Ontologies for neuroscience: applications and advances
- Advances in the automatic analysis of multi-dimensional data
- Ontologies for neuroscience: applications and advances
- How should a neuron be modeled? Biophysical detail vs. abstraction
- High performance computing and grid infrastructure for neuroinformatics applications
- The neuroinformatics of neural connectivity
Workshop 2
Title: Ontologies for neuroscience: Applications and advances
Chair: Maryann Martone, University of California at San Diego, USA
Ontologies provide a means by which human knowledge can be encoded in a machine-readable form. Ontologies provide the semantic underpinnings for many powerful information systems to enhance search and analysis of neuroscience data. Because neuroscience is such a diverse discipline traversing many scales and employing many data types, ontologies also provide one of the only means to integrate data across neuroscience. Building ontologies is hard and progress in creating and deploying ontologies for neuroscience has been slow. However, in the past few years, usable ontologies and strategies for their creation for neuroscience have emerged. This symposium will provide perspectives from researchers who are actively developing and utilizing ontologies within advanced information systems in order to share and integrate neuroscience data.
Speakers:
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Tim Clark, Harvard University, USA
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Jeffrey Grethe, University of California at San Diego, USA
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Alan Ruttenberg, Science Commons, USA