Systematic identification and correction of spelling errors in the foundational model of anatomy

Authors:
Phil Gooch
Affiliations:
City University London, London, UK
Venue:
Proceedings of the 4th International Workshop on Semantic Web Applications and Tools for the Life Sciences
Year:
2011

Citing 3
Cited 0

A reference ontology for biomedical informatics: the foundational model of anatomy

Journal of Biomedical Informatics - Special issue: Unified medical language system
The foundational model of anatomy in OWL: Experience and perspectives

Web Semantics: Science, Services and Agents on the World Wide Web
Translating the Foundational Model of Anatomy into OWL

Web Semantics: Science, Services and Agents on the World Wide Web

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Abstract

We describe a method for automating the detection and correction of spelling errors in the Foundational Model of Anatomy (FMA). The FMA was tokenized into 4893 distinct words; misspellings were identified and corrected using the National Library of Medicine's SPECIALIST GSpell Spelling Suggestion API. We identified 43 errors occurring in 97 terms, and 6 words of questionable or inconsistent spelling occurring in 26 terms. These errors are replicated in other reference terminologies that use the FMA. Our approach may be useful as part of a quality assurance process for other large-scale biomedical knowledge resources.