Difference between revisions of "Workshop on Ontology of Images"
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- preliminary discussions directed towards building an ontology of imaging tools and data, including issues related to the classification of imaging algorithms and to the potential uses of a tools ontology in supporting interoperability of bioinformatics software (in conjunction with the [http://na-mic.org/Wiki/index.php/SDIWG:Software_and_Data_Integration_Working_Group Software and Data Integration Working Group] of the NIH Roadmap National Centers for Biomedical Computing). | - preliminary discussions directed towards building an ontology of imaging tools and data, including issues related to the classification of imaging algorithms and to the potential uses of a tools ontology in supporting interoperability of bioinformatics software (in conjunction with the [http://na-mic.org/Wiki/index.php/SDIWG:Software_and_Data_Integration_Working_Group Software and Data Integration Working Group] of the NIH Roadmap National Centers for Biomedical Computing). | ||
− | The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies. It has been made possible by financial support from GlaxoSmithKline (GSK) and Language & Computing (L&C). An [[ | + | The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies. It has been made possible by financial support from GlaxoSmithKline (GSK) and Language & Computing (L&C). An [[agenda]] is provided here. [[Hotel]] and related information is provided here. |
− | |||
== Participants == | == Participants == |
Revision as of 09:15, 11 January 2006
Background
The National Center for Biomedical Ontology will host a two-day workshop focused on the ontology of (biomedical) images. The goal of the workshop, which will take place on March 24-25, 2006 in Stanford, is to coordinate current efforts towards the development of a biomedical image/imaging ontology. The following topics will be addressed:
- basic principles of sound ontologies
- steps towards coordination and integration of ontologies in the imaging domain
- hands-on experiments directed towards building a biomedical image ontology (dealing with: images and image-classification, image features, interpretations, relation of images to reality, the role of a reference ontology such as the FMA)
- preliminary discussions directed towards building an ontology of imaging tools and data, including issues related to the classification of imaging algorithms and to the potential uses of a tools ontology in supporting interoperability of bioinformatics software (in conjunction with the Software and Data Integration Working Group of the NIH Roadmap National Centers for Biomedical Computing).
The workshop is designed to be of value to all those involved in biocomputing in the imaging domain, including representatives of those NCBCs who use or develop imaging technologies. It has been made possible by financial support from GlaxoSmithKline (GSK) and Language & Computing (L&C). An agenda is provided here. Hotel and related information is provided here.
Participants
Yasser alSafadi (Philips Research)
Carol Bean (NCRR)
Bruce Bray (Utah)
James A Butler (GlaxoSmithKline)
John Carrino (Partners)
Werner Ceusters (Buffalo)
David Clunie (RadPharm, Princeton)
C. Forbes Dewey (MIT)
Ivo Dinov (UCLA)
Keith Dreyer (Harvard)
Christine Golbreich (Rennes)
Donald Harrington (NIBIB)
Frank Hartel (NCI)
Dave Helman (L&C)
Peter Hunter (Aukland)
David Kennedy (Harvard)
Richard I. Kitney (Imperial College, London)
Anand Kumar (IFOMIS)
Curtis Langlotz (University of Pennsylvania)
Suzanna Lewis (Berkeley)
William Lorensen (General Electric)
Yves Lussier (Columbia)
Peter F. Lyster (NIH/NIGMS)
Dirk Marwede (IFOMIS)
Robin A. McEntire (GlaxoSmithKline)
Robert Murphy (CMU)
Mark Musen (Stanford)
Dianne Reeves (NCI)
Daniel Rubin (Stanford)
Mariana Casella Dos Santos (L&C, Belgium)
Barry Smith (Buffalo)
Some Relevant Links
The Open Microscopy Environment (OME) Data Model
OBO Biological Imaging Methods
RadLex: A Lexicon for Uniform Indexing and Retrieval of Radiology Information Resources
David Clunie's Medical Image Format Site