W3C Semantic Web for Health Care and Life Sciences Interest Group
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Transcript of W3C Semantic Web for Health Care and Life Sciences Interest Group
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W3C Semantic Web for Health Care and Life Sciences Interest Group
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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
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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
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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
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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
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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)
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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
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W3C Semantic Web for Health Care and Life Sciences Interest Group
Sponsored by the University of Southampton
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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
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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
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State of the Union of the Semantic Web in Health Care and Life Sciences
Susie Stephens,Principal Research Scientist, Eli Lilly
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Agenda
• Trends in Health Care and Life Sciences
• Trends in Technology
• Implication of Trends on Semantic Web
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Trends in Health Care and Life Sciences
• Genomics revolution
• Tailored therapeutics
• Business models
• Electronic health records
• Publication paradigm
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Genomics Revolution
Cell/AssayTechnologies
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Tailored Therapeutics
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Target Hit Lead PgS CS FHD FED PD/RD FS FA FL GL
TargetToHit
HitTo
Lead
LeadTo
PgS
LeadOptimization
Pre-ClinicalDevelopment
Phase I Phase 2 Phase 3Registration
LaunchGlobalLaunch
Project Program Product
Exploratory
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
Data
Transform
Model &Understand
Generate/TestHypothesis
Analyze& Mine
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Boundary of the firm
ResearchProjects
Source: H. Chesbrough, Open Innovation
Business Models
Research Development
Current Market
New Market
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Electronic Health Records
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Publication Paradigm
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Technology Trends
• Cloud computing
• Security, Identity
• SOA
• Web 2.0
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Cloud Computing
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Security, Identity
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SOA
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Web 2.0
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Impact on the Semantic Web?
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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
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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
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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
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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
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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