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- paper-41 type InProceedings.
- paper-41 label "An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy".
- paper-41 sameAs paper-41.
- paper-41 abstract "The nervous system, perhaps more so than any other tissue, requires the fine spatial resolution of high resolution microscopy to resolve the intricate structure of individual nerve cells and supracellular domains. The analysis of such imaging data often involves the extraction of cellular surfaces and cell components. The resulting geometries are used to derive measurements or, when combined with additional information, as the basis of a computational model. In an effort to streamline the process of model creation, we are working to create a knowledge environment where researchers can access well-annotated geometrical models of neuronal ultrastructure and a knowledge base of cell structure. Underlying this system is a formal ontology that describes the subcellular anatomy of the nervous system (SAO), covering nerve cells and their processes. In this report, we describe the structure and content of the SAO along with SAO-based tools for annotation and query of electron microscopic data.".
- paper-41 hasAuthorList authorList.
- paper-41 keyword "Data Integration".
- paper-41 keyword "Database".
- paper-41 keyword "Nervous System".
- paper-41 keyword "Protege".
- paper-41 keyword "Reasoning".
- paper-41 title "An Ontology-Driven Knowledge Environment For Subcellular Neuroanatomy".