ICBO

Ontologies are being used in a variety of ways by researchers in almost every life science discipline, and their use in annotation of both clinical and experimental data is now a common technique in integrative translational research. Principles-based ontologies are being developed for the description of biological and biomedical phenomena of almost every different type. To be maximally effective, such ontologies must work well together. But as ontologies become more commonly used, the problems involved in achieving coordination in ontology development become ever more urgent. To address these problems there is a need for an overarching conference which brings together representatives of all major communities involved in the development and application of ontologies in biomedicine and related areas. ICBO is designed to meet this need.

KEYNOTE SPEAKERS

Bernard de Bono

European Bioinformatics Institute

Virtual

Physiological

Human Project

Roberto Rocha

Partners Healthcare

Practical Applications

of Ontologies in

Clinical Systems

Organizing Committee

Barry Smith, University at Buffalo (Conference Chair)

Judith Blake, The Jackson Laboratory ▪ Suzanna E. Lewis, Lawrence Berkeley National Laboratory

Mark Musen, Stanford University ▪ Alan Ruttenberg, University at Buffalo

Susanna-Assunta Sansone, Oxford University ▪ Dagobert Soergel, University at Buffalo

Chris Stoeckert, University of Pennsylvania

Program Committee Chairs
Alan Ruttenberg, University at Buffalo (Chair)

Olivier Bodenreider, NIH National Library of Medicine (Co-Chair)

Maryann Martone, University of California at San Diego (Co-Chair)

Stefan Schulz, Medical University of Graz, Austria (Workshops and Tutorials Chair)

Albert Goldfain, Blue Highway, LLC and University at Buffalo (Doctoral and Postdoctoral Colloquium Chair)

Trish Whetzel, Stanford University (Software Demonstrations Chair)

Program Committee Members

Colin Batchelor, Royal Society of Chemistry ▪ Thomas Beale, Ocean Informatics ▪ Judith Blake, The Jackson Laboratory

Sebastian Brandt, University of Manchester ▪ Werner Ceusters, University at Buffalo ▪ Rex Chisholm, Northwestern University

Jim Cimino, National Institutes of Health ▪ Melanie Courtot, British Columbia Cancer Research Centre

Lindsay Cowell, University of Texas Southwestern Medical Center ▪ Alexander Diehl, University at Buffalo

Michel Dumontier, Carleton University ▪ Louis J. Goldberg, University at Buffalo ▪ Janna Hastings, European Bioinformatics Institute

Pascal Hitzler, Wright State University ▪ Robert Hoehndorf, University of Cambridge ▪ Larry Hunter, University of Colorado

Marijke Keet, School of Computer Science, University of KwaZulu-Natal ▪ Jobst Landgrebe, Cognotekt UG, Cologne, Germany

Suzanna E. Lewis, Lawrence Berkeley National Laboratory ▪ Philip Lord, Newcastle University ▪ J. L. E. Mejino, Jr., University of Washington

Alexa McCray, Harvard Medical School ▪ Christopher Mungall, Lawrence Berkeley National Laboratory ▪ Mark Musen, Stanford University

Darren Natale, Georgetown University ▪ Chimezie Ogbuji, Cleveland Clinic ▪ Helen Parkinson, European Bioinformatics Institute

Bjoern Peters, La Jolla Institute for Allergy and Immunology ▪ Daniel Rubin, Stanford University ▪ Peter Robinson, Charité Hospital, Berlin

Susanna-Assunta Sansone, Oxford University ▪ Ulrike Sattler, University of Manchester

Richard Scheuermann, University of Texas Southwestern Medical Center ▪ Barry Smith, University at Buffalo

Dagobert Soergel, University at Buffalo ▪ Robert Stevens, Manchester University

Ida Sim, University of California at San Francisco ▪ Harold Solbrig, Mayo Clinic

Kent Spackman, International Health Terminology Standards Development Organization

Chris Stoeckert, University of Pennsylvania ▪ Cathy Wu, Georgetown University / University of Delaware

University at Buffalo's National Center for Ontological Research (NCOR) ▪ National Center for Biomedical Ontology (NCBO)

Computer Task Group (CTG), Cognigen Corporation, International Medical Informatics Association (IMIA) WG6 and the Protein Ontology (PRO)

American Medical Informatics Association Working Group in Knowledge Representation and Semantics (KR-MED)

We would also like to acknowledge generous support from the National Human Genome Research Institute (NHGRI)

Funding for this conference was made possible in part by the United States National Institutes of Health (NIH) through the NIH Roadmap for Medical Research, Grant 1 U54 HG004028, and by 1 R13 HG006231-01 from the National Human Genome Research Institute (NHGRI). The views expressed in written conference materials or publications and by speakers and moderators do not necessarily reflect the official policies of the Department of Health and Human Services or the National Institutes of Health; nor does mention by trade names, commercial practices, or organizations imply endorsement by the U.S. Government. Information on the National Centers for Biomedical Computing can be found at http://nihroadmap.nih.gov/bioinformatics.