Panel: Current Semantic Web standards and technologies offer innovative and cost effective HCLS solutions TODAY!

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Panel Current Semantic Web standards and
technologies offer innovative and cost effective
HCLS solutions TODAY!

• Carole Goble
• WWW 2007 Healthcare and Life Sciences Data
  Integration Workshop

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Scientists

• Scientists are Naughty.
• e-Science is me-Science.
• Low cost of adoption. Surmountable obstacles.
• Fit into my world and what I do.
• Dont give me pre-defined recipes or tie me down.
• Freedom and control
• Jam today and more and better jam tomorrow
• Just enough, just in time when its worth it.
• Content data, workflows, services.

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• Getting nations to pull together is hard. Just
  look at the EU constitution. Politics and People.
  War and Division. Self interest. Constant flux.
• Heterogeneity Figure out an identity management
  mechanism. Show that mapping works.
• Autonomy Get service provider buy-in.
• Volatility Demonstrate can cope with churn.

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outputscore is_distance_between pair
inputsequence a, inputsequence b
Increasing value Increased automation Better
understanding
input_typeseq_a sequence output_typescore
d_value
performs_task alignment
A tool to compare multiple protein structures
Investment (cost, effort)
myalignscript.pl
Ontology Curation
Folksonomy Tagging
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Just enough, just in time
Value
Neat
Quantity
Phase 3 Publication
Phase 1 Playing
Phase 2 Production
Scruffy
Investment (cost, effort)
Value (Time, Popularity)
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Semantic Infrastructure is infrastructure.Oh,
for a back end metadata platform.

• A range of objects enriched with annotations
• A spectrum of richness and quality of semantics
  in multiple forms
• Incremental, progressive curation methodology
• Metadata over third party resources and by third
  parties
• Non-uniform identity model
• Dynamic and changeable metadata needs
  book-keeping services
• Traceability of changes
• Access control over metadata
• Need to export, exchange and interoperate
  metadata between different applications in a
  distributed manner or else you have silos.

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Accessible e-Semantic Science Oh, for an easy to
use front end.

• High-level tools.
• Convenient user-controlled composition.
• Lightweight and Rapid.
• Responsibility Credit.
• Web 2.0 inspiration.

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Semantic Web Integration demos

• Build an RDF warehouse (e.g. YeastHub)
• Because you can. Then what?
• Did it help with churn? Could you query over it?
• Assemble an RDF cache on demand (e.g. BioDash)
• Usually mashing - integration done in the mash up
• Application specific
• Putting a lot of RDF in a bucket isnt
  integration. Not unless the RDF is the same
  schema and using the same concepts (à la
  CombeChem).

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