Difference between revisions of "Workshop Agenda"
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#*<b>10-10:30</b>Break | #*<b>10-10:30</b>Break | ||
#*<b>10:30-11:30</b> How to Build an Ontology <b>[Barry]</b> | #*<b>10:30-11:30</b> How to Build an Ontology <b>[Barry]</b> | ||
− | #*<b>11:30-noon</b> The Ontology of | + | #*<b>11:30-noon</b> The Ontology of Relations <b>[Barry]</b> |
#<b>Content (1PM-3PM)</b> | #<b>Content (1PM-3PM)</b> | ||
#*<b>1-2pm</b> Best practices; lessons learned from other ontology development projects <b>[Barry]</b> | #*<b>1-2pm</b> Best practices; lessons learned from other ontology development projects <b>[Barry]</b> |
Revision as of 09:27, 17 February 2006
Feb 28
- Background and motivation (9AM-10AM)
- Brief overview of major biological problems BIRN seeks to address [BIRN]
- 10-10:15amBreak
- Tools (10:15AM-Noon)
- Discussion and presentation of tools used by BIRN (e.g., Bonfire, Mediator) [BIRN]
- Tutorial on Protégé and some of its more advanced features (examples from other ontology projects) [Stanford]
- Discussion
- Ontology Usage (1PM-5PM)
- 1-2:30pm Example scenarios from current cBiO Core 3 projects (sequence data annotation, PaTO, epressing biological concepts in terms of an ontology) [Stanford]
- 2:30-3pm Break
- 3-4pm Possible future directions (formal relation ontologies, composed annotations, image annotation with ontologies) [Stanford]
- 4-5pm Discussion
Mar 1
- Basics of Ontologies (9AM-Noon)
- 9-10am Discuss current capabilities and challenges related to ontologies in BIRN [BIRN]
- 10-10:30Break
- 10:30-11:30 How to Build an Ontology [Barry]
- 11:30-noon The Ontology of Relations [Barry]
- Content (1PM-3PM)
- 1-2pm Best practices; lessons learned from other ontology development projects [Barry]
- 2-3pm Look at ontologies used by BIRN in depth (send out BIRN ontologies for us to review in advance)
- BIRN Ontologies: An Overview [Barry]
- The Ontology of Spatial Relations [Barry]
- 3-3:30pmBreak
- Potential Applications: what do we need to get there from here? (3:30PM-5PM)
- Integrate multi-scale, multi-modality (images, molecular, functional) data for discovery
- Computer reasoning with neuroanatomical/spatial component of Neuroscience data