semantic web for life sciences w3c bof 2005 ismb
TRANSCRIPT
Semantic Web for Life SciencesW3C
BOF 2005 ISMB
Agenda
• What is SW?
• Current Activities
• Use Case Scenarios
• Resources
• What do we need to focus on next?
What is SW?
• RDF - Web-transportable descriptive model of all information
• OWL - Web Ontology Language; 3 levels of complexity/expressivity
• Focus on Semantic rather than Syntax• Open world Graph model of all information
on the Web• Rules - SWRL
DTD
RDF-XML
Semantic Web for Life Sciences
• An Open Scientific Forum for – Defining Cross-Disciplinary Life Science needs– Show-Casing Working Examples– Initiating SW Work Groups– Capturing Best Practices
• Charter being completed• Promote LSID awareness and use• Sandbox for BioDASH demo and semantic lenses• Identify Semantic Issues for CT and HC• Recent members include Merck, caBIG/NCI,
TeraNode
W3C Semantic Web for Life Sciences
• Mission Statement
The Semantic Web for Life Sciences (SWLS) Interest Group is chartered to facilitate use of Semantic Web in life sciences, drug discovery, and healthcare through the development of core vocabularies, implementation of unique identifiers, and discussion of implementations among users.
The SWLS Working Group will also work with the other Semantic Web working groups and the Semantic Web Interest Group to gather suggestions for further SWLS development work and liaison with other Working Groups within the W3C and other organizations to promote the use of Semantic Web technologies and foster the growth of machine-readable, policy-aware data and databases in the life sciences.This work falls within the Technology and Society Domain.
Potential SW Applications
• Data Integration and Aggregation• Semantic Interoperability for Services• Manage Terminology and Semantics of Communities • Semantically Linking Scientific Literature• Organization and Business Flow Modeling• Manage Knowledge Assets: R&D insights, IP
Ref: “A Life Science Semantic Web: Are We There Yet?” Science-STKE issue 283, pp. pe22, 10 May 2005
6 Proposed Objectives for SW in Life Sciences
1. Database Conversions and Transforms: query in SPARQL and retrieve in RDF
2. Unique identifiers that are supported by the SW URI model
3. Tools Conversant in RDF-OWL (Web-Services)4. Coordination and management of terminologies and
ontologies: SW collaborative communities 5. Knowledge-encoding practices: Named-Graphs for
theories, hypotheses, models6. Semantics accounts and channels: store and share
semantic annotations (based on RDF)
SWLS Current and Proposed Activities• Enabling (wrapping) Databases in RDF
– MolBio (NCBI, Uniprot), Pathways (BioPAX), – RDB-Access, XML-RDAL, SPARQL
• Development and demonstration of the public tools– Haystack, Simile, JENA, ?
• Need to define “Context”: Use cases?– Types: Biological, Axiomatic, Experimental– Named Graphs:
http://www.wiwiss.fu-berlin.de/suhl/bizer/pub/Carroll_etall-TrustWorkshop-ISWC2004.pdf
• Public Semantic spaces (shareable annotations)
BioDASH Topic View
Haystack Semantic Web Browser – MIT/IBMhttp://haystack.lcs.mit.edu
Tools
• RDB-RDF-Access - – http://www.w3.org/2004/04/30-RDF-RDB-access/
– http://www.w3.org/2004/10/04-pharmaFederate/
• XML-->RDF - http://www.w3.org/2005/02/13-KEGG/
• Protégé - http://protege.stanford.edu/
• SESAME - http://www.openrdf.org/
• JENA - http://www.hpl.hp.com/semweb/jena2.htm
• SWOOP - http://www.mindswap.org/2004/SWOOP/
Demos/POCs
• BioDash/Haystack - – http://www.w3.org/2005/04/swls/BioDash/Demo/
• Simile/Longwell/Welkin -– http://www.w3.org/2005/04/swls/simile/ – myGRID-Taverna -
• http://taverna.sourceforge.net/
• Connotea (NPG) - • http://www.connotea.org/
Pathway Polymorphisms
•Identify targets with lowest chance of variance
•Predict parts of pathways with highest functional variability
•Map genetic influence to potential pathway elements
•Select mechanisms of action that are minimally impacted by polymorphisms
Pathway Semantic Lens exampleadd { :predicateSet
rdf:type graph:CollectionPredicateSet ;
rdf:type graph:PredicateSet ;
dc:title "BioPAX pathway arrows" ;
hs:member biopax:NEXT-STEP ;
hs:member :pointingTo ;
hs:member ${
rdf:type vowl:RDFQueryLens ;
vowl:sourceExistential ?s ;
vowl:targetExistential ?t ;
rdfs:label "" ;
vowl:existentials @( ?s ?t ?type ) ;
vowl:statement ${
vowl:subject ?type ;
vowl:predicate biopax:LEFT ;
vowl:object ?s
} ;
vowl:statement ${
vowl:subject ?type ;
vowl:predicate biopax:RIGHT ;
vowl:object ?t
}
}
}
Multiple Ontologies Used Together
Drug targetontologyFOAF
Patentontology
OMIM
Person
Group
Chemicalentity
Disease
SNP
BioPAX
UniProt
Extant ontologies
Protein
Under development
Bridge concept
UMLS
DiseasePolymorphisms
PubChem
Scales of Ontologies
• Large Vertical Models (UMLS, GO) – common semantics• Small Locally-defined models – local definitions specific
to organizations• Bridging Ontologies – small semantics used to adjoin
elements of other ontologies• Ad hoc forms by individuals that are explorative and
evolving
Power of Semantic Lenses in Research
• Separates information collection and presentation from information processing: not all require coding!
• Database federation can be achieved using lenses• Allows users to create powerful context-specific views of combined
information, that can be annotated and shared• Lenses do not require programming, can be extended, and can be
shared/traded• Less development time, more definition be scientists More can be
achieved in less time and for less cost!
SIMILE-MIT
• Annotation Accounts
• Piggy-Bank plug-in for FireFox
• Welkin SW Graph viewer
New Regulatory Issues Confronting Pharmaceutics
from Innovation or Stagnation, FDA Report March 2004
Tox/EfficacyADME Optim
Support All StakeholdersRelate information from different platforms and different projects
What should we do next?
• caBIG coordination
• Clarify LSID <=> RDF id relations
• Handling Ontology versioning
• Citation and references in LSIDs
How to become active?
• Mailing list - [email protected]
• Coordinate your projects with us
• Become a W3C member Semantic Web for Life Sciences
• www.w3.org/2005/04/swls