Abstract
BrainInfo (http://braininfo.org) is a growing portal to neuroscientific information on the Web. It is indexed by NeuroNames, an ontology designed to compensate for ambiguities in neuroanatomical nomenclature. The 20-year old ontology continues to evolve toward the ideal of recognizing all names of neuroanatomical entities and accommodating all structural concepts about which neuroscientists communicate, including multiple concepts of entities for which neuroanatomists have yet to determine the best or ‘true’ conceptualization. To make the definitions of structural concepts unambiguous and terminologically consistent we created a ‘default vocabulary’ of unique structure names selected from existing terminology. We selected standard names by criteria designed to maximize practicality for use in verbal communication as well as computerized knowledge management. The ontology of NeuroNames accommodates synonyms and homonyms of the standard terms in many languages. It defines complex structures as models composed of primary structures, which are defined in unambiguous operational terms. NeuroNames currently relates more than 16,000 names in eight languages to some 2,500 neuroanatomical concepts. The ontology is maintained in a relational database with three core tables: Names, Concepts and Models. BrainInfo uses NeuroNames to index information by structure, to interpret users’ queries and to clarify terminology on remote web pages. NeuroNames is a resource vocabulary of the NLM’s Unified Medical Language System (UMLS, 2011) and the basis for the brain regions component of NIFSTD (NeuroLex, 2011). The current version has been downloaded to hundreds of laboratories for indexing data and linking to BrainInfo, which attracts some 400 visitors/day, downloading 2,000 pages/day.
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Acknowledgments
The authors wish to thank Maryann Martone for current information on the translation of NeuroNames into OWL and Erik McArthur for assistance in the production of figures for this report. The work was supported by the International Neuroinformatics Coordinating Facility (INCF) and by grants LM-008247, MH-069259 and RR-000166 from the U.S. National Institutes of Health, to the University of Washington.
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Bowden, D.M., Song, E., Kosheleva, J. et al. NeuroNames: An Ontology for the BrainInfo Portal to Neuroscience on the Web. Neuroinform 10, 97–114 (2012). https://doi.org/10.1007/s12021-011-9128-8
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DOI: https://doi.org/10.1007/s12021-011-9128-8