Literature DB >> 18368361

Creating neuroscience ontologies.

Douglas M Bowden1, Mark Dubach, Jack Park.   

Abstract

The insufficiency of terminological standards in neuroscience is increasingly recognized as a serious obstacle to interoperability. Adoption of a controlled vocabulary is a successful solution for small numbers of groups that work closely together but is impractical for large numbers of groups who represent diverse areas of research, index information by various legitimate nomenclatures, or publish in different languages. Interoperability among such disparate databases requires a translation mechanism, or "mediator," to enable communication and data sharing among databases. Shared ontologies are essential components of a mediator. An ontology codifies the relations between terms of multiple nomenclatures and the concepts they represent. Neuroanatomy is central to neuroscience, and neuroanatomical terminology represents a core portion of the vocabulary of neuroscience. We have created in NeuroNames an ontology of 2500 neuroanatomical concepts referenced by 15,000 terms in seven languages. NeuroNames is the mediator for BrainInfo, a portal to neuroanatomy on the Web. We hope that a description of our experience in establishing interoperability between BrainInfo and other neuroscience Web sites may be useful to others engaged in the development of ontologies for neuroscience.

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Year:  2007        PMID: 18368361     DOI: 10.1007/978-1-59745-520-6_5

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  8 in total

1.  Using text mining to link journal articles to neuroanatomical databases.

Authors:  Leon French; Paul Pavlidis
Journal:  J Comp Neurol       Date:  2012-06-01       Impact factor: 3.215

2.  neuroVIISAS: approaching multiscale simulation of the rat connectome.

Authors:  Oliver Schmitt; Peter Eipert
Journal:  Neuroinformatics       Date:  2012-07

3.  Functional MRI at the crossroads.

Authors:  John Darrell Van Horn; Russell A Poldrack
Journal:  Int J Psychophysiol       Date:  2008-11-18       Impact factor: 2.997

4.  The NIFSTD and BIRNLex vocabularies: building comprehensive ontologies for neuroscience.

Authors:  William J Bug; Giorgio A Ascoli; Jeffrey S Grethe; Amarnath Gupta; Christine Fennema-Notestine; Angela R Laird; Stephen D Larson; Daniel Rubin; Gordon M Shepherd; Jessica A Turner; Maryann E Martone
Journal:  Neuroinformatics       Date:  2008-10-31

5.  Automated cognome construction and semi-automated hypothesis generation.

Authors:  Jessica B Voytek; Bradley Voytek
Journal:  J Neurosci Methods       Date:  2012-05-11       Impact factor: 2.390

6.  A Bottom-up Approach to Data Annotation in Neurophysiology.

Authors:  Jan Grewe; Thomas Wachtler; Jan Benda
Journal:  Front Neuroinform       Date:  2011-08-30       Impact factor: 4.081

7.  An ontology-based search engine for digital reconstructions of neuronal morphology.

Authors:  Sridevi Polavaram; Giorgio A Ascoli
Journal:  Brain Inform       Date:  2017-03-23

8.  Ontologies for Neuroscience: What are they and What are they Good for?

Authors:  Stephen D Larson; Maryann E Martone
Journal:  Front Neurosci       Date:  2009-05-01       Impact factor: 4.677

  8 in total

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