|Title: ||Anatomy ontologies and potential users: bridging the gap|
|Issue Date: ||9-Aug-2011|
|Abstract: ||Abstract Motivation To evaluate how well current anatomical ontologies fit the way real-world users apply anatomy terms in their data annotations. Methods Annotations from three diverse multi-species public-domain datasets provided a set of use cases for matching anatomical terms in two major anatomical ontologies (the Foundational Model of Anatomy and Uberon), using two lexical-matching applications (Zooma and Ontology Mapper). Results Approximately 1500 terms were identified; Uberon/Zooma mappings provided 286 matches, compared to the control and Ontology Mapper returned 319 matches. For the Foundational Model of Anatomy, Zooma returned 312 matches, and Ontology Mapper returned 397. Conclusions Our results indicate that for our datasets the anatomical entities or concepts are embedded in user-generated complex terms, and while lexical mapping works, anatomy ontologies do not provide the majority of terms users supply when annotating data. Provision of searchable cross-products for compositional terms is a key requirement for using ontologies.|
|Description: ||RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are.|
|Other Identifiers: ||http://dx.doi.org/10.1186/2041-1480-2-S4-S3|
|Appears in Collections:||Scholarly works - Physiology, Development and Neuroscience|
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