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Monitoring Healthcare
Innovation: A Case Study in
Using OWL, Linked Data and
RDFa
Dr. Michael Wilkinson, NIC
Mark Birbeck, Backplane Ltd.




                               1
About the National Health
Service
 Established in 1948
    Comprehensive, universal, free at point of delivery
 World’s largest health service
    Covers entire population of 51 million
    Serves, on average,1 million people every 36 hours
 World’s 4th largest employer
    1.7m people employed, including:
           120,000 hospital doctors
           40,000 general practitioners (GPs)
           400,000 nurses
           25,000 ambulance staff
           55,000 scientists




                                                          2
UK Research Environment
 UK Life Science Industry
   Employs over 120,000 people
   Invests more than £4.6 billion in R&D
   Global turnover more than £31.4 billion
 World University Rankings
   1: Harvard University
   2: University of Cambridge
   3: Yale University
   4: University College London
   5=: Imperial College London
   5=: University of Oxford



                                             3
Who we are
 Funded by Department of Health
 Response to Industry’s complaint to Government that
 NHS was unresponsive to innovation
 In current economic climate, Government, NHS and
 Industry all see innovation as a key driver to:
   improve NHS
          productivity
          quality
   support UK plc
          wealth and job creation
          inward investment and export trade




                                                       4
What we do
 We aim to speed-up the development and delivery of
 technological innovations likely to benefit the NHS and
 UK plc
 We focus on:
   Pre-commercial innovation (e.g., SBRI, Collaborative, Classic)
   Linked Data




                                                                    5
Competition Tool
Competition Tool
NIC   Define    Design   Develop   Demonstrate   Distribute
Competition Tool
NIC   Define    Design         Develop   Demonstrate   Distribute




                Competition
                   Tool
Competition Tool
NIC   Define                   Design                 Develop          Demonstrate   Distribute




                                         SBRI
                      AUCTIONS
                                                       Prizes



                                 Competition
              Std Tenders
                                    Tool                     Grants




                                                Negotiated
                        Collaborations
                                                procedures
Competition Tool
NIC   Define                   Design                 Develop          Demonstrate   Distribute




                                         SBRI
                      AUCTIONS
                                                       Prizes



                                 Competition
              Std Tenders
                                    Tool                     Grants




                                                Negotiated
                        Collaborations
                                                procedures




       Need 1 Need 2 Need 3 Need 4 Need 5
Screen Shot
Competition Tool




                   7
Screen Shots
Showcase Tool




                9
Linked Data Platform
 Ontology
 Linked data
 Triple-store
 Applications
 Architecture




                       14
Platform: Ontology
 Open Health Innovation Ontology (OHIO) Developed by
 the NIC
 Spans the entire innovation pipeline
 Models concepts and relationships within the domain of
 innovation
 Builds on existing ontologies, such as FOAF and DC
 Extremely modular
 TDD approach (using Pellet)
 Comprises both OWL (Web Ontology Language) and
 SKOS (Simple Knowledge Organization System)



                                                          15
Platform: Linked data
 Sources listed on data.gov.uk
 Unstructured, such as PubMed
 Semi-structured, such as Connecting for Health CSV files
 Structured, using RDFa:
    Partner with others, such as the Chief Scientist's Office...
    ...and NHS Networks
 Some data is entered manually, and augmented (e.g.,
 with geocoding and entity extraction)




                                                                   16
Direct sources: data.gov.uk




                              17
...although mainly spreadsheets




                                  18
Unstructured: PubMed




                       19
Semi-structured: CfH CSV files




                                 20
Semi-structured: CfH CSV files




                                 20
Augmentation: Geo and OpenCalais




                                   21
Augmentation: Geo and OpenCalais




                                   21
Platform: Triple-store
 Key part of the architecture
 Driven by the OHIO ontology
 Publicly available via SPARQL end-point




                                           22
Platform: Applications
 Many ways to visualise and understand the data, so no
 'one size fits all'
 Open source community offers plethora of tools to help:
    MIT's Exhibit
    Google Visualizations API
 So build a widget platform:
    Find and link to data
    Create widgets to visualise the data
    Embed those in your own site




                                                           23
Visualisation: Exhibit




                         24
Visualisation: GViz




                      25
Platform: Applications
 Many ways to visualise and understand the data
 Open Source community offers plethora of tools to
 exploit, such as:
    MIT's Exhibit
    Google Visualizations API
 Widget platform:
    Find and upload data
    Create widgets to visualise the data
    Embedded in their own sites




                                                     26
Platform: Architecture
 Search is provided by Solr
 Nutch does the crawling
 Triple-store is 4Store
 Management of the platform is via Drupal
 Drupal also provides the user interface layer:
    Views
    Google Visualizations API
    Exhibit
    Faceted browsing (from Solr)
    Embedding widgets
    User registration
    Ratings
    Comments
    Forums......could go on and on!               27
Well-known CMS with strong community;
good foundation for pretty much anything;
increasing number of semantic modules:
  Open Calais support;
  RDF import;
  import results of SPARQL queries;
  RDF to Apache Solr mapping;
  RDFa support in core in Drupal 7;
still on Drupal 6 though (many unported modules);
manages our system, and provides end-user UI.



                                                    28
part of Lucene project at Apache;
full-text search;
'more like this';
'did you mean?';
hit highlighting;
faceted search;
rich document (e.g., Word, PDF) handling;
...and well integrated with Drupal.




                                            29
part of Lucene project at Apache;
crawler (managing links and schedules);
parsers for HTML and other document formats (e.g.,
Word, PDF);
a Drupal module is available.




                                                     30
basic triple-store;
SPARQL over HTTP.




                      31
dataShuttle




              32
Faceted search: Product




                          33
Faceted search: Product




                          33
Faceted search: Indicator




                            34
Faceted search: Indicator




                            34
Embed widget




               35
Widget in place: Community site




                                  36
Widget in place: Hospital homepage




                                     37
Widget in place: Hospital homepage




                                     37
Next steps
 Release OHIO as open source ontology
 Launch dataShuttle beta
 Establish more RDFa publishing partners
 Crawl more specialist sites
 NLP on some sites (probably with GATE or Mahout)
 Take platform open source so that others can get up and
 running quickly




                                                           38
Links
 Dr. Michael Wilkinson:
   michael.wilkinson@institute.nhs.uk
   http://www.nic.nhs.uk/
 Mark Birbeck
   mark.birbeck@webBackplane.com
   http://webBackplane.com/mark.birbeck
 Tools
   Exhibit: http://www.simile-widgets.org/exhibit/
   GViz: http://code.google.com/apis/charttools/index.html
   Solr: http://lucene.apache.org/solr/
   Nutch: http://nutch.apache.org/
   4Store: http://4store.org/
   Drupal: http://drupal.org/
                                                             39

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Monitoring Healthcare Innovation: A Case Study in Using OWL, Linked Data and RDFa

  • 1. Monitoring Healthcare Innovation: A Case Study in Using OWL, Linked Data and RDFa Dr. Michael Wilkinson, NIC Mark Birbeck, Backplane Ltd. 1
  • 2. About the National Health Service Established in 1948 Comprehensive, universal, free at point of delivery World’s largest health service Covers entire population of 51 million Serves, on average,1 million people every 36 hours World’s 4th largest employer 1.7m people employed, including: 120,000 hospital doctors 40,000 general practitioners (GPs) 400,000 nurses 25,000 ambulance staff 55,000 scientists 2
  • 3. UK Research Environment UK Life Science Industry Employs over 120,000 people Invests more than £4.6 billion in R&D Global turnover more than £31.4 billion World University Rankings 1: Harvard University 2: University of Cambridge 3: Yale University 4: University College London 5=: Imperial College London 5=: University of Oxford 3
  • 4. Who we are Funded by Department of Health Response to Industry’s complaint to Government that NHS was unresponsive to innovation In current economic climate, Government, NHS and Industry all see innovation as a key driver to: improve NHS productivity quality support UK plc wealth and job creation inward investment and export trade 4
  • 5. What we do We aim to speed-up the development and delivery of technological innovations likely to benefit the NHS and UK plc We focus on: Pre-commercial innovation (e.g., SBRI, Collaborative, Classic) Linked Data 5
  • 7. Competition Tool NIC Define Design Develop Demonstrate Distribute
  • 8. Competition Tool NIC Define Design Develop Demonstrate Distribute Competition Tool
  • 9. Competition Tool NIC Define Design Develop Demonstrate Distribute SBRI AUCTIONS Prizes Competition Std Tenders Tool Grants Negotiated Collaborations procedures
  • 10. Competition Tool NIC Define Design Develop Demonstrate Distribute SBRI AUCTIONS Prizes Competition Std Tenders Tool Grants Negotiated Collaborations procedures Need 1 Need 2 Need 3 Need 4 Need 5
  • 12.
  • 14.
  • 15.
  • 16.
  • 17.
  • 18. Linked Data Platform Ontology Linked data Triple-store Applications Architecture 14
  • 19. Platform: Ontology Open Health Innovation Ontology (OHIO) Developed by the NIC Spans the entire innovation pipeline Models concepts and relationships within the domain of innovation Builds on existing ontologies, such as FOAF and DC Extremely modular TDD approach (using Pellet) Comprises both OWL (Web Ontology Language) and SKOS (Simple Knowledge Organization System) 15
  • 20. Platform: Linked data Sources listed on data.gov.uk Unstructured, such as PubMed Semi-structured, such as Connecting for Health CSV files Structured, using RDFa: Partner with others, such as the Chief Scientist's Office... ...and NHS Networks Some data is entered manually, and augmented (e.g., with geocoding and entity extraction) 16
  • 26. Augmentation: Geo and OpenCalais 21
  • 27. Augmentation: Geo and OpenCalais 21
  • 28. Platform: Triple-store Key part of the architecture Driven by the OHIO ontology Publicly available via SPARQL end-point 22
  • 29. Platform: Applications Many ways to visualise and understand the data, so no 'one size fits all' Open source community offers plethora of tools to help: MIT's Exhibit Google Visualizations API So build a widget platform: Find and link to data Create widgets to visualise the data Embed those in your own site 23
  • 32. Platform: Applications Many ways to visualise and understand the data Open Source community offers plethora of tools to exploit, such as: MIT's Exhibit Google Visualizations API Widget platform: Find and upload data Create widgets to visualise the data Embedded in their own sites 26
  • 33. Platform: Architecture Search is provided by Solr Nutch does the crawling Triple-store is 4Store Management of the platform is via Drupal Drupal also provides the user interface layer: Views Google Visualizations API Exhibit Faceted browsing (from Solr) Embedding widgets User registration Ratings Comments Forums......could go on and on! 27
  • 34. Well-known CMS with strong community; good foundation for pretty much anything; increasing number of semantic modules: Open Calais support; RDF import; import results of SPARQL queries; RDF to Apache Solr mapping; RDFa support in core in Drupal 7; still on Drupal 6 though (many unported modules); manages our system, and provides end-user UI. 28
  • 35. part of Lucene project at Apache; full-text search; 'more like this'; 'did you mean?'; hit highlighting; faceted search; rich document (e.g., Word, PDF) handling; ...and well integrated with Drupal. 29
  • 36. part of Lucene project at Apache; crawler (managing links and schedules); parsers for HTML and other document formats (e.g., Word, PDF); a Drupal module is available. 30
  • 44. Widget in place: Community site 36
  • 45. Widget in place: Hospital homepage 37
  • 46. Widget in place: Hospital homepage 37
  • 47. Next steps Release OHIO as open source ontology Launch dataShuttle beta Establish more RDFa publishing partners Crawl more specialist sites NLP on some sites (probably with GATE or Mahout) Take platform open source so that others can get up and running quickly 38
  • 48. Links Dr. Michael Wilkinson: michael.wilkinson@institute.nhs.uk http://www.nic.nhs.uk/ Mark Birbeck mark.birbeck@webBackplane.com http://webBackplane.com/mark.birbeck Tools Exhibit: http://www.simile-widgets.org/exhibit/ GViz: http://code.google.com/apis/charttools/index.html Solr: http://lucene.apache.org/solr/ Nutch: http://nutch.apache.org/ 4Store: http://4store.org/ Drupal: http://drupal.org/ 39

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