Difference between revisions of "Workshop Agenda"

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#* Expressing biological concepts in terms of an ontology <b>[Stanford]</b>
 
#* Expressing biological concepts in terms of an ontology <b>[Stanford]</b>
 
#<b>Ontology Usage (1PM-5PM)</b>
 
#<b>Ontology Usage (1PM-5PM)</b>
#**   Example scenarios from current cBiO Core 3 projects (sequence data annotation, PaTO) <b>[Stanford]</b>
+
#*   Example scenarios from current cBiO Core 3 projects (sequence data annotation, PaTO) <b>[Stanford]</b>
#**   Possible future directions (formal relation ontologies and composed annotations) <b>[Stanford]</b>
+
#*   Possible future directions (formal relation ontologies and composed annotations) <b>[Stanford]</b>
#**   Image annotation with ontologies <b>[Stanford]</b>
+
#*   Image annotation with ontologies <b>[Stanford]</b>
 
===Mar 1===
 
===Mar 1===
 
#<b>Basics of Ontologies (9AM-Noon)</b>
 
#<b>Basics of Ontologies (9AM-Noon)</b>

Revision as of 16:31, 1 February 2006

Feb 28

  1. Background and motivation (9AM-10AM)
    • Brief overview of major biological problems BIRN seeks to address [BIRN]
  2. Tools (10AM-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]
    • Expressing biological concepts in terms of an ontology [Stanford]
  3. Ontology Usage (1PM-5PM)
    • Example scenarios from current cBiO Core 3 projects (sequence data annotation, PaTO) [Stanford]
    • Possible future directions (formal relation ontologies and composed annotations) [Stanford]
    • Image annotation with ontologies [Stanford]

Mar 1

  1. Basics of Ontologies (9AM-Noon)
    • How to Build an Ontology [Barry]
    • Discuss current capabilities and challenges related to ontologies in BIRN [BIRN]
  2. Content (1PM-5PM)
    • 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]
    • Best practices; lessons learned from other ontology development projects [Barry]
  3. Potential Applications: what do we need to get there from here?
    • Integrate multi-scale, multi-modality (images, molecular, functional) data for discovery
    • Computer reasoning with neuroanatomical/spatial component of Neuroscience data