HCLS/WWW2008

From W3C Wiki

SEMANTIC WEB FOR HEALTH CARE AND LIFE SCIENCES WORKSHOP

APRIL 22, 2008

held in conjunction with

THE 17th INTERNATIONAL WORLD WIDE WEB CONFERENCE

APRIL 21-25, 2008

BEIJING, CHINA

Biomedical researchers need to be able to ask questions that span many heterogeneous data sources in order to make well-informed decisions. For this to be achieved, data about drugs, patients, diseases, genes, proteins, and pathways must be effectively integrated. Yet the integration of disparate biomedical data continues to be a challenge to achieve.

Many organizations are now exploring the use of Semantic Web technologies in the hope of easing the effort of data integration. The benefits promised by the Semantic Web include aggregation of heterogeneous data using explicit semantics, simplified annotation and sharing of findings, the expression of rich and well-defined models for data aggregation and search, easier reuse of data in unanticipated ways, and the application of logic to infer additional insights.

W3C has established the Semantic Web for Health Care and Life Sciences (HCLSIG) Interest Group to help organizations in their adoption of the Semantic Web. The HCLSIG is chartered to develop and support the use of Semantic Web technologies to improve collaboration, research and development, and innovation adoption in the domains of Health Care and Life Sciences. As a part of realizing this vision, we are organizing a workshop on the Semantic Web for Health Care and Life Sciences in conjunction with WWW2008.

Location

The workshop will be held in room 305A, Beijing International Convention Center.

Program

Time Presentation Title
08.30 - 08.45 Welcome
08.45 - 09.35 Scaling the Walls of Discovery: Using Semantic Metadata for Integrative Problem Solving
09.35 - 10.00 Modeling the Pharmacogenomics of Depression
10.00 - 10.30 Break
10.30 - 10.55 Web Ontology Engineering and Applications: A Case Study in Chinese Medicine
10.55 - 11.20 Capturing and Modeling Neuro-radiological Knowledge on a Community Basis, the Head Injury Scenario
11.20 - 11.40 A Scale-Out RDF Molecule Store for Distributed Processing of Biomedical Data
11.40 - 12.00 Semantic Graph Mining for Biomedical Complex Network Analysis
12.00 - 1.30 Lunch
1.30 - 2.20 BioMoby and CardioSHARE: Attempting to Merge the Semantic Web and Web Services Worlds
2.20- 2.40 Entrez Neuron: an OWL$RDFa–based Web Application for Information Exploration and Integration in Neuroscience
2.40 - 3.00 Linked Data in a Scientific Collaboration Framework
3.00 - 3.30 Break
3.30 - 3.50 Finding Experts for Clinical Trials
3.50 - 4.50 Panel: Integrating Semantic Web Communities in Health Care and Life Sciences
4.50 - 5.00 Wrap Up

Audience

The workshop encourages participation from industry and academia with an emphasis on the practical aspects of applying Semantic Web technologies to the challenges of Health Care and the Life Sciences. We encourage participation from Pharmaceutical and Biotech Companies, Health Care Organizations, Universities and Research Institutes, IT Vendors, and Government Agencies.

Program Committee

  • Dean Allemang, TopQuadrant
  • Christopher Baker, A-STAR
  • Olivier Bodenreider, National Library of Medicine, NIH
  • Keith Boyce, ImmuneTolerance
  • Cory Brouwer, Pfizer
  • Bill Bug, UCSD
  • Helen Chen, AGFA
  • William Cheung, Hong Kong Baptist University
  • Tim Clark, Harvard University
  • Sudeshna Das, Harvard University
  • Don Doherty, Brainstage
  • Lee Feigenbaum, Cambridge Semantics
  • Andrew Gibson, University of Manchester
  • Carole Goble, University of Manchester
  • Yufeng Guo, China Academy of Traditional Chinese Medicine
  • Amarnath Gupta, SDSC
  • Volker Haarslev, Concordia University
  • Peter Haase, University of Karlsruhe
  • William Hayes, BiogenIdec
  • Yusheng He, Peking University
  • Ivan Herman, W3C
  • Vipul Kashyap, Partners Healthcare
  • Marijke Keet, Free University of Bolen-Bolzano
  • Phil Lord, Newcastle University
  • M. Scott Marshall, University of Amsterdam
  • Robin McEntire, GlaxoSmithKline
  • Parsa Mirhaji, University of Texas
  • Mark Musen, Stanford University
  • Fabian Neuhaus, NIST
  • Eric Neumann, Clinical Semantics
  • Chimezie Ogbuji, Cleveland Clinic
  • Elgar Pichler, AstraZeneca
  • Matthew Pocock, Newcastle University
  • Daniel Rubin, Stanford University
  • Matthias Samwald, DERI Galway
  • Susanna Sansone, EBI
  • Michael Schroeder, Dresden University
  • Nigam Shah, Stanford University
  • Amit Sheth, Wright State University
  • Robert Stevens, University of Manchester
  • Rudi Studer, Karlsruhe University
  • Adam West, Eli Lilly
  • Katy Wostencroft, University of Manchester
  • Xuezhong Zhou, Nornern Jiaotong University

Organizing Committee

  • Huajun Chen, Zhejiang University (huajunsir@zju.edu.cn)
  • Kei Cheung, Yale University (kei.cheung@yale.edu)
  • Michel Dumontier, Carleton University (michel_dumontier@carleton.ca)
  • Eric Prud’hommeaux, W3C (eric@w3.org)
  • Alan Ruttenberg, Science Commons (alanruttenberg@gmail.com)
  • Susie Stephens, Lilly (stephens_susie_m@lilly.com)
  • Yimin Wang, University of Karlsruhe (ywa@aifb.uni-karlsruhe.de)