessions that review
recent winning submissions for developer challenges and a
final panel discussion about technical opportunities and
upcoming developer challenges contributing to the
maturation of healthdata.gov as a useful knowledge graph.

10. 9
3.1 first domain developer challenge
• Metadata
– requests the application of existing voluntary
consensus standards for metadata common to all
open government data
– and invites new designs for health domain specific
metadata to classify datasets in our growing catalog,
creating entities, attributes and relations
– that form the foundations for better discovery,
integration and liquidity.
• results page

11. 10
3.2 second domain developer challenge
• Mapping, Reconciliation and Correlation
– builds on the Metadata domain challenge
– begins by acknowledging disparate open government publishing
practices
– and seeks the demonstration of an innovative and automated
solution for transforming semi-structured data into structured data,
– reconciles decentralized distributions about the same data entity
against the master identity of an authoritative source,
– and correlates these master identities when multiple authoritative
sources exist,
– enabling the network effect by introducing strong identity resolution
techniques that ease the ability to aggregate different data about
the same entities from independent publishers.

12. 11
thanks!
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<http://hhs.gov/staff/georgethomas#>
rdf:type drm:DataSteward , sdo:Person ;
vcard:email “george dot thomas 1 at hhs dot gov” ;
dc:contributor <healthdata.gov>, <data.gov/semantic> .