W3C Semantic Web for Health Care and Life Sciences Interest Group

1. W3C Semantic Web for Health Care and Life Sciences Interest Group

2. Background of the HCLS IG • Originally chartered in 2005 • Chairs: Eric Neumann and Tonya Hongsermeier • Re-chartered in 2008 • Chairs: Scott Marshall and Susie Stephens • Team contact: Eric Prud’hommeaux • Broad industry participation • Over 100 members • Mailing list of over 600 • Background Information • http://www.w3.org/2001/sw/hcls/ • http://esw.w3.org/topic/HCLSIG

3. Mission of HCLS IG • The mission of HCLS is to develop, advocate for, and support the use of Semantic Web technologies for • Biological science • Translational medicine • Health care • These domains stand to gain tremendous benefit by adoption of Semantic Web technologies, as they depend on the interoperability of information from many domains and processes for efficient decision support

4. Group Activities • Document use cases to aid individuals in understanding the business and technical benefits of using Semantic Web technologies • Document guidelines to accelerate the adoption of the technology • Implement a selection of the use cases as proof-of-concept demonstrations • Develop high-level vocabularies • Disseminate information about the group’s work at government, industry, and academic events

5. Accomplishments • Technical • HCLS KB hosted at 2 institutes • Linked Open Data contributions • Demonstrator of querying across heterogeneous EHR systems • Integration of SWAN and SIOC ontologies for Scientific Discourse • Outreach • Conference Presentations and Workshops: • Bio-IT World, WWW, ISMB, AMIA, C-SHALS, etc. • Publications: • Proceedings of LOD Workshop at WWW 2009: Enabling Tailored Therapeutics with Linked Data • Proceedings of the ICBO: Pharma Ontology: Creating a Patient-Centric Ontology for Translational Medicine • AMIA Spring Symposium: Clinical Observations Interoperability: A Semantic Web Approach • BMC Bioinformatics. A Journey to Semantic Web Query Federation in Life Sciences

6. Current Task Forces • BioRDF – integrated neuroscience knowledge base • Kei Cheung (Yale University) • Clinical Observations Interoperability – patient recruitment in trials • Vipul Kashyap (Cigna Healthcare) • Linking Open Drug Data – aggregation of Web-based drug data • Chris Bizer (Free University Berlin) • Pharma Ontology – high level patient-centric ontology • Christi Denney (Eli Lilly) • Scientific Discourse – building communities through networking • Tim Clark (Harvard University) • Terminology – Semantic Web representation of existing resources • John Madden (Duke University)

7. Getting Involved • Benefits to getting involved include: • Early access to use cases and best practice • Influence standard recommendations • Cost effective exploration of new technology through collaboration • Network with others working on the Semantic Web • Get involved • Speak to any of us after the session! • Email chairs and team contact • team-hcls-chairs@w3.org

8. Sponsored by the University of Southampton • W3C Semantic Web for Health Care and Life Sciences Interest Group

9. Sponsored by the University of Southampton Agenda – Day One • 08.45-09.00 - Welcome • 09.00-09.45 - Semantic Web State of the Union in HCLS • 09.45-10.30 - Lessons Learned in Describing Neuroscience on the Road to Resource Discovery - Maryann Martone • 10.30-11.00 - Break • 11.00-12.30 - Task Overviews • 12.30-13.30 - Lunch (incl. presentation on Brain imaging by Carl Taswell) • 13.30-16.30 - Task Breakouts (BioRDF, Pharma Ontology, Scientific Discourse) • 16.30-17.30 - Task Breakout Reports • 17.30-18.00 - Wrap Up • 18.00-19.30 - R&D Pub • 19.30 - Dinner at Cambridge Brew Company

10. Sponsored by the University of Southampton Agenda – Day Two • 08.45-09.00 - Welcome • 09.00-10.00 - myExperiment: towards Research Objects - David de Roure • 10.00-10.30 - Break • 10.30-11.00 - HCLS Strategy • 11.00-11.30 - Integration Points across Tasks • 11.30-12.00 - Conference/Paper Outreach Opportunities • 12.00-12.30 - Grant Opportunities • 12.30-13.30 - Lunch • 13.30-15.30 - Terminology Discussion • 15.30-16.00 - Wrap Up

11. State of the Union of the Semantic Web in Health Care and Life SciencesSusie Stephens,Principal Research Scientist, Eli Lilly

12. Agenda • Trends in Health Care and Life Sciences • Trends in Technology • Implication of Trends on Semantic Web

13. Trends in Health Care and Life Sciences • Genomics revolution • Tailored therapeutics • Business models • Electronic health records • Publication paradigm

14. Cell/Assay Technologies Genomics Revolution

15. Project Program Product Exploratory Launch Hit To Lead Lead To PgS Target To Hit Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Generate/Test Hypothesis Lead Optimization Pre-Clinical Development Global Launch Phase I Phase 2 Phase 3 Registration Target Hit Lead PgS CS FHD FED PD/RD FS FA FL GL Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Model & Understand Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Analyze & Mine Transform Transform Transform Transform Transform Transform Transform Transform Transform Transform Data Data Data Data Data Data Data Data Data Data Tailored Therapeutics

16. Business Models Research Development New Market Boundary of the firm Research Projects Current Market Source: H. Chesbrough, Open Innovation

17. Electronic Health Records

18. Publication Paradigm

19. Technology Trends • Cloud computing • Security, Identity • SOA • Web 2.0

20. Cloud Computing

21. Security, Identity

22. SOA

23. Web 2.0

24. Impact on the Semantic Web?

25. Semantic Web: Strengths • Business • Trends all require more flexibility, and better integration and sharing of data • Technology • Complimentary technologies are gaining considerable traction • Key Semantic Web standards are mostly in place • Linked Data has raised awareness and understanding of the Semantic Web

26. Semantic Web: Weaknesses • Business • Limited awareness of Semantic Web • Prevailing organizational culture • Lack of Semantic Web experts • Technology • Limited interaction between technologies • Ontology alignment and large scale reasoning • Complexity of the technology • Lack of quality vendor solutions

27. Semantic Web: Opportunities • Business • Bridging divide between genomics and the clinic • Interacting with domain focused standards organizations • Technology • Federated query • Easy to use interfaces • Alignment with other technologies

28. Semantic Web: Threats • Business • Technology • The use of the phrase ‘Semantic Interoperability’ confuses people • US Government focus on CDISC/HL7 • Complimentary technologies are gaining considerable traction

29. Conclusions • Many trends in HCLS are leading to increased interest in the Semantic Web • It’s important for us to interact with other groups and technologies • There are many opportunities for the HCLS IG