Evidence map›Paper›PMID 23304337›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2012

Applications of ontology design patterns in biomedical ontologies.

Jonathan M Mortensen, Matthew Horridge, Mark A Musen, Natalya F Noy

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Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. VO: The Vaccine Ontology.Scientific data · 2026
    Article
  2. VO: The Vaccine Ontology.bioRxiv : the preprint server for biology · 2025
    Article
  3. Article
  4. An empirical analysis of ontology reuse in BioPortal.Journal of biomedical informatics · 2017
    Article
  5. Article
  6. Automated methods for the summarization of electronic health records.Journal of the American Medical Informatics Association : JAMIA · 2015
    Review
  7. Article
  8. Article
  9. An analysis of FMA using structural self-bisimilarity.Journal of biomedical informatics · 2013
    Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Jonathan M MortensenStanford Center for Biomedical Informatics Research, Stanford University, Stanford, CA 94305, USA.
Matthew Horridge
Mark A Musen
Natalya F Noy

Funding

STANFORD COMPOSITE(RMI)U54HG004028 · NHGRI · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2005 to 2014
$36.2M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
Collaborative Development of Biomedical Ontologies and TerminologiesR01GM086587 · NIGMS · STANFORD UNIVERSITY · PI MUSEN, MARK A · 2009 to 2016
$4.1M
NHGRI NIH HHS U54 HG004028NIGMS NIH HHS 1R01GM086587-01NIGMS NIH HHS R01 GM086587NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

Ontology design patterns (ODPs) are a proposed solution to facilitate ontology development, and to help users avoid some of the most frequent modeling mistakes. ODPs originate from similar approaches in software engineering, where software design patterns have become a critical aspect of software development. There is little empirical evidence for ODP prevalence or effectiveness thus far. In this work, we determine the use and applicability of ODPs in a case study of biomedical ontologies. We encoded ontology design patterns from two ODP catalogs. We then searched for these patterns in a set of eight ontologies. We found five patterns of the 69 patterns. Two of the eight ontologies contained these patterns. While ontology design patterns provide a vehicle for capturing formally reoccurring models and best practices in ontology design, we show that today their use in a case study of widely used biomedical ontologies is limited.

Indexed as

SoftwareVocabulary, ControlledMedical InformaticsModels, TheoreticalTerminology as Topic

Identifiers

PMID23304337
PMCPMC3540458

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.