Transcript Semantic Web State of the Union

W3C Semantic Web for Health Care
and Life Sciences Interest Group
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
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
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
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
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)
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
– [email protected]
W3C Semantic Web for Health Care
and Life Sciences Interest Group
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
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
Sponsored by the University of
Southampton
State of the Union of the Semantic
Web in Health Care and Life Sciences
Susie Stephens,
Principal Research Scientist, Eli Lilly
Agenda
• Trends in Health Care and Life Sciences
• Trends in Technology
• Implication of Trends on Semantic Web
Trends in Health Care and Life Sciences
• Genomics revolution
• Tailored therapeutics
• Business models
• Electronic health records
• Publication paradigm
Genomics Revolution
Cell/Assay
Technologies
Tailored Therapeutics
Project
Exploratory
Hit
To
Lead
Target
To
Hit
Target
Program
Hit
Lead
To
PgS
Lead
Launch
Lead
Pre-Clinical
Optimization Development
PgS
CS
Product
Phase I
Phase 2
Phase 3
Registration
FHD
FED
PD/RD
FS
FA
FL
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
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
Global
Launch
GL
Business Models
Research
Development
New Market
Boundary
of the firm
Research
Projects
Current Market
Source: H. Chesbrough, Open Innovation
Electronic Health Records
Publication Paradigm
Technology Trends
• Cloud computing
• Security, Identity
• SOA
• Web 2.0
Cloud Computing
Security, Identity
SOA
Web 2.0
Impact on the Semantic Web?
Semantic Web: Strengths
• Business
•
Trends all require more flexibility, and better integration
and sharing of data
• Technology
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•
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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
Semantic Web: Weaknesses
• Business
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•
•
Limited awareness of Semantic Web
Prevailing organizational culture
Lack of Semantic Web experts
• Technology
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Limited interaction between technologies
• Ontology alignment and large scale reasoning
• Complexity of the technology
• Lack of quality vendor solutions
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
Semantic Web: Threats
• Business
• Technology
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•
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The use of the phrase ‘Semantic Interoperability’
confuses people
US Government focus on CDISC/HL7
Complimentary technologies are gaining considerable
traction
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